Ravi Sekhar

Scopus Publications

Selective harmonic elimination in T-type multilevel inverter with reduced switch count using Sea-Horse Algorithm
Abadal-Salam T. Hussain, Taha Almulaisi, Hazry Desa, Enes Bektaş, Ravi Sekhar, Pritesh Shah, Ahmed Dheyaa Radhi, Noor N. Abed, S. B. Yaakob
Scientific Reports, 2026
Abstract Multi-level inverters (MLIs) are also used in relatively high-power systems; but the goals of low overall harmonic distortion (THD) and fewer power semiconductor devices remain a design issue of serious difficulty. Despite using different metaheuristic optimization methods to selective harmonic elimination (SHE), there are still drawbacks in convergence stability, finding accurate solutions, and the ability of the method to suppress harmonic. The proposed study will have a three-stage, 9-level, and reduced-switch-count T-type multilevel inverter design with pulse width modulation (PWM) and selective harmonic elimination (SHE). The equations of the nonlinear SHE switching angle are optimized with an objective of reducing harmonic distortion within basic voltage limitations over a broad modulation index depth (0.1–1.0). A fairly recent algorithm is the Sea-Horse Optimization (SHO) used to calculate the optimal switching angles of the SHE-PWM setup. The application of SHO is relatively compared with Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The simulation outcomes show that SHO is better in harmonic suppression and convergence is more stable. At M 1, SHO has a THDe of 0.03%, which is dramatically better than GA (0.19%) and PSO. The findings prove that the balance mechanism of exploration-exploitation and the search strategy of SHO which uses the Levy-flight mechanism promotes the improvement of optimization robustness. The suggested SHO-based SHE-PWM method enhances the quality of power and the number of switches is kept less providing a relevant and effective solution to a high-level multilevel inverter.
Optimized Ultra-low-power Analog Front-end for Reliable Biomedical Wearables
International Journal of Intelligent Engineering and Systems, 2026
Morphological Change Detection of the Lesser Zab River Between Dukan and Taq Taq Using GIS and Remote Sensing Techniques
Rasha Abdulmajeed Jawad, Azmi Shawkat Abdulbaqi, Lateef Abd Zaid Qudr, Ravi Sekhar, Pritesh Shah, Nitin Solke, Anand Pandey, Karam S. Khalid, A. D. Radhi
International Journal of Design and Nature and Ecodynamics, 2026
Exhaust Emissions Testing of a Passenger Car with Compressed Natural Gas and Compressed Biogas Fuels for Assessment of Tank-to-Wheel Emissions
Moqtik Bawase, Ravi Sekhar, Mohammad Jamadar, Yogesh Sathe, Sukrut Thipse
International Journal of Transport Development and Integration, 2026
Compressed natural gas (CNG) is an alternative fuel that has less environmental impact than conventional fossil fuels.However, the availability of CNG is a constraint as it is a non-renewable source of energy and is being imported to meet the energy demand of India.Compressed Biogas (CBG), which is produced from renewable sources, has the potential to replace CNG.Due to renewable sources, the emissions from CBG are considered biogenic, and they do not contribute to the carbon bank of the atmosphere.However, the tailpipe emission quantification for automobiles can give an idea of the localised emission comparison for CBG and CNG.In this study, a detailed evaluation of tail-pipe emissions from the passenger car, with CNG and CBG fuels, was carried out using standard test protocol as per the Modified Indian Driving Cycle (MIDC).Statistical tools and techniques such as inter-fuel correlation, t-test, dynamic time warping (DTW), and Cosine Similarity test were utilised for critical evaluation of the emissions of the pollutants at different stages of the test cycle, like cold-phase, hot-phase, and extra-urban driving phase, to evaluate the emissions of CO, HC, NO x , CO 2 , and CH 4 .Variability in emissions of CO, THC, NO x , and CH 4 was observed in the cold-phase for CNG and CBG fuels.Aggregate CO, THC, and CH 4 tail-pipe emissions (mg/km) were found to be lower in the case of CBG than with CNG.Aggregate NO x (mg/km) and CO 2 (g/km) emissions were higher in CBG.Significant variation in THC and CH 4 emissions was observed.CO 2 emissions were found to be similar for both fuels in all three phases.A marginal reduction (2%) in fuel efficiency with CBG compared to CNG was observed.Tank-to-wheel (TTW) greenhouse gas emissions of a passenger car with CNG as fuel were found to be about 24% lesser with CBG.The granular information generated in this study through a critical evaluation will be useful for engine designers for devising mitigation strategies to control the pollutant levels and to reduce their impact associated with air pollution exposure at ground level.
Experimental validation of a genetic algorithm tuned PIλDμ for temperature control using hardware in loop simulation
Sandra Francis, Pritesh Shah, Abhaya Pal Singh, Ravi Sekhar
Franklin Open, 2025
This paper presents the design, simultaneous Genetic Algorithm(GA) based optimisation, and real time implementation of a Fractional Order PID (FOPID) controller for precision thermal regulation on the Temperature Control Lab (TC Lab) platform. A second order transfer function model of the dual heater, dual sensor system was identified experimentally and used for controller synthesis. The FOPID differ integral operators were approximated by the Oustaloup Recursive Approximation (order 7, 0.01–100 rad/s) and discretised via the Tustin (bilinear) transformation for a 0.5 s sampling period.GA tuning minimised IAE, ISE, and ITAE to obtain controller gains and fractional orders. Numerical simulations(MATLAB R2024a) and real time experiments were performed to compare the GA optimized FOPID with a conventional PID. The key contributions are: (1) simultaneous GA tuning of gains and fractional orders for thermal regulation, (2) practical discretisation and real time deployment on Arduino Leonardo based TC Lab hardware, and (3) comprehensive simulation to experiment validation demonstrating improved transient and energy aware performance over integer order Proportional Integral Derivative (PID) controller.
Artificial Intelligence-Driven Neonatal Disease Diagnosis Using Efficient Particle Swarm Fine-Tuned Dilated Recurrent Neural Net: A High-Precision Deep Learning Approach
Saadya Fahad Jabbar, Asmaa Hussien Alwan, Nuha Sami Mohsin, Israa Ibraheem Al Barazanchi, Ravi Sekhar, Pritesh Shah, Shilpa Malge
International Journal of Safety and Security Engineering, 2025
A kid born younger than 28 days is considered neonatal.The majority of deaths among children under five in Ethiopia are caused by neonatal mortality, which is a severe issue.Infant illness diagnosis and treatment require specialist medical resources with a wealth of experience and expertise.There are not enough of these professionals in the world, especially in low-income nations, which makes diagnosis and treatment more challenging.This paper presents an efficient particle swarm fine-tuned dilated recurrent neural net (EPASFN-DRNN) to build an artificial intelligence (AI) system of neonatal illness diagnosis.Min-max normalization refers to one of the preliminary processing steps, which is used to normalize the clinical data in order to reduce the number of unnecessary variances and enhance the quality of the input data overall.The dynamic nature of neonatal health problems must be captured, and the EPASFN-DRNN's capacity to handle sequential data and extract pertinent characteristics becomes critical.The experimental setup is implemented using the Python programming language, a versatile system to build and run deep learning (DL) models, due to its ability to extract contextual information of varying scales, which increases the capability of the model to recognize small trends in neonatal health data.The study determines the effectiveness of EPASFN-DRNN by contrasting the results with the results of the previous methods.The EPASFN-DRNN model makes predictions of neonatal diseases with a high result of 99. 00, 98.60, 98.50, and 98.20 F1-score, recall, accuracy, and precision, respectively.The statistics confirm the capacity of the proposed model to diagnose patients in a correct and timely manner that would allow timely involvement of medical care and improve the health outcomes of newborns.
Enhancing Random Forest Model Accuracy using GridSearchCV Optimization for Predicting Multi-Cylinder Engine Performance with Hydrogen-Enriched Natural Gas Blends
Prasanna S Sutar, Ravi Sekhar, Shailesh B Sonawane, Debjyoti Bandyopadhyay, Sandeep D Rairikar, Sukrut S Thipse, Hiranmayee Ganorkar
Journal of Engineering and Technological Sciences, 2025
Diesel generators (gensets) are essential in India for industries, construction, agriculture, and as backup power for hospitals and data centres. Common fuels include diesel, petrol, natural gas, and, increasingly, solar energy, with hybrid systems gaining popularity for improved efficiency and reduced emissions. Diesel gensets remain reliable and cost-effective, especially in remote areas, but growing environmental concerns are driving adoption of cleaner alternatives like compressed natural gas (CNG), bio-CNG, and dual-fuel systems. HCNG (hydrogen-enriched compressed natural gas) gensets are more efficient and environmentally friendly, though they require greater initial investment. Adding hydrogen enhances combustion and reduces emissions. In this study, various HCNG blends were tested on a multi-cylinder, single-speed gas engine. Experimental evaluation of combustion and performance characteristics is typically time and resource-intensive, so Machine Learning (ML) was applied to streamline the process, thereby minimizing the number of required experiments. The engine performance is assessed using the engine dynamometer, whereas the combustion characteristics are obtained from the High-Speed Data Acquisition (HSDA) system. A Random Forest (RF) regression model was developed to predict performance and combustion characteristics for higher HCNG blends from lower-blend data, with hyperparameter optimization used to improve accuracy and minimize overfitting. Predicted values were validated against experimental results, showing strong correlations. Key parameters like Brake-Specific Fuel Consumption (BSFC), Brake Mean Effective Pressure (BMEP), Exhaust Temperature, Maximum In-Cylinder Combustion Pressure (Pmax), Indicated Mean Effective Pressure (IMEP) and Combustion Duration were predicted, with evaluations showing strong correlations between predicted values and actual results.
Multi-Objective Optimization of a Multi-Cylinder HCNG Engine Using an Integrated Taguchi–CRITIC–GRA Approach
Prasanna Sutar, Ravi Sekhar, Sukrut Thipse, Sandeep Rairikar, Shailesh Sonawane, Debjyoti Bandyopadhyay, Rit Dhar
Journal Europeen Des Systemes Automatises, 2025
Harnessing Neutrosophic Numerical Measures for Unbiased Quantitative Analysis of Oxidative Stress Biomarkers
International Journal of Intelligent Engineering and Systems, 2025
Oxidative stress has been identified as a potent factor in the pathogenesis of human diseases ranging from the neurodegenerative and cardiovascular diseases.Biomarkers of oxidative stress are complicated to measure due to biological variability, limitations of the measurements.Traditional spectrophotometric and deterministic models tend to ignore experimental errors giving unreliable diagnostic results.This work presents a new numeric framework in Neutrosophic form for overcoming these challenges.A quantitative model is formed to assess three biomarkers, namely malondialdehyde (MDA), superoxide dismutase (SOD), and catalase, based on Neutrosophic measures that consider indeterminacy and impreciseness of data in experiments.The presented method embeds weighted sum calculations and confidence intervals for the quantification of oxidative stress levels in a robust way.Two case studies are conducted: The first one measures neurodegenerative diseases and the second one measures cardiovascular risk in the patients with metabolic syndrome.The findings suggest major improvements over existing spectrophotometric methods and deterministic statistical models (linear regression analysis).According to Katzman (1993) criteria, as well as Alberti et al. (2006) rules, the proposed neutrosophic model performed better when applied to clinical datasets containing 50 metabolic syndrome patients and 100 neurodegenerative patients with Alzheimer's or Parkinson's.The proposed neutrosophic framework achieved superior performance with mean squared error (MSE) of 0.0091 (neurodegenerative) and 0.0129 (cardiovascular) compared to 0.0153 and 0.0214 from conventional methods, along with higher correlation coefficients (R) of 0.8198 and 0.7494 versus 0.7021 and 0.6532.
Emission Testing of Flex Fuel Vehicles up to M100/E100: Upgradation of Existing Test Facility for Vehicles below 3.5-ton GVW for Testing Methanol or Ethanol Operated Vehicles
Mohammad I. Jamadar, Ravi Sekhar, Vijay Ramarao Yada, Sandeep D. Rairikar, Sukrut Thipse
Journal Europeen Des Systemes Automatises, 2025
This paper is focused on enhancing the existing dilute emission measurement system to accommodate the emission testing of vehicles operating with gasoline blends with methanol and ethanol, dedicated M100/E100 etc. India is moving towards achieving the E20 blend on the pan-country level by April 2025 with the initiations of NITI Aayog and exploring alternate fuels like 100% methanol and ethanol.Government of India is now focused on introducing the flex fuel vehicle (FFV) technology that supports the usage of higher ethanol blends.As per CMVR guidelines for M and N category vehicles with a gross vehicle weight less than 3,500 kg; a dilute emission measurement system is used to evaluate tailpipe pollutants and fuel economy.Most of the present emission systems are compatible with testing the vehicle till M15 and E20 blends.Beyond this percentage, usage of a test facility for M100, E100, and other flex-fuel vehicles, require certain modifications in existing test facility to maintain the precision and reliability of the results considering higher water content in exhaust and effect of condensation on emission measurement due to dilution.The modifications needed, implementation and their impact are experimentally briefed in the present paper.
Development of real-time threat detection systems with AI-driven cybersecurity in critical infrastructure
Mesopotamian Journal of Cybersecurity, 2025
Impact of Hydrogen-Enriched CNG on Combustion Phasing, Fuel Efficiency, and Emissions in a Multi-Cylinder Spark-Ignition Engine under Varying Loads
Prasanna Sutar, Ravi Sekhar, Sukrut Thipse, Sandeep Rairikar, Shailesh Sonawane, Debjyoti Bandyopadhyay, Ajinkya Jadhav
Journal Europeen Des Systemes Automatises, 2025
Predictive Modelling of Personal Remittances Received in India Using Machine Learning
Deepali Singh, Jyoti Chandiramani, Ravi Sekhar
Ingenierie Des Systemes D Information, 2025
Cycle-to-Cycle Combustion Stability Evaluation of HCNG Blends in Multi-Cylinder Engines via Coefficient of Variation Analysis
Prasanna Sutar, Ravi Sekhar, Sukrut Thipse, Sandeep Rairikar, Shailesh Sonawane, Debjyoti Bandyopadhyay
Journal Europeen Des Systemes Automatises, 2025
Analysis of the Surface Quality Characteristics in Hard Turning Under a Minimal Cutting Fluid Environment
Sandip Mane, Rajkumar Bhimgonda Patil, Anindita Roy, Pritesh Shah, Ravi Sekhar
Applied Mechanics, 2025
Integrating Deep Learning into Location-Aided Routing (LAR) for Enhanced Mobile Ad-Hoc Networks (MANET): A Comprehensive Survey
Bourair Al-Attar, Zaid H. Nasralla, Intisar A. M. Al Sayed, Jamal Fadhil Tawfeq, Ravi Sekhar, Pritesh Shah, Shilpa Malge
International Journal of Safety and Security Engineering, 2025
Declining usage of LXP in automobile industry: An organizational challenge
Roshan Kumar, Ritesh Khatwani, Sonal Shree, Pritesh Shah, Ravi Sekhar
Aip Conference Proceedings, 2025
Experimental Investigation and Prediction of Combustion Parameters using Machine Learning in Ethanol-Gasoline Blended Engines
Shailesh Sonawane, Ravi Sekhar, Arundhati Warke, Sukrut Thipse, Sandeep Rairikar, Chetan Varma
Journal of Engineering and Technological Sciences, 2025
Fractional Order PID Controller Design and Tuning via Oustaloup Approximation for TCLab System
Sandra Francis, Pritesh Shah, Ravi Sekhar, Abhaya Pal Singh
2025 International Conference on Intelligent Control Computing and Communications Ic3 2025, 2025
Exploring the Educational Frontiers of Metaverse
Shaji Joseph, Apoorva Vikrant Kulkarni, Pritesh Shah, Ravi Sekhar
2025 International Conference on Information Implementation and Innovation in Technology I2itcon 2025, 2025
Pharmacokinetics Based Suggestive Model Predictive Control for Inspired Respiratory Anesthetic Drug Delivery in Patients Undergoing Surgery
Sushma Parihar, Pritesh Shah, Ravi Sekhar, Kalyani Bhole
Mathematical Modelling of Engineering Problems, 2025
Recent Advances in Energy-Efficient Fractional-Order PIControl for Industrial PLC-Based Automation: A Review
Sandra Francis, Pritesh Shah, Abhaya Pal Singh, Ravi Sekhar
International Journal of Robotics and Control Systems, 2025
Enhancing Network Security: Leveraging Machine Learning for Integrated Protection and Intrusion Detection
Nada Mohammed Murad, Adnan Yousif Dawod, Saadaldeen Rashid Ahmed, Ravi Sekhar, Pritesh Shah
Intelligent Automation and Soft Computing, 2025
A Framework for Intrusion Detection Systems in Wireless Body Area Networks: Improved Systems for Detecting and Mitigating Unauthorized Access to Enhance Network Security
Zinah Tareq Nayyef, Ravi Sekhar, Mahmoud Mahfuri, Sameh Ghwanmeh, Ahmed Dheyaa Radhi, Amol M. Dalavi
3rd International Conference on Business Analytics for Technology and Security Icbats 2025, 2025
Application of NLP to Analyse Sentiment of Market Reviews
Nalini Khatwani, Bhuvanesh Kumar Sharma, Neena Nanda, Pritesh Shah, Ravi Sekhar, Anuja Mohile
Proceedings of 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things Icoici 2025, 2025
Optimizing Analytical Thresholds in Serum Proteomics Using Neutrosophic Logic Systems
International Journal of Intelligent Engineering and Systems, 2025
Performance and In-cylinder Combustion Analysis of Gasoline Ethanol Fueled Spark-Ignition Engine
Shailesh Sonawane, Ravi Sekhar, Arundhati Warke, Sukrut Thipse, Sandeep Rairikar, Prasanna Sutar, Debjyoti Bandyopadhyay, Ajinkya Jadhav
Mathematical Modelling of Engineering Problems, 2025
Integrating Neutrosophic Theory for Improved Decision-Making in Wireless Body Area Networks: Enhancing Accuracy and Efficiency in Health Monitoring
, Ravi Ravi, , , , , , , , Bourair Al Al-Attar, Lateef Abd Zaid Qudr, Azmi Shawkat Abdulbaqi, Jamal Fadhil Tawfeq, Ravi Sekhar, Pritesh Shah, Marshiana Devaerakkam
International Journal of Neutrosophic Science, 2025
Optimization of Harmonic Elimination in PV-Fed Asymmetric Multilevel Inverters Using Evolutionary Algorithms
Taha Abdulsalam Almalaisi, Noor Izzri Abdul Wahab, Hussein I. Zaynal, Mohd Khair Hassan, Hasan S. Majdi, Ahmed Dheyaa Radhi, Nitin Solke, Ravi Sekhar
International Journal of Robotics and Control Systems, 2025
Utilizing a Novel Deep Learning Method for Scene Categorization in Remote Sensing Data
Ghufran A. Omran, Wassan Saad Abduljabbar Hayale, Ahmad AbdulQadir AlRababah, Israa Ibraheem Al-Barazanchi, Ravi Sekhar, Pritesh Shah, Sushma Parihar, Harshavardhan Reddy Penubadi
Mathematical Modelling of Engineering Problems, 2025
Optimized Selective Harmonic Elimination in CHB-MLI Using Red-Tailed Hawk Algorithm for Unequal DC Sources
Elaf Hamzah Yahia, Hasan Salman Hamad, Shouket A. Ahmed, Taha Abdulsalam Almalaisi, Hasan S. Majdi, Omer K. Ahmed, Nitin Solke, Ravi Sekhar
International Journal of Robotics and Control Systems, 2025
A Symmetric-Key Block Cipher Method for Medical Image Encryption to Promote Internet of Medical Things Applications
Asraa Y. Youssef, Sawsan D. Mahmood, Mohanad Sameer Jabbar, Azmi Shawkat Abdulbaqi, Jamal Fadhil Tawfeq, Ravi Sekhar, Pritesh Shah, Shilpa Malge
Mathematical Modelling of Engineering Problems, 2025
Diesel Ethanol Blends in Genset Engine: Ensuring Diesel-Like Performance at Reduced Emissions Using Optimal Cetane Enhancer-Based Additive Composition
Shailesh Sonawane, Ravi Sekhar, Arundhati Warke, Sukrut Thipse, Sandeep Rairikar, Prasanna Sutar, Debjyoti Bandyopadhyay, Ajinkya Jadhav
Journal Europeen Des Systemes Automatises, 2025
Neutrosophic Sets in Big Data Analytics: A Novel Approach for Feature Selection and Classification
Ravi Ravi, , , , , , , , , , Ahmed Dheyaa Radhi, Lateef Abd Zaid Qudr, Harshavardhan Reddy Penubadi, Ravi Sekhar, Pritesh Shah, Mrinal Bachute, Jamal Fadhil Tawfeq, Hassan muwafaq Gheni
International Journal of Neutrosophic Science, 2025
Self-Supervised Anomaly Detection in Encrypted Network Flows Using GRU Models with Sequence Reconstruction Loss
Murtada Hamed Hamza, Ahmed Dheyaa Radhi, Dina Fallah, Malik Yousuf Mtelib Al-Muttalib, Mohammed Amin Almaiah, Salaam Ahmed Mahdi, Ozzalden J Obeed, Ravi Sekhar, Nilisha Itankar
Iccr 2025 3rd International Conference on Cyber Resilience, 2025
Cross-Language Semantic Code Clone Detection in Large-Scale Software Repositories Using Transformer-Based Contrastive Learning
Ali Kadhum Mohammed, Bourair Al-Attar, Navnath B. Pokale, Dina Fallah, Alaulddin Hussein Ahmad, Salaam Ahmed Mahdi, Saad A Azize, Neha Divekar, Ravi Sekhar
Iccr 2025 3rd International Conference on Cyber Resilience, 2025
Customer Churn Prediction in Digital Banking Platforms Using Hybrid Ensemble Learning with Multi-Dimensional Behavioral Analytics
Muiead Hassan Ali, Majid M. Manhosh, Navnath B. Pokale, Mohammed Abdul Jaleel Maktoof, Ali A. Almsibawi, Rafal Saeed Amen, Zena M Mhd, Neha Divekar, Ravi Sekhar
Iccr 2025 3rd International Conference on Cyber Resilience, 2025
Real-Time Detection of Multi-Stage Cyber Attacks in Industrial IoT Networks Using Graph Attention Networks and Temporal LSTM Fusion
Qasim M. Khalaf, Bourair Al-Attar, Navnath B. Pokale, Ali Kadhum Mohammed, Yaser Issam Hamodi Aljanabi, Ruaa Fadhil, Hayder Abd Alrazaq, Neha Divekar, Ravi Sekhar
Iccr 2025 3rd International Conference on Cyber Resilience, 2025
An Investigating of 5G Multi-Access Edge Computing (MEC) and Subcarrier Spacing to Improve Wireless Communications
International Journal of Intelligent Engineering and Systems, 2025
Predictive Failure Detection in Cloud Infrastructure Using Multivariate Telemetry Log Analysis with Temporal Convolution and Attention-Based Deep Learning
Ali Kadhum Mohammed, Bourair Al-Attar, Haider Alzamily, Mohammed Amin Almaiah, Taif. S. Hasan, Abdalrahman Fatikhan Ataalla, Nitin Solke, Pritesh Shah, Ravi Sekhar
Iccr 2025 3rd International Conference on Cyber Resilience, 2025
Quantitative Impact Assessment of Robotic Process Automation (RPA) on Real-Time Financial Reporting Accuracy and Efficiency
Muqdad Hanoon Dawood, Mohammed Thakir Mahmood, Majid M. Manhosh, Ali Mohammed Hussein Jasim, Baedaa I Abd, Mohammed A Mahdi, Nitin Solke, Pritesh Shah, Ravi Sekhar
Iccr 2025 3rd International Conference on Cyber Resilience, 2025
Optimizing Small-Scale Wind Energy Generation: Site-Specific Wind Speed Analysis and Turbine Placement Strategies
Shouket A. Ahmed, Adem Çiçek, Enes Bektaş, Khalil Farhan Yassin, Ahmed Dheyaa Radhi, Raad Hamza Awad, Taha Abdulsalam Almalaisi, Nilisha Itankar, Ravi Sekhar, Ahmed H. Ahmed
International Journal of Robotics and Control Systems, 2025
A Control Strategy for Zeta Converter Adaptation in Photovoltaic Systems: Genetic Algorithm-Based PID Controller
Mohammed J. Mohammed, Adem Çiçek, Sarah B. Ezzat, Saad A. Assi, Taha Almulaisi, Ahmed I. Imran, Enes Bektas, Ravi Sekhar, Ahmed D. Radhi, Hasan S. Majdi, Hazry Desa, S. B. Yaakob, Pritesh Shah
International Journal of Robotics and Control Systems, 2025
An Experimental Investigation of Unregulated Pollutants from a Multi-Cylinder Diesel Engine: Impact of Ethanol Blending on Aldehyde Emissions
Shailesh Sonawane, Ravi Sekhar, Arundhati Warke, Sukrut Thipse, S. D. Rairikar, Jeetendra K. Purohit
Journal Europeen Des Systemes Automatises, 2024
Combining Local Binary Pattern with Stationary Wavelet Transform for Multiclass Classification of Brain Disorders
Vandana V. Kale, Pritesh Shah, Ravi Sekhar, C. Sonawane, Anand Pandey, Durgesh Nandan
Journal Europeen Des Systemes Automatises, 2024
Revolutionizing Urban Water Management: A Green-Aware Study Based on Innovative Approach
Elaf Dheyaa Abdulridha Al-Zubaidi, Hussein Abd Aljabbar Ismael, Mayasa M. Abdulrahman, Jamal Fadhil Tawfeq, Prasanna Sutar, Debjyoti Bandyopadhyay, Mugdha Kshirsagar, Pritesh Shah, Ravi Sekhar
International Journal of Sustainable Development and Planning, 2024
Noise robust classification of carbide tool wear in machining mild steel using texture extraction based transfer learning approach for predictive maintenance
Ravi Sekhar, Sharnil Pandya, Pritesh Shah, Hemant Ghayvat, Deepak Sharma, Matthias Renz, Deep Shah, Adeeth Jagdale, Devansh Hukmani, Santosh Saxena, Neeraj Kumar
Results in Control and Optimization, 2024
Performance Analysis of Advanced Encryption Standards for Voice Cryptography with Multiple Patterns
Firas Hazzaa, Akram Qashou, Israa Ibraheem Al Barazanchi, Ravi Sekhar, Pritesh Shah, Mrinal Bachute, Azmi Shawkat Abdulbaqi
International Journal of Safety and Security Engineering, 2024
Enhanced Support Vector Machine-Based Intelligent Classification of Trusted Nodes in WBAN for Resilient Infrastructure
Adil M. Salman, Haider Hadi Abbas, Intisar A.M. Al Sayed, Azmi Shawkat Abdulbaqi, Ravi Sekhar, Pritesh Shah, Sayali Sandbhor
Mathematical Modelling of Engineering Problems, 2024
Innovative Progress in Phased-Array Antenna Systems for Ultra-Low Latency and High-Speed Communication Networks for Resilient Infrastructure
Mayasa M. Abdulrahman, Mohanad Sameer Jabbar, Ahmad AbdulQadir AlRababah, Ravi Sekhar, Pritesh Shah
Mathematical Modelling of Engineering Problems, 2024
A Comparative performance evaluation of a complex-order PI controller for DC–DC converters
Preeti Warrier, Pritesh Shah, Ravi Sekhar
Results in Control and Optimization, 2024
Network Fortification: Leveraging Support Vector Machine for Enhanced Security in Wireless Body Area Networks
Layth A. Jasim, Ahmed Talal Kamil, Mohammed F. Ibrahim Alsarraj, Israa Ibraheem Al_Barazanchi, Ravi Sekhar, Pritesh Shah, Shilpa Malge
International Journal of Safety and Security Engineering, 2024
Enhanced Network Traffic Classification with Machine Learning Algorithms
Ihab Ahmed Najm, Ahmed Hikmat Saeed, B.A. Ahmad, Saadaldeen Rashid Ahmed, Ravi Sekhar, Pritesh Shah, B.S. Veena
ACM International Conference Proceeding Series, 2024
Real-Time Image Denoising Using Deep Learning for Cybersecurity Applications
Nada Mohammed Murad, Sulaiman Yousif Hardan, Saadaldeen Rashid Ahmed, Leena Ali, Ravi Sekhar, Pritesh Shah, B.S. Veena
ACM International Conference Proceeding Series, 2024
Adaptive Intrusion Detection System Using Deep Learning for Network Security
Ali Fenjan, Mohammed Thakir Mahmood Almashhadany, Saadaldeen Rashid Ahmed, Hala Adnan Fadel, Ravi Sekhar, Pritesh Shah, B.S. Veena
ACM International Conference Proceeding Series, 2024
Efficient Cybersecurity Assessment Using SVM and Fuzzy Evidential Reasoning for Resilient Infrastructure
Zaydon L. Ali, Wassan Saad Abduljabbar Hayale, Israa Ibraheem Al_Barazanchi, Ravi Sekhar, Pritesh Shah, Sushma Parihar
Ingenierie Des Systemes D Information, 2024
Experimental Research in Frequency and Time Domain for Electromechanical System with Distributed Parameters in Mechanical Part
Andrei Korneev, Yitong Niu, Gennady Lenevsky, Israa Ibraheem Al_Barazanchi, Ravi Sekhar, Pritesh Shah, Nitin Solke
Mathematical Modelling of Engineering Problems, 2024
Application of a TID controller for assessing frequency stability in a thermal power system with renewable energy sources
D. Murugesan, K. Jagatheesan, Pritesh Shah, Ravi Sekhar
Emerging Materials Technologies and Solutions for Energy Harvesting, 2024
Fractional order control: A bibliometric analysis (2000–2022)
Pritesh Shah, Ravi Sekhar, Deepak Sharma, Harshavardhan Reddy Penubadi
Results in Control and Optimization, 2024
Sustainable optimizing WMN performance through meta-heuristic TDMA link scheduling and routing
Ravi Sekhar, Haider Rasheed Abdulshaheed, Harshavardhan Reddy Penubadi, J. F. Tawfeq, Azmi Shawkat Abdulbaq, A. D. Radhi, Pritesh Shah, H. M. Gheni, Ritesh Khatwani, Neena Nanda, Pradip Kumar Mitra, Shubhra Aanand, Yitong Niu
Heritage and Sustainable Development, 2024
Evaluating the Impact of Emotions and Awareness on User Experience in Virtual Learning Environments for Sustainable Development Education
Amer Ibrahim, Intisar A.M. Al Sayed, Mohanad Sameer Jabbar, Hissah Almutairi, Ravi Sekhar, Pritesh Shah, Israa Ibraheem Al_Barazanchi
Ingenierie Des Systemes D Information, 2024
Elevating Mobile Robotics: Pioneering Applications of Artificial Intelligence and Machine Learning
Haider Sahib Nasrallah, Ivan V. Stepanyan, Karrar Sahib Nassrullah, Neder Jair Mendez Florez, Israa M. Abdalameer AL-Khafaji, Abdelrrahmane Mohamed Zidoun, Ravi Sekhar, Pritesh Shah, Sushma Parihar
Revue D Intelligence Artificielle, 2024
Experimental Investigation of Effect of Various Diesel-Ethanol Blends on In-Use Multi-Cylinder Engine Performance and Emission
Shailesh Balkrishna Sonawane, Ravi Sekhar, Arundhati Warke, Sukrut S Thipse, Sandeep Rairikar, Prasanna S Sutar, Ajinkya Jadhav
SAE Technical Papers, 2024
Towards Resilient Machine Learning Models: Addressing Adversarial Attacks in Wireless Sensor Network
Journal of Robotics and Control Jrc, 2024
AHP and Fuzzy AHP Multi-Criteria Decision Making Process: A Brief Study of Laptop Selection
Om Shankar, Faizan Mirza, Ritesh Khatwani, Pradip Kumar Mitra, Pritesh Shah, Ravi Sekhar
2024 International Conference on Intelligent Systems and Advanced Applications Icisaa 2024, 2024
Enhancing Accuracy in WBANs Through Optimal Sensor Positioning and Signal Processing: A Systematic Methodology
Israa Ibraheem Al Barazanchi, Mayasa M. Abdulrahman, Reema Thabit, Wahidah Hashim, Amol M. Dalavi, Ravi Sekhar
International Conference on Electrical Engineering Computer Science and Informatics Eecsi, 2024
Secure Trust Node Acquisition and Access Control for Privacy-Preserving Expertise Trust in WBAN Networks
Israa Ibraheem Al Barazanchi, Wahidah Hashim, Reema Thabit, Ravi Sekhar, Pritesh Shah, Harshavardhan Reddy Penubadi
Lecture Notes in Networks and Systems, 2024
Security and Privacy Protection for Online Electronic Documents Based on Novel Encryption Techniques
Amer Ibrahim, , , , , , Ravi Sekhar, Jamal Fadhil Tawfeq, Sinan Q. Salih, Ahmed Dheyaa Radhi
Journal of Intelligent Systems and Internet of Things, 2024
Improving Shape Transformations for RGB Cameras Using Photometric Stereo
Ravi Ravi, , , , , , , A. N. .., Ahmed L. .., Ravi Sekhar, Pritesh Shah, Jamal F. Tawfeq
Fusion Practice and Applications, 2024
Integrated Digital Signature Based Watermarking Technology for Securing Online Electronic Documents
Sinan Q. Salih, , , , , , , Ravi .., Jamal Fadhil .., Amer .., Pritesh .., Ahmed Dheyaa Radhi
Fusion Practice and Applications, 2024
Exploring Anomalous Relaxation Models in Prime Number Distribution and Their Relevance to Sustainable Development Education
Sara AlauLdeen Abdulqader, Israa Ibraheem Al_Barazanchi, Zahraa A. Jaaz, Ravi Sekhar, Pritesh Shah, Shilpa Malge
Mathematical Modelling of Engineering Problems, 2024
Secure and Efficient Classification of Trusted and Untrusted Nodes in Wireless Body Area Networks: A Survey of Techniques and Applications
Israa Ibraheem Al Barazanchi, Wahidah Hashim, Reema Thabit, Ravi Sekhar, Pritesh Shah, Harshavardhan Reddy Penubadi
Lecture Notes in Networks and Systems, 2024
Design and Development of Powerful Neuroevolution Based Optimized GNN-BiLSTM Model for Consumer Behaviour and Effective Recommendation in Social Networks
International Journal of Intelligent Engineering and Systems, 2024
Eco-friendly and Secure Data Center to Detection Compromised Devices Utilizing Swarm Approach
International Journal of Intelligent Engineering and Systems, 2024
Deep Learning Models for Hedging Strategies in Derivative Markets
Ritesh Khatwani, Pritesh Shah, Ravi Sekhar, Harshavardhan Reddy Penubadi, Pradip Kumar Mitra, Lalit Shrotriya, Sayantan Das
2024 International Conference on Intelligent Systems and Advanced Applications Icisaa 2024, 2024
Intrusion Detection in Software-Defined Networks: Leveraging Deep Reinforcement Learning with Graph Convolutional Networks for Resilient Infrastructure
Mohanad Mohanad, , , , , , , , Firas Hazzaa, Mohanad Sameer .., Jamal Fadhil .., Ravi Sekhar, Pritesh .., Sushma Parihar
Fusion Practice and Applications, 2024
Enhanced Dynamic Control of Quadcopter PMSMs Using an ILQR-PCC System for Improved Stability and Reduced Torque Ripples
Journal of Robotics and Control Jrc, 2024
Instant High Starting Current Protection System for Induction Motor Based Reducing the Starting Speed
Saadaldeen Rashid Ahmed, Mohammed Fadhil, Ravi Sekhar, Abadal-Salam T. Hussain, Nilisha Itankar, Jamal Fadhil Tawfeq, Taha A. Taha, Shouket A. Ahmed
Lecture Notes in Networks and Systems, 2024
Enhanced Transformer Overload Power Protection with Small Transient Period Differential Relay Control
Saadaldeen Rashid Ahmed, Basim Galeb Mejbel, Adel A. Abbas, Ahmed Dheyaa Radhi, Ola Farooq Jelwy, Abadal-Salam T. Hussain, Duaa A. Majeed, Jamal Fadhil Tawfeq, Ravi Sekhar
Hora 2024 6th International Congress on Human Computer Interaction Optimization and Robotic Applications Proceedings, 2024
Integrating AIoT and Machine Learning for Enhanced Transformer Overload Power Protection in Sustainable Power Systems
Saadaldeen Rashid Ahmed, Taha A. Taha, Rawshan Nuree Othman, Abadal-Salam T. Hussain, Jamal Fadhil Tawfeq, Ravi Sekhar, Sushma Parihar, Maha Mohammed Attieya
Lecture Notes in Networks and Systems, 2024
Machine Learning for Sustainable Power Systems: AIoT-Optimized Smart-Grid Inverter Systems with Solar Photovoltaics
Saadaldeen Rashid Ahmed, Abadal-Salam T. Hussain, Duaa A. Majeed, Yousif Sufyan Jghef, Jamal Fadhil Tawfeq, Taha A. Taha, Ravi Sekhar, Nitin Solke, Omer K. Ahmed
Lecture Notes in Networks and Systems, 2024
Optimizing Solar Energy Harvesting: A Comprehensive Study on Photovoltaic Tracking Systems and Their Impact on Renewable Energy Efficiency
Saadaldeen Rashid Ahmed, Abadal-Salam T. Hussain, Jamal Fadhil Tawfeq, Sazan Kamal Sulaiman, Ravi Sekhar, Nitin Solke, Taha A. Taha, Omer K. Ahmed, Shouket A. Ahmed
Lecture Notes in Networks and Systems, 2024
Empowering the Solar Street Lighting Revolution: Developing a Smart-Relay-Controlled Photovoltaic System for Enhanced Efficiency, Sustainability, and Operational Control
Saadaldeen Rashid Ahmed, Basim Galeb Mejbel, Talib Hussein Khamil, Ahmed Dheyaa Radhi, Azhar. R Al-Ani, Abadal-Salam T. Hissain, Duaa A. Majeed, Jamal Fadhil Tawfeq, Ravi Sekhar
Hora 2024 6th International Congress on Human Computer Interaction Optimization and Robotic Applications Proceedings, 2024
Enhancing Renewable Energy Integration: A Comprehensive Study and Control Analysis of Smart-Grid Inverter Systems Utilizing Solar Photovoltaics for Sustainable Electricity Generation
Basim Galeb Mejbel, Saadaldeen Rashid Ahmed, Sabah Jebur AlJanabi, Ahmed Dheyaa Radhi, Noor Haydar Shaker, Abadal-Salam T. Hussain, Duaa A. Majeed, Jamal Fadhil Tawfeq, Ravi Sekhar
Hora 2024 6th International Congress on Human Computer Interaction Optimization and Robotic Applications Proceedings, 2024
Efforts of Neutrosophic Logic in Medical Image Processing and Analysis
Ravi Ravi, , , , , , , , , , , Bourair Al Al-Attar, Lateef Abd Zaid Qudr, Harshavardhan Reddy Penubadi, Ravi Sekhar, Pritesh Shah, Sushma Parihar, Sushmitha Kallam, Jamal Fadhil Tawfeq, Hassan muwafaq Gheni
International Journal of Neutrosophic Science, 2024
Sustainable electronic document security: a comprehensive framework integrating encryption, digital signature and watermarking algorithms
Harshavardhan Reddy Penubadi, Pritesh Shah, Ravi Sekhar, Mashary N. Alrasheedy, Yitong Niu, Ahmed Dheyaa Radhi, Muhammed Tharwat, Jamal Fadhil Tawfeq, Hassan Muwafaq Gheni, Azmi Shawkat Abdulbaqi
Heritage and Sustainable Development, 2023
A Comprehensive Pattern Recognition Neural Network for Collision Classification Using Force Sensor Signals
Abdel-Nasser Sharkawy, Alfian Ma’arif, Furizal, Ravi Sekhar, Pritesh Shah
Robotics, 2023
Forecasting of Engine Performance for Gasoline-Ethanol Blends using Machine Learning
Shailesh Sonawane, Ravi Sekhar, Arundhati Warke, Sukrut Thipse, Chetan Varma
Journal of Engineering and Technological Sciences, 2023
Fractional order PIλDμ controller for microgrid power system using cohort intelligence optimization
Murugesan D., Jagatheesan K., Pritesh Shah, Ravi Sekhar
Results in Control and Optimization, 2023
A bibliometric analysis of cyber security and cyber forensics research
Deepak Sharma, Ruchi Mittal, Ravi Sekhar, Pritesh Shah, Matthias Renz
Results in Control and Optimization, 2023
Lean Manufacturing Soft Sensors for Automotive Industries
Ravi Sekhar, Nitin Solke, Pritesh Shah
Applied System Innovation, 2023
Investigating Shearing, Ploughing, and Particle Fracture Forces in Turning of Low Percent Reinforcement Al/B4C Metal Matrix Composites
Ravi Sekhar, Pritesh Shah
Revue Des Composites Et Des Materiaux Avances, 2023
Communication Protocols in Industry 4.0
Muskan Shaikh, Pritesh Shah, Ravi Sekhar
2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology Icseiet 2023, 2023
Automatic Code Generation in Model Based Design and Digital Signal Processing
Ketki Kshirsagar, Shivam Rane, Pritesh Shah, Ravi Sekhar
2023 4th International Conference for Emerging Technology Incet 2023, 2023
Embedded Systems in Industrial Automation 4.0
Dapynhunlang Shylla, Pritesh Shah, Ravi Sekhar, Murugesan D
2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
Optimization of Load Frequency Control Gain Parameters for Stochastic Microgrid Power System
D Murugesan, K. Jagatheesan, Pritesh Shah, Ravi Sekhar
Journal of Robotics and Control Jrc, 2023
Transforming Automotive Industries Using PLC (Programmable Logic Controller) with Advanced Tools and AutoCode Generation
Vaibhav Saini, Ayushi Jain, Pritesh Shah, Ravi Sekhar
2023 2nd International Conference on Futuristic Technologies Incoft 2023, 2023
Model in Loop (MIL), Software in Loop (SIL) and Hardware in Loop (HIL) Testing in MBD
Dapynhunlang Shylla, Ayushi Jain, Pritesh Shah, Ravi Sekhar
2023 4th IEEE Global Conference for Advancement in Technology Gcat 2023, 2023
Smart Sensors in Industry 4.0
Ayush Dodia, Pritesh Shah, Ravi Sekhar, Murugesan D
2023 4th International Conference for Emerging Technology Incet 2023, 2023
Anthropomorphism of AI based chatbots by users during communication
Avanti Chinmulgund, Ritesh Khatwani, Poornima Tapas, Pritesh Shah, Ravi Sekhar
2023 3rd International Conference on Intelligent Technologies Conit 2023, 2023
Model Based Design in Automotive Open System Architecture
Bhavesh Raju Mudhivarthi, Vaibhav Saini, Ayush Dodia, Pritesh Shah, Ravi Sekhar
Proceedings of the 7th International Conference on Intelligent Computing and Control Systems Iciccs 2023, 2023
Role of Hardware in the Loop Testing in Model Based Design
Devanshi Gurudev, Muskan Shaikh, Pritesh Shah, Ravi Sekhar, Durgesh Nandan
2023 2nd International Conference on Futuristic Technologies Incoft 2023, 2023
Revolutionizing Wood Finishes: Innovative Marketing Strategies in Architecture and Interior Design
Shubhada Vyawhare, Madhura Bedarkar, Ritesh Khatwani, Pritesh Shah, Ravi Sekhar
3rd IEEE International Conference on ICT in Business Industry and Government Ictbig 2023, 2023
Is the Internet of Things (IoT) helping people and planet achieve Sustainable Development Goals?
Komal Dhiwar, Ritesh Khatwani, Madhura Bedarkar, Pritesh Shah, Ravi Sekhar
2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
Cybernetic Technologies in Industry 4.0
Bhavesh Raju Mudhivarthi, Pritesh Shah, Ravi Sekhar, Murugesan D, Kalyani Bhole
2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
Automated Driving Capabilities using advanced software tools to improve optimization for Autonomous Vehicle in Industry 4.0
Vaibhav Saini, Ayushi Jain, Pritesh Shah, Ravi Sekhar, Preeti Warrior
2023 1st International Conference on Advances in Electrical Electronics and Computational Intelligence Icaeeci 2023, 2023
Comparative Analysis of ML Algorithms for Fraud Detection in Financial Transactions
Priyansu Saha, Shubhra Aanand, Pritesh Shah, Ritesh Khatwani, Pradip Kumar Mitra, Ravi Sekhar
2023 1st International Conference on Advances in Electrical Electronics and Computational Intelligence Icaeeci 2023, 2023
Stock Price Prediction using Deep Learning and Sentiment Analysis
Ayush Churi, Drik Chakraborty, Ritesh Khatwani, Geetanjali Pinto, Pritesh Shah, Ravi Sekhar
2023 2nd International Conference on Futuristic Technologies Incoft 2023, 2023
Cryptocurrency Algorithmic Trading with Price Forecasting Analysis using PowerBI
Lalit Shrotriya, Ritesh Khatwani, Mahima Mishra, Pritesh Shah, Jinisha Badala, Avanti Chinmulgund, Madhura Bedarkar, Ravi Sekhar
2023 1st International Conference on Advances in Electrical Electronics and Computational Intelligence Icaeeci 2023, 2023
Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief Review
Sushma Parihar, Pritesh Shah, Ravi Sekhar, Jui Lagoo
Applied System Innovation, 2022
Distance to empty soft sensor for ford escape electric vehicle
Ravi Sekhar, Pritesh Shah, Satyam Panchal, Michael Fowler, Roydon Fraser
Results in Control and Optimization, 2022
Robotics in Industry 4.0: A Bibliometric Analysis (2011-2022)
Ravi Sekhar, Pritesh Shah, Iswanto Iswanto
Journal of Robotics and Control Jrc, 2022
Intelligent Classification of Tungsten Inert Gas Welding Defects: A Transfer Learning Approach
Ravi Sekhar, Deepak Sharma, Pritesh Shah
Frontiers in Mechanical Engineering, 2022
Machine Learning-Based Predictive Modeling and Control of Lean Manufacturing in Automotive Parts Manufacturing Industry
Nitin S. Solke, Pritesh Shah, Ravi Sekhar, T. P. Singh
Global Journal of Flexible Systems Management, 2022
MATLAB and Simulink for Building Automation
Vaibhav Saini, Pritesh Shah, Ravi Sekhar
Ibssc 2022 IEEE Bombay Section Signature Conference, 2022
Model Based Design in Industrial Automation
Ketki Kshirsagar, Pritesh Shah, Ravi Sekhar
2022 6th International Conference on Computing Communication Control and Automation Iccubea 2022, 2022
Survey of Technologies for Industry 4.0
Shivam Rane, Pritesh Shah, Ravi Sekhar
2022 6th International Conference on Computing Communication Control and Automation Iccubea 2022, 2022
Machine learning based predictive modeling and control of surface roughness generation while machining micro boron carbide and carbon nanotube particle reinforced Al-Mg matrix composites
Ravi Sekhar, T. P. Singh, Pritesh Shah
Particulate Science and Technology, 2022
Design and Implementation of CRONE Controller for Automatic Voltage Regulator (AVR) System
Pritesh Shah, Ravi Sekhar, Margi Shah
Ibssc 2022 IEEE Bombay Section Signature Conference, 2022
Soft Sensors For Urban Water Body Eutrophication Using Two Layer Feedforward Neural Networks
Iaeng International Journal of Computer Science, 2022
Cohort intelligence optimization based controller design of isolated and interconnected thermal power system for automatic generation control
D Murugesan, Pritesh Shah, K Jagatheesan, Ravi Sekhar, Anand J. Kulkarni
2022 2nd International Conference on Computer Science Engineering and Applications Iccsea 2022, 2022
State of the art in metal matrix composites research: A bibliometric analysis
Ravi Sekhar, Deepak Sharma, Pritesh Shah
Applied System Innovation, 2021
Soft sensors for state of charge, state of energy and power loss in formula student electric vehicle
Kanishkavikram Purohit, Shivangi Srivastava, Varun Nookala, Vivek Joshi, Pritesh Shah, Ravi Sekhar, Satyam Panchal, Michael Fowler, Roydon Fraser, Manh-Kien Tran, Chris Shum
Applied System Innovation, 2021
A novel GPU based intrusion detection system using deep autoencoder with Fruitfly optimization
R. Sekhar, K. Sasirekha, P. S. Raja, K. Thangavel
SN Applied Sciences, 2021
Machine Learning Based Predictive Modeling of Ball Nose End Milling using Exogeneous Autoregressive Moving Average Approach
Vijaykumar S. Jatti, Ravi Sekhar, Pritesh Shah
Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies Icmimt 2021, 2021
System identification of tool chip interface friction while machining CNT-Mg-Al composites
Ravi Sekhar, T. P. Singh, Pritesh Shah
Aip Conference Proceedings, 2021
Predictive Modeling of A Bio-Fuelled Diesel Engine Using System Identification Approach
Pritesh Shah, Ravi Sekhar, Punit Singh
2021 6th International Conference on Renewable Energy Generation and Applications Icrega 2021, 2021
Predictive Modeling and Control of Clamp Load Loss in Bolted Joints Based on Fractional Calculus
Pritesh Shah, Ravi Sekhar
Lecture Notes in Electrical Engineering, 2021
Analysis of research trends in fractional controller using latent dirichlet allocation
Engineering Letters, 2021
Pid-based with odometry for trajectory tracking control on four-wheel omnidirectional COVID-19 aromatherapy robot
. Iswanto, Alfian Ma’arif, Nia Maharani Raharja, Gatot Supangkat, Fitri Arofiati, Ravi Sekhar, Dhiya Uddin Rijalusalam
Emerging Science Journal, 2021
Precise position control of quanser servomotor using fractional order fuzzy PID controller
Rohit Bhimte, Kalyani Bhole-Ingale, Pritesh Shah, Ravi Sekhar
2020 IEEE Bombay Section Signature Conference Ibssc 2020, 2020
Predictive Modeling of a Flexible Robotic Arm using Cohort Intelligence Socio-Inspired Optimization
Ravi Sekhar, Pritesh Shah
Proceeding 1st International Conference on Information Technology Advanced Mechanical and Electrical Engineering Icitamee 2020, 2020
Intrusion detection system using simple recurrent neural network and tuning hyper parameters with adaptive learning algorithms in green wireless networks
Journal of Green Engineering, 2020
Complex order PIα+ jβDγ+ jθ design for surface roughness control in machining CNT Al-Mg hybrid composites
Ravi Sekhar, Tejinder Paul Singh, Pritesh Shah
Advances in Science Technology and Engineering Systems, 2020
Closed Loop System Identification of a DC Motor using Fractional Order Model
Pritesh Shah, Ravi Sekhar
Proceedings of the 2019 International Conference on Mechatronics Robotics and Systems Engineering Morse 2019, 2019
ARX/ARMAX Modeling and Fractional Order Control of Surface Roughness in Turning Nano-Composites
Ravi Sekhar, T. P. Singh, Pritesh Shah
Proceedings of the 2019 International Conference on Mechatronics Robotics and Systems Engineering Morse 2019, 2019
Determination of johnson cook parameters in turning of micro and nano reinforced aluminum composites using trust region reflective algorithm
Ravi Sekhar*, , T. P. Singh, and
International Journal of Innovative Technology and Exploring Engineering, 2019
Simulation based process optimization for additive manufacturing
C. Mohan, , P. Selvaraju, S. Shanmugan, , and
International Journal of Innovative Technology and Exploring Engineering, 2019
Application of fractional pid controller to single and multi-variable non-minimum phase systems
Pritesh Shah, , Ravi Sekhar, Sudhir Agashe, , and
International Journal of Recent Technology and Engineering, 2019
Intrusion detection system using deep neural network and regularization of hyper parameters with adam optimizer
International Journal of Engineering and Advanced Technology, 2019
Intrusion detection system using back propagation neural network and ffnn with different training parameters
Journal of Advanced Research in Dynamical and Control Systems, 2019
Experimental study on different adherend surface roughness on the adhesive bond strength
Akshay Ghumatkar, Ravi Sekhar, Sandip Budhe
Materials Today Proceedings, 2017
Simulation Mechanism Development for Additive Manufacturing
Anupam Pandit, Ravi Sekhar, Ram K. Revanur
Materials Today Proceedings, 2017
Influence of adherend surface roughness on the adhesive bond strength
A. Ghumatkar, S. Budhe, R. Sekhar, M.D. Banea, S. de Barros
Latin American Journal of Solids and Structures, 2016
Mechanisms in turning of metal matrix composites: A review
Ravi Sekhar, T.P. Singh
Journal of Materials Research and Technology, 2015
Finite element analysis of force variation with cutting speed in orthogonal turning of aluminum AA6351 alloy
International Journal of Applied Engineering Research, 2015
Human energy harvesting through a low cost footstep power generator
International Journal of Applied Engineering Research, 2015
An investigation of tire tread material effect on auto wheel impact strength using fea and experimentation
International Journal of Applied Engineering Research, 2015
Finite element analysis of mono composite leaf spring for automobile application
International Journal of Applied Engineering Research, 2015
Process capability and stability analysis in track grinding of taper roller bearings
International Journal of Applied Engineering Research, 2015
Pareto analysis based investigation and reduction of welding-defects in automobile ring gear/flex plate assembly
International Journal of Applied Engineering Research, 2015
Reduction in chamfer width variation in epicyclic ring gear manufacturing using pareto analysis
International Journal of Applied Engineering Research, 2014
Optimization of tool shape and size in EDM of al alloy metal matrix composites
International Journal of Applied Engineering Research, 2013
Study of ball nose end milling of LM6 al alloy: Surface roughness optimisation using genetic algorithm
International Journal of Engineering and Technology, 2013
Synthesis and characterization of SiC reinforced HE-30 al alloy particulate MMCs
International Journal of Engineering and Technology, 2013

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