Rahul S G

Scopus Publications

Predictive analysis of wind power using bi-directional permutation enhanced LSTM-RNN on SCADA dataset
Sridhar S., Shamanth M. Hiremath, Neelamsetti Kiran Kumar, Rahul S.G., Yuvaraja Teekaraman, Amirthalakshmi T.M.
Array, 2026
The transition to sustainable energy positions wind power as a key renewable solution. As demand grows, wind turbines are deployed across diverse terrains. However, wind’s stochastic nature and environmental variability complicate power forecasting, affecting grid stability. The study leverages data-driven techniques to enhance wind power forecasting using high-resolution SCADA system time-series data. Key operational parameters include wind speed, rotor speed, generator speed, nacelle orientation, ambient temperature and power output. A comparative analysis evaluates traditional machine learning models—Linear Regression, Decision Trees, Random Forests, Gradient Boosting and Support Vector Machines—against deep learning models like Long Short-Term Memory (LSTM) networks and a novel Recurrent Neural Network (RNN) architecture. The core contribution is an optimized Bidirectional LSTM-RNN model with permutation layers and attention. These layers capture long-range dependencies and nonlinear interactions in wind data. The structure improves long-range dependency capture and nonlinear interaction modeling. Bidirectionality enables learning from both past and future time steps, while attention mechanisms highlight critical temporal features. Experimental results demonstrate the proposed model’s superior performance, achieving a Mean Absolute Error (MAE) of 0.0994 and Root Mean Square Error (RMSE) of 0.1390, significantly outperforming traditional models (e.g., Random Forest: MAE 86.44, RMSE 220.30) and basic LSTM models (MAE 14.48, RMSE 15.27). Robust cross-validation confirms its ability to generalize across different temporal segments. Feature importance analysis improves interpretability, supporting informed decision-making in wind farm operations. The framework is scalable, modular and well-suited for real-time forecasting applications. The work presents a reliable deep learning model for wind power forecasting, enabling intelligent, data-driven energy management in modern power systems.
Corrigendum to “Active power control in horizontal axis wind turbine considering the fatigue structural load parameter using psuedo adaptive-model predictive control scheme”(Sustainable Energy Technologies and Assessments, (2023), 57, C, (103166), (S2213138823001595), 10.1016/j.seta.2023.103166)
G. Srinivasa Sudharsan, N. Karthikeyan, S.G. Rahul, Anuj Kumar
Sustainable Energy Technologies and Assessments, 2026
Aquaculture Fish Disease Detection Using a Hybrid Dual-Branch Convolutional Neural Network
Avinaash Arjun V, Rahul S G, T M Amirthalakshmi
Iccids 2026 9th International Conference on Computational Intelligence in Data Science, 2026
Aquaculture has been widely used in the world in terms of its contribution to the global food security but fish diseases have been a major challenge to sustainable production. These diseases need to be detected early and accurately to reduce the massive death rates and financial losses. Deep learning-based methods of image classification in fish disease detection are investigated in this paper. The dataset employed to test four models, namely ResNet50, EfficientNetB0, MobileNetV2, and the proposed Hybrid Dual-Branch CNN, combining ResNet50 with MobileNetV2, consisted of 697 images of seven fish diseases. According to the experimental outcomes, ResNet50 and EfficientNetB0 demonstrated the highest accuracy of 95.55% and 94.26, respectively, and MobileNetV2 had the least accuracy of 66.00. The proposed Hybrid Dual-Branch CNN performed better than all the other models in the two-class classification scenario with an accuracy of 96.84 and a macro-F1 score of 0.97. This enhanced performance is due to the complementary nature of feature extraction in the two networks where ResNet50 is more efficient in deep structural and textural features and MobileNetV2 is specialized in lightweight shape and colour patterns. These results highlight the promising nature of hybrid architectures in strong and scalable fish disease diagnostics in aquaculture.
Scalable Hybrid Ensemble Models for Crop Recommendation in Precision Farming Contexts
Avinaash Arjun V, Rahul S G, T M Amirthalakshmi
Iccids 2026 9th International Conference on Computational Intelligence in Data Science, 2026
Precision agriculture requires proper recommendation of crops, which makes it possible to make decisions that maximize yields and resource utilization. The conventional approaches to crop selection are not always effective in such circumstances as soil erosion and changing climate. This paper provides a machine learning model that forecasts the most appropriate crop, which is determined by the data-driven classification of soil nutrients (N, P, K), climate (temperature, humidity, rainfall) and soil pH of 22 types of crops. At the beginning, standard models (Decision Tree, Random Forest, LightGBM) are tested. The paper then suggests a composite stacking ensemble whereby LightGBM, CatBoost, Random Forest, Multi-Layer Perceptron, and XGBoost are used as base models, and Logistic Regression is used as a metalearner. The validation and training were based on a publicly available crop recommendation dataset. The findings indicate that the hybrid ensemble system achieves greater prediction accuracy—99.55% F1-score, recall, and precision—which outperforms the baseline classifiers. The above results point to promising hybrid ensemble learning as a highly scalable and robust solution to aid agricultural decisions in various real-world scenarios.
DDoS Detection Using ML Algorithm
Ashok Kumar Nanda, S. Harshavardhan Reddy, S. Rahul, V. Karthikeshwar
Lecture Notes in Electrical Engineering, 2026
IoT-Enabled Smart Helmet for Real-Time Safety Monitoring of Underground Mining Workers
E.K. Arulkarthick, V. Pradeep, Rahul S, Vignesh J
Proceedings of 4th International Conference on Electronics and Renewable Systems Icears 2026, 2026
Robust Federated Learning for Non-IID Medical Images with Trust-Guided Aggregation
A. Allan, Sachin Ramesh, Rahul S G, Amirthalakshmi T M
Iccids 2026 9th International Conference on Computational Intelligence in Data Science, 2026
Federated learning (FL) allows training medical professionals cooperatively without exchanging patient information. Nevertheless, the heterogeneity in the real world tends to cause client drift and unjust models. Our suggested FL framework is comprised of confidence-guided FL, dynamic regularization (FedDyn), local batch normalization (FedBN), and label-aware aggregation. Our approach, which is validated on MedMNIST benchmarks and the HAM10000 (high-resolution) dataset, is much more stable and fair than baselines. Through extensive ablation experiments, FedDyn is shown to avoid accuracy decline, and our trust-based aggregation can drop inter-client variance by a factor of more than 50, providing fair diagnosis between different hospitals.
Hybrid Deep Learning-Based EEG BCI for Accurate Mental Intention Recognition
Amirthalakshmi.T.M, Kishore N, Sreyas Sanil Kumar, Rahul S G
Iccids 2026 9th International Conference on Computational Intelligence in Data Science, 2026
Brain-Computer Interface (BCI) systems are changing the manner in which severe motor or speech impaired persons communicate, so that thoughts may be directly converted to actions. This paper describes a cheap, real-time EEG-based BCI that are able to identify three major mental intentions that are yes, no, and help. We have an integrated EEG acquisition system using a mixed deep learning model—Convolutional Neural Networks (CNN) for spatial network features, Recurrent Neural Networks (RNN) for time patterns and a Support Vector Machine (SVM) for final classification. This combination captures both the where and when of brain signals, which deals with the drawbacks of less complex and single-model methods. Experiments demonstrate that our system attains more than 95% classification and is useful in daily life, as it can be run in real time. Combining low costs with high technology but simple to use machine learning approaches, this work shows that there is potential to move towards available and viable assistive communication tools.
Transfer Learning Models for Robust Cardamom Leaf Disease Detection
Dasari Naga Vinod, Rahul S G, Vijay Kumar Gowda B N, P. Dharmesh, A. Mohan, Ch. Siva Krishna Reddy
Proceedings of the 2026 International Conference on AI Driven Smart Systems and Ubiquitous Computing Icauc 2026, 2026
Known in the trade as the "Queen of Spices," cardamom (Elettaria cardamomum) is a very important economic crop for India. But, there is a large-scale issue with leaf diseases like Phyllosticta leaf spot and Blight, which indeed do great damage to the quality and yield of the crop. Presently, for disease detection, farmers do the field work, which is a very time and labor-intensive process is also very prone to human error. This study proposes an AI-based automated system that identifies and classifies cardamom leaf conditions using the MobileNetV2 model and Transfer Learning. The system uses different Deep Learning techniques to find leaf diseases accurately. A custom dataset was prepared using publicly available data from Kaggle containing three types of cardamom leaves: Healthy, Blight, and Phyllosticta. Each image was processed through a specific pipeline consisting of resizing to 224×224 pixels, normalization, and data augmentation techniques like rotation, zooming, flipping, and brightness adjustment. The MobileNetV2 architecture was fine-tuned on ImageNet for this domain. The lower-level features obtained from convolution layers were kept intact by freezing them, and the additional regularization layers, dense and dropout, were added for training efficiency. This was done on Google Colab with the use of TensorFlow and GPU acceleration (2.17+). The model reported average training, validation, and testing accuracies of 96.4%, 94.8%, and 94.2%, respectively. The system was robust and reliable, supported by a confusion matrix and other evaluation metrics, which included precision (93.5%), recall (92.7%), and F1-score (93.1%).
Hybrid Firefly-Genetic Algorithm for Accurate Heart Disease Detection in Wearable Healthcare Systems
P. Nalayini, K.R.Ram Victoria, Rahul S G, S.Padhma Vinodhini, R. Manikandan, Ramesh R
2026 International Conference on Communication Computing and Emerging Technologies Ic3et 2026, 2026
This article presents a new hybrid optimization method- Hybrid Firefly-Genetic Algorithm (HFGA) which is unique to wearable health care systems to provide more accurate predictions of heart disease and at the same time offer minimal computational load. The suggested approach combines the exploration power of the Firefly Algorithm with the powerful capabilities of the Genetic Algorithms in terms of evolution so that the best set of features and classifier parameter tuning will be accomplished. HFGA is a way of balancing local and global search in an adaptive manner to prevent premature convergence and guarantees that there are high quality subsets of the features of multi-sensor wearable data. The wearable architecture is implemented with a lightweight machinelearning classifier optimized by HFGA that allows inference in real time. Benchmark medical data and simulated wearable streams experimental assessment shows higher prediction accuracy, lower features dimensionality and better stability than traditional metaheuristics. The results present HFGA as a potential approach to the next-generation wearable health monitoring and the early cardiac risk evaluation. 96.8% was achieved accuracy by this model.
FPGA-Based CNN-LSTM System for Audio Signal Classification
M.R. Ezilarasan, G. Kavitha, Rahul S G, Hangjun Che, Xiangguang Dai, Yuming Feng, Man-Fai Leung
2026 14th International Conference on Intelligent Control and Information Processing Icicip 2026, 2026
Screen-printed flexible electronic devices: A review
K. Thiyagarajan, S.G. Rahul, T. Adarsh, P.U. Arya, T. Avanish Babu, G.K. Rajini, Debashis Maji
Sensors and Actuators A Physical, 2025
Optimal drive train management of wind turbine using LiDAR-assisted predictive control strategy
G. Srinivasa Sudharsan, N. Karthikeyan, S. Arockia Edwin Xavier, T. Eswaran, S. G. Rahul
Environment Development and Sustainability, 2025
Enhancing DICOM Image Compression Using Sheep Flock Optimization Algorithm with Modified Haar Wavelet Approach
Navaneethan S, D.Kanchana, Rahul S G
Ssrg International Journal of Electrical and Electronics Engineering, 2025
Optimizing Geographical Weather Data Structures Using IoT and Discriminant Models
D. Menaka, Vijay Kumar Gowda B N, Rahul S G
Ssrg International Journal of Civil Engineering, 2025
Explainable Credit Score Risk Analysis: Integrating Outlier Detection and Ensemble Modelling
D Subitha, J C Kavitha, Karun Santosh, S G Rahul
International Conference on Advanced Computing Technologies Icoact 2025, 2025
AI-Integrated Digital Twin for Cloud-Connected Battery Management in Electric Vehicles
R. Manimegalai, P. Vivekanandan, Chandrashekhar Badachi, S. Navaneethan, S. Chellam, S G Rahul
2025 International Conference on Smart and Sustainable Technology Incsst 2025, 2025
Autonomous Vehicle Traffic Flow Optimization Using AI and 5G Communication Networks
Jayant Shekhar, Rama Prabha K. P, S. Prashanth, Umamaheswari K, Rahul S G, K. Gayathri
3rd IEEE International Conference on Device Intelligence Computing and Communication Technologies Dicct 2025, 2025
Sensor Data Modelling for Anomaly Detection in Aquatic Environments
Rahul S G, Kalpana Devi P, N Kirn Kumar, Priscilla Dinkar Moyya, T M Amirthalakshmi, Avinaash Arjun V
Proceedings of International Conference on Modern Sustainable Systems Cmss 2025, 2025
A Machine Learning-Based Smart Aquaponics Framework for Sustainable Basil Cultivation
Rahul S G, Avinaash Arjun V, Kalpana Devi P, T M Amirthalakshmi, Logeswari Panneerselvam, Talari Sofiya Rheema
5th IEEE International Conference on Innovations in Power and Advanced Computing Technologies I Pact 2025, 2025
Ensemble Learning Approaches for Diabetes Prediction: A Performance Analysis
Neelamsetti Kiran Kumar, Priscilla Dinkar Moyya, Rahul S G, Anant Singhal, Rishab Bhatia, Mallika Manish Rajpal
5th IEEE International Conference on Innovations in Power and Advanced Computing Technologies I Pact 2025, 2025
Predicting Crop Yield Using XGBoost and Geospatial Data Fusion in Precision Agriculture
K.Kalaiarasi K. Kalaiarasi, Rahul S G, V.Nivedita V. Nivedita, D.Baskaran D. Baskaran, S.Hema S. Hema, N.Abirami N. Abirami
Proceedings 2025 International Conference on Recent Innovation in Science Engineering and Technology Icriset 2025, 2025
Automated Aquaponics System with AI-Based Plant Health Monitoring for Ocimum Basilicum
Rahul S G, Avinaash Arjun V, Kalpana Devi P, T M Amirthalakshmi, Logeswari Panneerselvam, Talari Sofiya Rheema
2025 International Conference on Next Generation Computing Systems Intelligent System for Sustainable Development Icngcs 2025 Conference Proceedings, 2025
Machine Learning Based Smart Aquaponics System with Integrated Fish and Plant Monitoring
S. Sivasankari, S.G. Rahul, Logeswari Panneerselvam, Talari Sofiya Rheema, Chavala Jahnavi, P. Kalpana Devi
Proceedings International Conference on Next Generation Communication and Information Processing Incip 2025, 2025
Improving Plant Disease Detection Using Super-Resolution Generative Adversarial Networks and Enhanced Dataset Diversity
Pakutharivu P, D. Sasirekha, V. Devaraj, Rahul Sanmugam Gopi
Journal of Advanced Research in Applied Sciences and Engineering Technology, 2024
IOT BASED SMART AND ECONOMIC GREENHOUSE MONITORING AND AUTO-TUNED CONTROL SYSTEM FOR RURAL FARMING
Journal of Theoretical and Applied Information Technology, 2024
Deep Optimized Smart Healthcare System for the Detection of Diabetes and Cardiovascular Ailments
U. Soma Naidu, Rahul S G
2024 IEEE International Conference on Information Technology Electronics and Intelligent Communication Systems Iciteics 2024, 2024
E-waste management in the digital era: A sustainable computing approach
Rajkumar Ramasamy, Rahul Sanmugam Gopi, Rohini Palanisamy
IEEE Potentials, 2024
Artificial Intelligence in Biometric Systems
D. Subitha, S.G. Rahul, Palash Uddin
AI Based Advancements in Biometrics and Its Applications, 2024
Advancing conservation: Internet of Things-driven initiatives for marine animal rescue due to climate changes [Climate Change]
Rahul Sanmugam Gopi, Rajkumar Ramasamy, M. David Honesty Babu
IEEE Potentials, 2024
Fruit Quality Detection Using Machine Vision Techniques
Premanatha G, Alismail M, Arun A, Rahul S, Vignesh D
2nd IEEE International Conference on Iot Communication and Automation Technology Icicat 2024, 2024
Implementation of Fiber Bragg Grating for Dispersion Loss Compensation in Optical Fiber Communication
M. R. Ezilarasan, V. Muralidharan, Kasthuri Devarajan, S.G. Rahul, Guduru Nandhini
2nd International Conference on Sustainable Computing and Smart Systems Icscss 2024 Proceedings, 2024
Detection of Kidney Stone and Estimation of its Size using Image Segmentation Techniques
Shraman Jain, Rajini G. K., Rahul S.G., Rajkumar R., Velmurugan S., M. Jasmine Pemeena priyadarsini
Journal of Advanced Research in Applied Sciences and Engineering Technology, 2024
Design of Transcutaneous Electrical Nerve Stimulator Machine for Chronic Low Back Pain
Priscilla Dinkar Moyya, Katikala Hima Bindu, N Kiran Kumar, S Venkateswarlu Reddy, G Manikanta, Rahul S G
5th International Conference on Circuits Control Communication and Computing I4c 2024, 2024
Monitoring Indoor Mint Crop Conditions for a Controlled Environment Using IoT
Rahul S G, Kavitha P, Hemakumar V S, A. Likhitha, P. Dileep Kumar, P. Manoj Kumar Reddy
2nd International Conference on Sustainable Computing and Smart Systems Icscss 2024 Proceedings, 2024
Condition Monitoring of Greenhouse Farming for Controlled Environment
S G Rahul, R Rajkumar, Rudrakonda Sai Kumar Abburi, B. Trivikram Reddy, Ch. Raja, K. Pavan Teja
2024 3rd International Conference for Advancement in Technology Iconat 2024, 2024
Integrating IoT and Deep Learning for Smart Aquaculture Management in Freshwater Aquariums
Rahul S G, Rajkumar R, Y. Kuswanth Reddy, N. Koushik, V. Srree Manikannta, Subitha D
2nd International Conference on Sustainable Computing and Smart Systems Icscss 2024 Proceedings, 2024
IoT-Based Traffic Control System for Emergency Vehicles
Kavitha P, K. Pavan Teja, Rahul S G, K. Sri Charan, K. Rama Krishna Reddy, V. Sai Charan Reddy
International Conference on Intelligent Algorithms for Computational Intelligence Systems Iacis 2024, 2024
Fenugreek Spinach Growth through Controlled Hydroponics and Real-Time Monitoring
Rahul S G, Rajkumar R, Mukesh Narayana Gadde, B Rupa Sree Reddy, SK.Afrin Sultana, S.Harshavardhan Reddy
2nd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2024, 2024
Predicting Fish Diseases Using Machine Learning Based on Water Quality Parameters
R Rajkumar, S G Rahul, Saketh Reddy Balpunuri, Vishnu Sai Nallagatla, Lokesh Akula, Nandhini
2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
Scrapetalk: Chatbot Conversation with Web Scraped Insights
Sriram G, Rahul S, Adaline Suji R, Priyanka Nallusamy, Nivitha K, Arumuga Arun R
2024 International Conference on Integration of Emerging Technologies for the Digital World Icietdw 2024, 2024
IoT-Enhanced Automatic Child Detection System for Cars
Kavitha P, K. Pavan Teja, Rahul S G, Naga Ramakrishna Chikkam, Deepika Andra, Venkannababu Tanakala
5th International Conference on Electronics and Sustainable Communication Systems Icesc 2024 Proceedings, 2024
Remote Health Prediction System Using Machine Learning
S. Rahul, P. Yakaiah, Bittu Kumar, S. Monika, Dusamulla Sampreeth, Kolupula Sai Kiran
Advancements in Science and Technology for Healthcare Agriculture and Environmental Sustainability A Review of the Latest Research and Innovations Proceedings of the International Analytics Conference Iac 2023, 2024
An Economic IoT-driven Rural Greenhouse Control System for Optimal Plant Growth
S G Rahul, R Rajkumar, P Kavitha, Neelamsetti Kiran Kumar, SiripiReddy Venkateswarlu Reddy, K. Pavan Teja
2024 3rd International Conference for Advancement in Technology Iconat 2024, 2024
Virtual Instrumentation under Supervisory Control for Safe Water Level Monitoring
M. R. Ezilarasan, V. Gnanaprakash, Sreelakshmy R, D. Preethi, Rajesh. G, S.G. Rahul
5th International Conference on Circuits Control Communication and Computing I4c 2024, 2024
Deep Learning Innovations for Improved Plant Leaf Disease Detection in Smart Agriculture
M. Balamurugan, N. Srividhya, G Indhumathi, Vettrivel Arul, S G Rahul S, K. Kalaiarasi
2nd IEEE International Conference on Data Science and Information System Icdsis 2024, 2024
Fidelity-Guided Restoration: Balancing Noise Reduction and Texture Preservation for Enhanced Image Details
V. Kalpana
Communications on Applied Nonlinear Analysis, 2024
An efficient IoT-Artificial Intelligence-based Chronic Kidney Diseases Prediction using Temporal Convolutional Network (TCN) Deep Learning Method in Healthcare System
Rahul Sanmugam Gopi, Tavanam Venkata Rao, Uma Maheswari Sethuramasamy, Jeyasekaran Jeno Jasmine, U. Soma Naidu, Sundararajan Edwin Raja
Journal of Advanced Research in Applied Sciences and Engineering Technology, 2023
Design of Covid19 Disease Detection for Risk Identification using Deep Learning Approach
Rahul Sanmugam Gopi, Lavanya Dhanesh, Mohammad Aljanabi, Tavanam Venkata Rao, Tavanam Venkata Rao, M. Thiruveni, S. Mahalakshmi
Journal of Advanced Research in Applied Sciences and Engineering Technology, 2023
Active power control in horizontal axis wind turbine considering the fatigue structural load parameter using psuedo adaptive- model predictive control scheme
G. Srinivasa Sudharsan, Karthikeyan Natarajan, S.G. Rahul, Anuj Kumar
Sustainable Energy Technologies and Assessments, 2023
Smart structural health monitoring system using IoT and wireless technology
S.G. Rahul, Neelamsetti Kirn Kumar, Rajnikant Kushwaha
Recent Advancement of Iot Devices in Pollution Control and Health Applications, 2023
A Novel Internet of Things Assisted Car Accident Prevention and Alert System using an Intelligent Distance Measurement Sensor
Mohith M, Rahul S, Rohith Kumar S, Satheesh Kumar R
Vitecon 2023 2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies Proceedings, 2023
Solar Powered Wireless Power Transmission System for Electric Vehicles
Rahul S G, G. Srinivasa Sudharsan, Vijay Anand Kandaswamy, Modium Jaswanth Reddy, Gaddipati Sri Harsha, Bijjula Lahari
Proceedings of the 8th International Conference on Communication and Electronics Systems Icces 2023, 2023
Achieving Covertness in the Wireless Mode-based Communication in the IoT Connection with use of THZ Band and AWGN Channel
S. Venkateswarlu Reddy, N Kirn Kumar, Jarapala Siva Naik, Rathaiah Meram, N. Ramesh, Rahul S G
2023 2nd International Conference on Trends in Electrical Electronics and Computer Engineering Teeccon 2023, 2023
Smart Social Distancing Robot for COVID Safety
S. G. Rahul, Velicheti Sravan Kumar, D. Subitha, Seeram Sai Sudheer, Amruthavalli Archakam, M. Nikhileswara Sri Venkat
Lecture Notes in Mechanical Engineering, 2023
Fuzzy Logic-Based Load Frequency Control in an Island Hybrid Power System Model Using Artificial Bee Colony Optimization
Neelamsetti Kirn Kumar, Rahul Sanmugam Gopi, Ramya Kuppusamy, Srete Nikolovski, Yuvaraja Teekaraman, Indragandhi Vairavasundaram, Siripireddy Venkateswarulu
Energies, 2022
Curing Free, Silver Nano Ink Based Inkjet Printed Fabrics for Bio-Medical Applications
Subitha D, Rahul S G, Velmurugan S, Salveru Saiteja
2022 IEEE International Conference on Nanoelectronics Nanophotonics Nanomaterials Nanobioscience and Nanotechnology 5nano 2022, 2022
Virtual Instrumentation System Design for a Secured Chemical Process Industry Automation
S. G. Rahul, R. Chitra, Manasa Madabhushi, M. Kavya, Sraya
Lecture Notes in Mechanical Engineering, 2022
Microwaves in Healthcare Systems for Cancer Detection
R. Chitra, G. Srinivasa Sudharsan, S. G. Rahul, Seeram Sai Sudheer, Archakam Amruthavalli
Lecture Notes in Mechanical Engineering, 2022
Virtual Instrumentation Based Graphical User Interface for Fermentation Bioprocess Monitoring Using LabVIEW
S. G. Rahul, R. Chitra, Vulichi Puneeth Kumar, Palla Hima Sai Abhishek, Boggula Obula Reddy
Lecture Notes in Mechanical Engineering, 2022
Conductive Nanomaterials for Printed and Flexible Electronics Application
K. Thiyagarajan, S.G. Rahul, G.K. Rajini, Debashis Maji, Arunkumar Chandrasekhar
Nanotechnology in Electronics Materials Properties Devices, 2022
Contactless Fog based Handwash Kit for COVID Safety
Rahul S G, Neelamsetti Kiran Kumar, Sri Lekha Y, Velicheti Sravan Kumar, Subitha D, Siripireddy Venkateswarulu
4th International Conference on Circuits Control Communication and Computing I4c 2022, 2022
Design and Development Of Graphical User Interface To Monitor and Control a Bioreactor: Design and Development of GUI for Bioreactor
Rahul S G, Velmurugan S, Subitha D, M. Nikhileswara Sri Venkat, S V N Rupesh, Venkatesh D
8th International Conference on Advanced Computing and Communication Systems Icaccs 2022, 2022
Slotted. Dual Band 27/37 GHz MIMO Antenna for Millimeter Wave Applications
Subitha D, R. Pavan Kumar, Velmurugan S, B.V. Sunil Babu, Rahul S G, S. Vinay Kumar
8th International Conference on Advanced Computing and Communication Systems Icaccs 2022, 2022
Retraction Notice: Smart Access Control System For Covid Safety Smart Access Control System during Covid (2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) DOI: 10.1109/ICACCS54159.2022.9785030)
S G Rahul, D Subitha, S Velmurugan, R Chitra, Avinash Reddy, Grande Nishanth
8th International Conference on Advanced Computing and Communication Systems Icaccs 2022, 2022
Retraction Notice: A Comparative Computational Analysis of VGG16and VGG19 in Prediction of Turmeric plant Disease (2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) DOI: 10.1109/ICACCS54159.2022.9784970)
S Velmurugan, K Ramdinesh Reddy, S G Rahul, S Vardhan, D Subitha, Sri Kamal Vignesh
8th International Conference on Advanced Computing and Communication Systems Icaccs 2022, 2022
SRR Loaded Dual Band Patch Antenna Array For Multi User Communication
Subitha D, Nomula Harshit, Rahul S G, Bollineni Vinay, Velmurugan S, Yarravarapu Pavan
8th International Conference on Advanced Computing and Communication Systems Icaccs 2022, 2022
Smart Access Control System For Covid Safety Smart Access Control System during Covid
S G Rahul, D Subitha, S Velmurugan, R Chitra, Avinash Reddy, Grande Nishanth
8th International Conference on Advanced Computing and Communication Systems Icaccs 2022, 2022
A Comparative Computational Analysis of VGG16and VGG19 in Prediction of Turmeric plant Disease
S Velmurugan, K Ramdinesh Reddy, S G Rahul, S Vardhan, D Subitha, Sri Kamal Vignesh
8th International Conference on Advanced Computing and Communication Systems Icaccs 2022, 2022
Predictive Analysis of Soil Parameters for Solar-Powered Smart Irrigation System
D. Vrishti, B. Samiksha, S. Rahul, P. Jayesh, M. Palak, A. Sheikh
Proceedings 2022 IEEE 4th Global Power Energy and Communication Conference Gpecom 2022, 2022
Design of Microstrip Patch Antenna for Wearable Extravasation Detection Device for Intravenous (IV) Therapy
Velmurugan S, Prabin Nyaupane, Subitha D, Saikiranreddy Sallarapu, Rahul S G, Satyanarayana Kathula
8th International Conference on Advanced Computing and Communication Systems Icaccs 2022, 2022
Enhanced model reference adaptive control scheme for tracking control of magnetic levitation system
Rahul Sanmugam Gopi, Soundarya Srinivasan, Kavitha Panneerselvam, Yuvaraja Teekaraman, Ramya Kuppusamy, Shabana Urooj
Energies, 2021
Model Based Cardiac Control System for the Left Heart Using LabView
S G Rahul, R Chitra, Seeram Sai Sudheer, Palevla Venkata Naga Ravi Teja, Amruthavalli Archakam, Jaswanth Reddy Modium
3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies I Pact 2021, 2021
Analysis of Baroreflex Function in Cardiovascular Variability Model
Chitra R, Rahul S G, Amruthavalli Archakam, Sai Pramitha Meesala, Jaswanth Reddy Modium, Jagadish Kumar Pakalapati
3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies I Pact 2021, 2021
Supervisory Virtual Instrumentation for Secured Chemical Process Plant Monitoring
Rahul S G, Chitra R, A. Eswar Sai, Seeram Sai Sudheer, Amruthavalli Archakam, Avinash Reddy
3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies I Pact 2021, 2021
Development of Virtual Instrumentation System for Industrial Power Quality Analysis
S G Rahul, N. Kirn Kumar, R. Chitra, K. Dinesh Ram, A. Eswar Sai, P. Arshiya Shahina
Proceedings of the 2021 4th International Conference on Computing and Communications Technologies Iccct 2021, 2021
Soldier Strap for Health Monitoring and Tracking A Proposed Solution
Rahul S G, Rajnikant Kushwaha, Sayantan Bhattacharjee, Agniv Aditya, K. Somasekhar Reddy, Durri Shahwar
3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies I Pact 2021, 2021
Indium Tin Oxide Based Flexible Temperature Sensor for Human Body Temperature Monitoring
Thiyagarajan. K, S.G. Rahul, G.K. Rajini, Debashis Maji
Proceedings of 2020 3rd International Conference on Advances in Electronics Computers and Communications Icaecc 2020, 2020
Fundamentals and review on material science, control theory and parametric inter-dependencies during friction stir welding of aluminium metal matrix composites
Rahul S.G., Sharmila A.
World Journal of Engineering, 2019
Temperature based spindle speed controller during friction stir welding of aluminium metal matrix composites
Rahul SG, Sharmila A.
World Journal of Engineering, 2019
System identification based Plant Model Estimation of Friction Stir Welding Process for joining Aluminium Metal Matrix Composites
S.G. Rahul, A. Sharmila, P. Kavitha
2019 Innovations in Power and Advanced Computing Technologies I Pact 2019, 2019
Weld efficiency analysis using confusion Matrix for Aluminium Metal Matrix Composites joined by Friction Stir Welding
S. G Rahul, A Sharmila
Journal of Computational and Theoretical Nanoscience, 2019
Solar powered multi-controlled smart wheelchair for disabled: Development and features
A. Sharmila, Ankur Saini, Shubham Choudhary, T. Yuvaraja, S. G. Rahul
Journal of Computational and Theoretical Nanoscience, 2019
Adaptive controller to minimize position disturbances of tool pin while joining aluminium metal matrix composites by friction stir welding
International Journal of Mechanical Engineering and Technology, 2018
Model reference adaptive controller for enhancing depth of penetration and bead width during Cold Metal Transfer joining process
S.G. Rahul, G. Dhivyasri, P. Kavitha, S. Arungalai Vendan, K.A. Ramesh Kumar, Akhil Garg, Liang Gao
Robotics and Computer Integrated Manufacturing, 2018
Genetic algorithm optimization of process parameters for magnetic pulse welded copper–stainless steel tubular joints
S. G Rahul, P Kavitha
Journal of Computational and Theoretical Nanoscience, 2018
Model reference adaptive control scheme for enhancing bead width and depth of penetration during cold metal transfer process
S G Rahul, G Dhivyasri, P Kavitha, S Arungalai Vendan
Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy Exploring Energy Solutions for an Intelligent Power Grid Tap Energy 2017, 2018
Dynamic control of welding current and welding time to investigate ultimate tensile strength of miab welded T11 tubes
G. Dhivyasri, S.G. Rahul, P. Kavitha, S. Arungalai Vendan, K.A. Ramesh Kumar, Liang Gao, Akhil Garg
Journal of Manufacturing Processes, 2018
Interdisciplinary treatment to arc welding power sources
S. Arungalai Vendan, Liang Gao, Akhil Garg, P. Kavitha, G. Dhivyasri, Rahul SG
Interdisciplinary Treatment to Arc Welding Power Sources, 2018
Prediction of electricity load using artificial neural network for technology tower block of VIT university
International Journal of Applied Engineering Research, 2017
Advanced power demand controller and billing system using GSM
I. Monah Pradeep, S. G. Rahul
Advances in Intelligent Systems and Computing, 2016

Rahul S G

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