PRASANTH

Scopus Publications

Bayesian-tuned ResNet-50 framework for enhanced detection of large-cell lung carcinoma
Phaneendra Varma Ch, Prasanth Aruchamy
Biomedical Signal Processing and Control, 2026
Integrating AI and Multimodal Data for Enhancing Cancer Prediction
Kanakaprabha. S, A. Prasanth
Proceedings of the 4th International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2026, 2026
Digital Twin (DT) technology, which provides dynamic, real-time virtual representations of patients and healthcare systems, is proving a major advance in clinical practice and medical research. It is crucial because it makes healthcare more accurate, personalized, and predictive, permitting doctors to predict the development of diseases and enhance treatment results. The proposed study introduces and compares three predictive frameworks AI-Only Model, Physics-Based Model, and Hybrid AI-DT Model to evaluate clinical decision accuracy and system performance. Based on experimental results, the Hybrid AI-DT Model outperforms the other two models by successfully integrating physiological simulations with data-driven intelligence, achieving an accuracy level of 93.5 %. This integrated method improves clinical prediction reliability, model interpretability, and diagnostic precision. The study influences find that the Hybrid AI-DT framework offers an effective foundation for digital healthcare systems of the future. To be able to provide scalable, safe, and intelligent Digital Twin ecosystems for practical use in medicine, future research will focus on large-scale validation, federated learning for privacy-preserving data sharing, and cloud-edge computing integration.
A Lightweight Image-Processing Pipeline for Parkinson's Disease Identification using Enhanced MRI and GLCM Features
Thanam. A, Prasanth Aruchamy
Proceedings of 6th International Conference on Expert Clouds and Applications Icoeca 2026, 2026
In The usefulness of deep learning, hybrid CNN models, and feature-fusion algorithms for medical image analysis and Parkinson's disease (PD) detection has been shown in recent publications. However, these methods frequently need big annotated datasets and considerable processing power. On the other hand, utilizing an open-access Parkinson's MRI dataset, this paper evaluates a lightweight image-processing pipeline for PD detection using improved brain MRI and Gray-Level Co-occurrence Matrix (GLCM) features. Increase structural clarity, the suggested preprocessing step uses edge preservation, contrast enhancement, and noise reduction. According to hypothetical data, PD images show greater distortion with a larger mean squared error (MSE = 2000–2600) than normal cases (1500–2300), whereas normal MRI images obtain higher structural similarity (SSIM = 0.40–0.50) compared to PD images (0.30–0.45). Moreover, GLCM contrast values are much lower in PD MRI (77.94) than in normal MRI (118.56), propose neurodegeneration-related texture degradation. These quantitative findings show that the suggested lightweight pipeline provides a computationally efficient substitute for deep learning-based diagnostic frameworks by successfully capturing discriminative structural and textural changes in PD MRI.
Preface
Studies in Computational Intelligence, 2026
Real Time Agriculture Monitoring and Communication System using Video Streams and IoT Networking
A. Prasanth, E. Rajini, E. Meghana
Proceedings of 6th International Conference on Expert Clouds and Applications Icoeca 2026, 2026
The need for optimal resource consumption and real-time monitoring in the field has significantly led to the growth of smart agriculture technologies. The Internet of Things (IoT) provides an environmental parameter to monitor and support the concept of data-driven agricultural-related decisions. This paper describes the design of a real-time agriculture monitoring and communication system. It combines environmental parameter monitoring through IoT technology and data processing via cloud technology to emphasize the concept of precision agriculture. The proposed design uses the concept of sensor technology to monitor the critical parameters of the environment such as the moisture content, the temperature, and the humidity levels. The parameters are then sent to the cloud platform for real-time monitoring. In addition to the sensor-based monitoring, the system allows for real-time observation of the field conditions for enhancing the situational awareness that helps in making timely decisions.
The Future of Journalism in an AI World
Lekha Kannappan, Geetha Anbazhagan, Aruchamy Prasanth
Studies in Computational Intelligence, 2026
Intelligent Farm: An Automated Farming Technology Deploying Reinforcement Learning for Agroforestry Conservation Agriculture
K. Kalaivanan, V. Bhanumathi, Prasanth Aruchamy
Climate Smart Agriculture, 2026
Cloud computing and artificial intelligence (AI) are emerging technologies in all real-time applications. The automation of detecting and predicting water irrigation, pest control, and fertilizer usage is still crucial in agroforestry. The Internet of Things (IoT) is the most promising tool in implementing intelligent farming and improving land management. The goal of agroforestry is to preserve the environment and natural resources. Reinforcement learning (RL) is used for prediction and classification in smart agriculture; it considers how crop growth, yield, soil, environmental characteristics, climate, and watering of agricultural fields can change over time and space. The implementation of RL in agroforestry has potential in several real-time smart agricultural applications. This chapter explores the implementation of IoT-based intelligent farming, focusing on various decision-making systems. The cloud computing system in IoT provides extensive services in a centralized manner by sharing computation mechanisms, memory, and costs. Furthermore, it examines the requirement of placing computing techniques near end devices due to the rapid growth of IoT devices in real-time applications. It examines various AI and reinforcement learning techniques utilized to facilitate immediate smart decisions. This chapter also discusses the limitations, challenges, applications, and future prospects of deploying AI and reinforcement learning in intelligent farming.
Seizing Opportunities in Integration of Reinforcement Learning with the Internet of Things for High-Tech Greenhouse and Vertical Farms
N. Sathish, V. Yokesh, Prasanth Aruchamy, Pham Chien Thang
Climate Smart Agriculture, 2026
Two prominent models for enhancing vertical farming and smart greenhouses are reinforcement learning (RL) and the Internet of Things (IoT). This section explores how various sources of man-made IoT systems can be combined with RL to automate and optimize processes applied to sustainable agriculture systems. Reinforcement learning is known for its adaptive learning capabilities, which are important in the complex environments of a greenhouse or vertical farm. It can ensure speedy adjustments to optimal growth by its responsive control over several conditions. Additionally, RL can quickly adapt to the highlighted growth conditions and manage resources accordingly. Utilizing IoT networks with high-accuracy sensors for continuous observation to dynamically adapt RL weather prediction algorithms to environmental changes in light, humidity, temperature, and soil quality. This combination of technologies paves the way for precision farming, promoting higher performance and lowering price points, and a platform for greater optimization of the entire value chain. This chapter uses RL and IoT to address modern agricultural problems like personnel shortages, climate change, and organic farming. It also handles data management, computational demand, and system integration issues while extending those technologies.
Augmented Reality-/Virtual Reality-Assisted Deep Reinforcement Learning-Based Model toward Management of Soil Microbes on Organic Farms
G. Amuthavalli, U. Palani, G. Vallathan, Prasanth Aruchamy
Climate Smart Agriculture, 2026
The potential implementation of sustainable agriculture under climatic shocks necessitates adopting a holistic organic farming approach, in which the practice of organic soil amendments with technological advancements further reassures the sustainability and food security despite environmental challenges. In the context of climate-smart agriculture, optimal organic farming strategies are achieved by promoting a thriving ecosystem of soil microbes, for which the artificial intelligence manages microbial activity and dependent factors. Ecotoxicological risks due to urbanization are a major threat to soil microbes and affect soil health, impacting crop yield. In this chapter, a deep reinforcement learning-based model with the assistance of augmented reality/virtual reality is discussed to manage soil microbes in organic farming, which effectively assesses ecotoxicological risks in the soil and provides the best practice of climate-smart agriculture to achieve sustainability.
Dual-Stream Context-Aware GANs for Next-Generation Recommendation Systems
Vankayala Chethan Prakash, Raveendranadh Bokka, Aruchamy Prasanth, Mariya Ouaissa
Next Generation Recommendation Systems A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits, 2026
Climate Smart Agriculture
Climate Smart Agriculture, 2026
Deep learning for autism spectrum disorder
P. Padmakumari, A. Prasanth, Pham Chien Thang, S.L. Haran Perumal, S. Vidivelli
Deep Learning Applications in Neuroinformatics Advances Methods and Perspectives, 2026
A reliable character recognition model based on hybrid feed forward back-propagation neural network and adaptive cuckoo search optimization algorithm
L G X Agnel Livingston, D Judson, Prasanth Aruchamy
Sadhana Academy Proceedings in Engineering Sciences, 2025
A Reliable speech emotion recognition framework for multi-regional languages using optimized light gradient boosting machine classifier
Subramanian Radhika, Aruchamy Prasanth, K.K. Devi Sowndarya
Biomedical Signal Processing and Control, 2025
Enhancing security of medical images using code-based intermittent encryption and convolutional neural network
Prasanth Aruchamy, M Sundarrajan, Mani Deepak Choudhry, Akshya Jothi
Computer Journal, 2025
An energy-aware link fault detection and recovery scheme for QoS enhancement in Internet of Things-enabled wireless sensor network
Prasanth Aruchamy, Lavina Balraj, K.K. Devi Sowndarya
Computers and Electrical Engineering, 2025
Artificial Intelligence-Enabled Fully Echoed Q-Routing and Adaptive Directional Medium Access Control Protocol for Flying Ad-Hoc Networks
Prajith Prabhakar, V. Yokesh, Prasanth Aruchamy, Sathish Nanthakumar
International Journal of Communication Systems, 2025
Investigating the Performance Optimization of Three-Quantum-Well High Electron Mobility Transistor Device: Analyzing Operational Characteristics and Gate Voltage Influence
Kuntavai Thangavel, Prasanth Aruchamy, Prasad Joghee, Chandrasekar Palanisamy
Physica Status Solidi A Applications and Materials Science, 2025
Blockchain technology-based biometric system
Mariya Ouaissa, Mariyam Ouaissa, A. Prasanth
Artificial Intelligence for Blockchain and Cybersecurity Powered Iot Applications, 2025
Optimized Hybrid Model Integrating CNN and Image Processing for Lung Cancer
Phaneendra Varma Chintalapati, A. Prasanth
2025 5th International Conference on Emerging Research in Electronics Computer Science and Technology Icerect 2025, 2025
Digital twins in Oncology: AI-based Multimodal Data Framework for Cancer Patient Care
Kanakaprabha. S, A. Prasanth
Proceedings of International Conference on Sustainable Communication Networks and Application Icscn 2025, 2025
Cognitive Intelligence and Distributed Computing Systems Applications in Smart Farming
Sangeetha Radhakrishnan, A. Prasanth
Computer Vision in Smart Agriculture and Crop Management, 2025
A novel approach for heart disease prediction using hybridized AITH2O algorithm and SANFIS classifier
Jayachitra Sekar, Prasanth Aruchamy
Network Computation in Neural Systems, 2025
Smart Dust Technology for Monitoring and Control Systems in Smart Agriculture and Crop Surveillance Systems
M. Yogeshwari, A. Prasanth
Computer Vision in Smart Agriculture and Crop Management, 2025
Emerging technologies and tools for knowledge gathering in automated driving
V. Yokesh, N. Sathish, A. Prasanth
Knowledge Graph Based Methods for Automated Driving, 2025
An Automated Deep Learning-based VAR for Enhancing Referee Decision-Making in Football
Hamza Abu Zaken, A. Prasanth, Mohamad Ali Jahjah
3rd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2025, 2025
Remote Assessments and Aerial Imaging Using UAV for Disaster Management and Precision Agriculture with Immediate Response – A Case Study
Kalaivanan Karunanithy, Bhanumathi Velusamy, A. Prasanth
Drones for Transportation Logistics and Disaster Management, 2025
Flexible electronics in the era of artificial intelligence toward future implanted body sensor networks
K. Kalaivanan, V. Bhanumathi, Prasanth Aruchamy
Green Flexible Electronics for Sustainable Healthcare, 2025
A Deep Learning-Based Workload Forecasting Model in Cloud Data Centers
A. Prasanth, K. Nikhil Babu, P. Rahul, B. Vikranth Reddy
2025 International Conference on Computing Technologies Icoct 2025, 2025
Security and privacy aspects of Internet of Bio-Nano Things (confidentiality, integrity, availability, authentication)
N. Sathish, V. Yokesh, Aruchamy Prasanth, Pham Chien Thang
Future of Internet of Bio Nano Things in Personalized Healthcare Applications and Challenges, 2025
Computer Vision Systems in Livestock Farming, Poultry Farming, and Fish Farming: Applications, Use Cases, and Research Directions
S. Balasubramaniam, C. Vijesh Joe, A. Prasanth, K. Satheesh Kumar
Computer Vision in Smart Agriculture and Crop Management, 2025
Future of Internet of Bio-Nano Things in Personalized Healthcare
Future of Internet of Bio Nano Things in Personalized Healthcare Applications and Challenges, 2025
BLOCKCHAIN-BASED DIGITAL TWINS: Research Trends and Challenges
Blockchain Based Digital Twins Research Trends and Challenges, 2025
Artificial Intelligence-Based Hyperautomation for Smart Factory Process Automation
S. Balasubramaniam, A. Prasanth, K. Satheesh Kumar, Seifedine Kadry
Hyperautomation for Next Generation Industries, 2025
Anticipated future developments and integration of advanced computing framework for reliable Internet of Bio-Nano Things
Kanakaprabha Selvakumari, Prasanth Aruchamy, Balasubramaniam S., Mariya Ouaissa
Future of Internet of Bio Nano Things in Personalized Healthcare Applications and Challenges, 2025
Cutting-edge technology: a new standard for green flexible electronics in healthcare
A. Sonya, Prasanth Aruchamy, G. Dhanalakshmi, Lania Chaari
Green Flexible Electronics for Sustainable Healthcare, 2025
Applications of Hyperautomation in Finance and Banking Industries
S. Arunarani, A. Prasanth, N. Pushpalatha, Mariya Ouaissa
Hyperautomation for Next Generation Industries, 2025
NLP-Driven Detection of Cyber-Bullying Comments in Instagram Social Network
C. Valarmathi, Anitha Velu, A. Prasanth, Rajesh Kumar Dhanaraj
Proceedings of 2025 4th International Conference on Computing and Information Technology Iccit 2025, 2025
Demystifying nanobiosensors, nanostimulators, and engineered biosensor devices
N. Sathish, S. Senthil Rajan, Aruchamy Prasanth, Sekar Jayachitra
Future of Internet of Bio Nano Things in Personalized Healthcare Applications and Challenges, 2025
An Integrated Approach Based on Fuzzy Logic and Machine Learning Techniques for Reliable Wine Quality Prediction
Narinder Kaur, Gaganjot Kaur, Prasanth Aruchamy, Neelu Chaudhary
Procedia Computer Science, 2025
Drone-Based Application of Warehouse Logistics – A Case Study
Sangeetha Radhakrishnan, A. Prasanth, K.K. Devi Sowndarya, Ahmed A. Elngar
Drones for Transportation Logistics and Disaster Management, 2025
Advanced Technologies for Federated Learning in Smart Cities and Its Use Cases
G Saranya, G Indhumathi, A. Prasanth, P. Murugapandiyan
Applications of Federated Learning in Technological Advancements Use Cases and Applications, 2025
Use Cases and Scenarios for Federated Learning Adoption in IoT
Anitha Velu, Raghu Ramamoorthy, A. Prasanth, Ahmed A. Elngar
Applications of Federated Learning in Technological Advancements Use Cases and Applications, 2025
Digital Twins for Hyperautomation for Next Generation
V. Divya, A. Prasanth, K. K. Devi Sowndarya, Chien Thang Pham
Hyperautomation for Next Generation Industries, 2025
Design of Smart System for Mitigating Wild Animal Intrusion in Agricultural Farms Using IoT and Deep Learning
A. Prasanth, M. S. Arunkumar, B.Senthil Kumaran, S. Deepa
2025 3rd International Conference on Communication Security and Artificial Intelligence Iccsai 2025, 2025
Factors Driving Gen Z Interest in the Metaverse
Ta Thi Nguyet Trang, Pham Chien Thang, Ngo Ngoc Linh, A. Prasanth
Lecture Notes in Networks and Systems, 2025
Next-generation terahertz communication protocols for Internet of Bio-Nano Things and future networking paradigms
Maheswari Ramachandran, T. Prathiba, Sekar Jayachitra, Aruchamy Prasanth
Future of Internet of Bio Nano Things in Personalized Healthcare Applications and Challenges, 2025
K-means Pelican Optimization Algorithm based Search Space Reduction for Remote Sensing Image Retrieval
W. T. Chembian, G. Senthilkumar, A. Prasanth, R. Subash
Journal of the Indian Society of Remote Sensing, 2025
Safety regulations and standards for automated driving
A. Prasanth, N. Sathish, V. Yokesh, H. Shine
Knowledge Graph Based Methods for Automated Driving, 2025
Emerging graphical data management methodologies for automated driving
Anbazhagan Geetha, S. Usha, A. Prasanth, Ahmed Elngar
Knowledge Graph Based Methods for Automated Driving, 2025
A run-through of flexible electronics: challenges and opportunities
Anitha Velu, Prasanth Aruchamy, Raghu Ramamoorthy, Rajesh Kumar Dhanaraj
Green Flexible Electronics for Sustainable Healthcare, 2025
A Future Cyber Security for Secured Smart Home Applications Using the Internet of Things and Blockchain Technology
Multimedia Security Tools Techniques and Applications, 2025
Green Flexible Electronics for Sustainable Healthcare
Green Flexible Electronics for Sustainable Healthcare, 2025
Applications of Federated Learning in Technological Advancements: Use Cases and Applications
S. Jayachitra, A. Prasanth, Rajesh Kumar Dhanaraj, Balasubramaniam S, Danilo Pelusi
Applications of Federated Learning in Technological Advancements Use Cases and Applications, 2025
Drones for Transportation Logistics and Disaster Management
Drones for Transportation Logistics and Disaster Management, 2025
Modeling and Simulation for Digital Twins of Blockchain Technology
Blockchain Based Digital Twins Research Trends and Challenges, 2025
LLM pretraining methods
Anitha Velu, Raghu Ramamoorthy, S. M. Manasa, A. Prasanth
Generative AI and Llms Natural Language Processing and Generative Adversarial Networks, 2024
Preface
Generative AI and Llms Natural Language Processing and Generative Adversarial Networks, 2024
Generative AI and LLMs: Natural language processing and generative adversarial networks
Balasubramaniam, Saumiya 1979-, Kadry, Seifedine 1977-, Prasanth, A., Kumar Dhanaraj, Rajesh
Generative AI and Llms Natural Language Processing and Generative Adversarial Networks, 2024
An Effective Speech Emotion Recognition Model for Multi-Regional Languages Using Threshold-based Feature Selection Algorithm
Radhika Subramanian, Prasanth Aruchamy
Circuits Systems and Signal Processing, 2024
An energy-aware software fault detection system based on hierarchical rule approach for enhancing quality of service in internet of things-enabled wireless sensor network
Lavina Balraj, Aruchamy Prasanth
Transactions on Emerging Telecommunications Technologies, 2024
A smart heart disease prediction system using iot and adaptive deep convolution neural network
S. Arthy, A. Prasanth
Aip Conference Proceedings, 2024
Open Research Challenges in Wireless Technologies Case Study
M. Yogeshwari, A. Prasanth
Wireless Communication Technologies Roles Responsibilities and Impact of Iot 6g and Blockchain Practices, 2024
Augmented machine learning towards smart self-powered sensing systems
A. Bharathi, U. Hemamalini, A. Prasanth
Self Powered Sensors A Path to Wearable Electronics, 2024
Automated Detection of Oropharyngeal Carcinoma Using Super-Resolution Generative Adversarial Network and Convolutional Neural Network
A. Prasanth, B. Ragavi, S. Jayachitra, T. Kuntavai
2024 International Conference on Smart Electronics and Communication Systems Isense 2024, 2024
Optimizing Vehicle-to-Vehicle (V2V) Communication Efficiency with KNN-based Dynamic Time slot Allocation
N Devakirubai, Anitha Velu, D Sumathi, A Prasanth
Proceedings 2024 International Conference on Social and Sustainable Innovations in Technology and Engineering Sasi ITE 2024, 2024
Need for 3D-Biometric System with AI Based Immersive Technology
M. Abinaya, G. Vadivu, A. Prasanth, A. Hamidoglu
AI Based Advancements in Biometrics and Its Applications, 2024
Issues and Challenges in Traditional Biometric Systems
V. Yokesh, N. Sathish, A. Prasanth, Arfat Ahmad Khan
AI Based Advancements in Biometrics and Its Applications, 2024
Convergence of IoMT and Blockchain for Emerging Personalized Healthcare System: Challenges and Use Cases
Nguyen Tien Dung, Pham Chien Thang, Ta Thi Nguyet Trang, A. Prasanth
Technological Advancement in Internet of Medical Things and Blockchain for Personalized Healthcare Applications and Use Cases, 2024
Transfer Function Based Feature Selection Using Harris Hawk Optimization for Biomedical Applications
S. Jayachitra, A. Prasanth, Prasannakiruba G S, Srichandana Abbineni
2024 International Conference on Smart Electronics and Communication Systems Isense 2024, 2024
Digital Twins in Flexible Industrial Production and Smart Manufacturing: Case Study on Intelligent Logistics and Supply Chain Management
S. Jeyalakshmi, A. Prasanth, M. Yogeshwari, Ahmed A. Elngar
Digital Twins in Industrial Production and Smart Manufacturing an Understanding of Principles Enhancers and Obstacles, 2024
Self-powered wireless solution towards the smart city: Use cases and its applications
A. Rohini, S. Sridevi, A. Prasanth, K.M. Monica
Self Powered Sensors A Path to Wearable Electronics, 2024
A Lightweight Blockchain Scheme for Secure Data Communication in Internet of Things-enabled Wireless Sensor Network
Lavina Balraj, A. Prasanth, K.K. Devi Sowndarya, T. Kuntavai
International Conference on Smart Systems for Applications in Electrical Sciences Icsses 2024, 2024
Medical Image Analysis Based on Deep Learning Approach for Early Diagnosis of Diseases
S. Balasubramaniam, A. Prasanth, K. Satheesh Kumar, V. Kavitha
Deep Learning for Smart Healthcare Trends Challenges and Applications, 2024
Preface
AI Based Advancements in Biometrics and Its Applications, 2024
Machine learning based models for implementing digital twins in healthcare industry
S. Balasubramaniam, S. Sumina, K. Satheesh Kumar, A. Prasanth
Metaverse Technologies in Healthcare, 2024
AI Based Advancements in Biometrics and its Applications
Balasubramaniam S, Seifedine Kadry, A. Prasanth, Rajesh Kumar Dhanaraj
AI Based Advancements in Biometrics and Its Applications, 2024
Access Control Using AI Based Biometric Systems: Case Study
S. Aathilakshmi, A. Prasanth, K.K. Devi Sowndarya, Pham Chien Thang
AI Based Advancements in Biometrics and Its Applications, 2024
Design of Cost-Effective Automated CPAP with LabView for Sleep Apnea Patient
A. Prasanth, B. Ragavi, T. Kuntavai, M. Sudha, K. K. Devi Sowndarya
2nd IEEE International Conference on Recent Advances in Information Technology for Sustainable Development Icrais 2024 Proceedings, 2024
Classifying and Predicting Covid-19 during pregnancy using RNN and ML Techniques
S.V. Divya, P. Venkadesh, K.V. Shiny, S.Ninisha Nels, A. Prasanth
Proceedings 2024 International Conference on Social and Sustainable Innovations in Technology and Engineering Sasi ITE 2024, 2024
Technological Advancement in Internet of Medical Things and Blockchain for Personalized Healthcare: Applications and Use Cases
A Prasanth, Lakshmi D, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Sherimon P C
Technological Advancement in Internet of Medical Things and Blockchain for Personalized Healthcare Applications and Use Cases, 2024
Digital Transformation in the Pharmaceutical and Biotech Industry: Challenges and Research Directions
S. Subha, M. Shanmugathai, A. Prasanth, S. Sree Varagi, V. Dhanashree
Digital Twins in Industrial Production and Smart Manufacturing an Understanding of Principles Enhancers and Obstacles, 2024
Deep Learning in Innovative Product Management: Harnessing AI for Disruption Navigation and Creativity Enhancement
G. Chandramowleeswaran, A. Prasanth, Gafurov Abduvoitjon Khuseynovich, Amarjeet Kumar Ghosh, P.Chandrakala, Priyameet Kaur Keer
3rd International Conference on Advances in Computing Communication and Materials Icaccm 2024, 2024
An artificial intelligence approach for energy-aware intrusion detection and secure routing in internet of things-enabled wireless sensor networks
Prasanth Aruchamy, Sabeena Gnanaselvi, Devi Sowndarya, Pushpalatha Naveenkumar
Concurrency and Computation Practice and Experience, 2023
Microclimate monitoring system for irrigation water optimization using IoT
Jasmine Gnana Malar A, Tina Elizabeth Mathew, Kumar S. N, Akhil Sabu, Anline Rejula M, Sudhakar Sengan, Sathiamoorthy J, Prasanth A
Measurement Sensors, 2023
Enterprise data
N. Pushpalatha, Sudha Mohanram, S. Sivaranjani, A. Prasanth
Data Fabric Architectures Web Driven Applications, 2023
A hybrid location-dependent ultra convolutional neural network-based vehicle number plate recognition approach for intelligent transportation systems
Sathya Ramasamy, Ananthi Selvarajan, Vaidehi Kaliyaperumal, Prasanth Aruchamy
Concurrency and Computation Practice and Experience, 2023
A hybrid ANFIS reptile optimization algorithm for energy-efficient inter-cluster routing in internet of things-enabled wireless sensor networks
P. Paruthi Ilam Vazhuthi, A. Prasanth, S. P. Manikandan, K. K. Devi Sowndarya
Peer to Peer Networking and Applications, 2023
Self-diagnosis platform via IOT-based privacy preserving medical data
G. Muneeswari, S. Sajithra Varun, Ramakrishna Hegde, S. Sharon Priya, P. Josephin Shermila, A. Prasanth
Measurement Sensors, 2023
A Survey of Human Emotion Recognition Using Speech Signals: Current Trends and Future Perspectives
Radhika Subramanian, Prasanth Aruchamy
Lecture Notes in Networks and Systems, 2023
A Novel Adaptive Unclonable Utility Model for Secure Communication in Internet of Things Environment
14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
Optimization Enabled Deep Learning-Based DDoS Attack Detection in Cloud Computing
S. Balasubramaniam, C. Vijesh Joe, T. A. Sivakumar, A. Prasanth, K. Satheesh Kumar, V. Kavitha, Rajesh Kumar Dhanaraj
International Journal of Intelligent Systems, 2023
An energy-efficient auto clustering framework for enlarging quality of service in Internet of Things-enabled wireless sensor networks using fuzzy logic system
Paruthi Ilam Vazhuthi Padmanaban, Manikandan Shanmugaperumal Periasamy, Prasanth Aruchamy
Concurrency and Computation Practice and Experience, 2022
An energy-efficient blockchain approach for secure communication in IoT-enabled electric vehicles
Kosur Bojji Raju Bhaskar, Aruchamy Prasanth, Paramasivan Saranya
International Journal of Communication Systems, 2022
Security analysis of hybrid one time password generation algorithm for IoT data
R. Mary Joshitta Shantha, K. Mahender, A. Jothi Mary Jenifer, A. Prasanth
Aip Conference Proceedings, 2022
An efficient clinical support system for heart disease prediction using TANFIS classifier
Jayachitra Sekar, Prasanth Aruchamy, Haleem Sulaima Lebbe Abdul, Amin Salih Mohammed, Shaik Khamuruddeen
Computational Intelligence, 2022
Hierarchical-Based Binary Moth Flame Optimization for Feature Extraction in Biomedical Application
S. Jayachitra, A. Prasanth, Shaik Mohammad Rafi, S. Zulaikha Beevi
Communications in Computer and Information Science, 2022
Systematic View and Impact of Artificial Intelligence in Smart Healthcare Systems, Principles, Challenges and Applications
M. Kavitha, S. Roobini, A. Prasanth, M. Sujaritha
Machine Learning and Artificial Intelligence in Healthcare Systems Tools and Techniques, 2022
CMOS Implementation of Multivoltage GPIO Driver
Praveen Kumar S, Prasanth A, Sharon Janefor K, Jaspar Vinitha Sundari T
3rd International Conference on Electronics and Sustainable Communication Systems Icesc 2022 Proceedings, 2022
Multimedia Privacy, Security, and Protection within the Blockchain: A Review
Pham Chien Thang, Ta Thi Nguyet Trang, Bui Trong Tai, A. Prasanth
Proceedings of 5th International Conference on Contemporary Computing and Informatics Ic3i 2022, 2022
Introduction to Cognitive Computing
M. Nalini, A. Prasanth, Arunkumar Gopu, D. Lakshmi
Cognitive Computing for Internet of Medical Things, 2022
Cognitive Computing for Internet of Medical Things
A Prasanth, Lakshmi D, Rajesh Kumar Dhanaraj, Sherimon P C, Balamurugan Balusamy
Cognitive Computing for Internet of Medical Things, 2022
A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications
S. Lavanya, A. Prasanth, S. Jayachitra, A. Shenbagarajan
Measurement Journal of the International Measurement Confederation, 2021
Multi-Feature Analysis for Automated Brain Stroke Classification Using Weighted Gaussian Naïve Bayes Classifier
S. Jayachitra, A. Prasanth
Journal of Circuits Systems and Computers, 2021
Certain Investigations on Energy-Efficient Fault Detection and Recovery Management in Underwater Wireless Sensor Networks
A. Prasanth
Journal of Circuits Systems and Computers, 2021
Smart Covid-Assist Bot using Image Processing
A. Prasanth, E. Saran Karthik, S. Sasikala
2021 International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2021, 2021
RETRACTED:An effective motion object detection using adaptive background modeling mechanism in video surveillance system
SivaNagiReddy Kalli, T. Suresh, A. Prasanth, T. Muthumanickam, K. Mohanram
Journal of Intelligent and Fuzzy Systems, 2021
A novel multi-objective optimization strategy for enhancing quality of service in IoT-enabled WSN applications
A. Prasanth, S. Jayachitra
Peer to Peer Networking and Applications, 2020
Implementation of Efficient Intra- and Inter-Zone Routing for Extending Network Consistency in Wireless Sensor Networks
A. Prasanth, S. Pavalarajan
Journal of Circuits Systems and Computers, 2020
Zone-based sink mobility in wireless sensor networks
Prasanth A., Pavalarajan S.
Sensor Review, 2019
Particle swarm optimization algorithm based zone head selection in wireless sensor networks
International Journal of Scientific and Technology Research, 2019
Sink mobility analysis in wireless sensor networks
Journal of Advanced Research in Dynamical and Control Systems, 2017
Zone based gateway patrolling in Wireless Sensor Networks
A. Prasanth, P. Ganeshkumar
Icetech 2015 2015 IEEE International Conference on Engineering and Technology, 2015
Resource aware reliable transport layer protocol for wireless sensor network
P. Ganeshkumar, A. Vincent Antony Kumar, A. Prasanth
Iciiecs 2015 2015 IEEE International Conference on Innovations in Information Embedded and Communication Systems, 2015
Enhancing the network lifetime using energy based gateway patrolling in wireless sensor networks
International Journal of Applied Engineering Research, 2015

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