Enhanced Dental Disease Detection with YOLOv8: A Deep Learning Approach Naveen S M B, Vidhyaasaravan S, Thamu P, R. KrishnaveniA.P, Prakash N Proceedings of 3rd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2025, 2025 The study's objective is to introduce an advanced caries detection system uses deep learning methods to evaluate panoramic dental X-ray images. The YOLOv8 framework is customized to improve detection accuracy through structural modifications in the backbone, neck, and head. Preprocessing techniques are employed to enhance detection efficiency, and the dataset, meticulously annotated by dental professionals, undergoes augmentation with random flipping and rotation to improve generalization. Precision, recall, and mean Average Precision (mAP) are used to evaluate the effectiveness of the system. Results demonstrate a notable enhancement in caries detection accuracy compared to conventional approaches. Furthermore, a confusion matrix analysis is conducted to evaluate model predictions and identify misclassification patterns.
Innovative Approach of FinFET Integration for Enhanced Arithmetic and Logic Processing Functionality and Efficiency Lalithamani.V, N Prakash, Srimathi.S, Sanjeev.A, Thiruchselvam G Proceedings of 3rd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2025, 2025 VLSI technology integrates multiple components into a single chip, prioritizing efficiency and miniaturization. This study focuses on Arithmetic Logic Units (ALUs) implemented with FinFET technology, which offers significant performance and efficiency advantages over conventional CMOS-based ALUs. The Gate Diffusion Input (GDI) technique minimizes circuit complexity while optimizing power and speed, leveraging FinFET’s reduced leakage currents and enhanced scalability. Logic circuit optimization techniques further enhance efficiency, catering to the growing demand for low- power systems. Simulations conducted in Cadence validate the superior performance of FinFET-based ALUs, demonstrating a 73.6% reduction in power consumption compared to conventional designs at the same input voltage.
Face Recognition Based on Smart Attendance System Using Python P. Monisha, N. Prakash, E. Udayakumar, S. Tamilselvan, N. Kumareshan Techno Legal Dynamics of Cyber Crimes in Industry 5 0, 2025 Many things are being developed using future technology, but our attendance system still follows the traditional manner. Even while it is expanding, it is still limited to fingerprint access. An essential step with real-time facial images is found to be the practical solution for student attendance management. Facial acknowledgment-based attendance software by recognizing students’ faces uses facial biometrics based on high-resolution measure recordings and other technological innovations to gather attendance. In my field of work, the software is designed that quickly recognize human faces by using photos or videos recorded by a security camera. Enhanced methodologies and techniques have been developed to escalate the accuracy of face recognition, but deep learning is the idea to be used here because it aids in the conversion of video frames into photos and is very efficient so that the students’ faces can be easily recognized for their presence and automatically reflected back in register database.
AI-Powered Sensor Fusion and IoT Model for Mitigating Wildlife Threats in Agriculture N Prakash, Praveen, Sowmyaa, Sakthi Vinayakam, Tamilselvi, Boopathy Proceedings of the 4th International Conference on Intelligent Computing Information and Control Systems Icoiics 2025, 2025 Repeated wildlife intrusions pose a serious threat to agricultural productivity, resulting in significant crop losses, reduced yield quality, and financial distress for farmers. Conventional protection techniques such as physical fencing, manual surveillance, and sound-based deterrents are often ineffective due to their high labor demands and limited adaptability. To overcome these limitations, this study proposes an Artificial Intelligence (AI)-driven Internet of Things (IoT) framework utilizing multi-sensor data fusion for efficient wildlife detection and prevention. The proposed system integrates motion, acoustic, and thermal sensors to collect field data, which are analyzed using an AI-based classification algorithm to accurately identify animal activity and trigger suitable countermeasures. By enhancing detection accuracy, minimizing false alarms, and enabling predictive analytics, the model ensures proactive crop protection. Additionally, the incorporation of edge computing facilitates real-time data processing and rapid response, thereby improving the overall efficiency and adaptability of the system in dynamic agricultural environments. This intelligent, costeffective, and scalable solution contributes to the advancement of autonomous and sustainable smart farming practices.
Design And Analysis Of High-Performance 16-Bit Hybrid Adder Using Ksa & Hca Adder With Domino Logic N. Prakash, A. Sathya, S. Swathi Sree, C. Pradeep, S. Boopathy, R. Krishnaveni 2025 3rd International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2025, 2025 High-speed and efficient arithmetic units are the core of contemporary digital systems and directly influence computation performance and power consumption. In this paper, we introduce a novel hybrid adder architecture that naturally combines the superior carry propagation property of the Kogge-Stone Adder (KSA) with the structurally symmetric design of the Han-Carlson Adder (HCA). Utilizing domino logic, the new architecture exhibits substantial power reduction and computation delay reduction, making it extremely suitable for performance-oriented applications. Extensive simulations confirm the efficacy of this hybrid architecture, with substantial speed and energy efficiency improvements over traditional adder implementations. These improvements render the new hybrid adder an ideal candidate for next-generation high-speed digital processing systems, especially for Very Large-Scale Integration (VLSI) applications where power-delay optimization is critical.
Machine Learning-Driven IoT Framework for Dynamic Street Lighting Management and Energy Optimization N Prakash, Praveen, Sowmyaa, SakthiVinayakam, Tamilselvi, Boopathy Proceedings of 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks Icecmsn 2025, 2025 Street lighting constitutes a significant portion of municipal energy expenditure and maintenance effort. This work presents an IoT-enabled dynamic street lighting management system utilizing machine learning (ML) to optimize illumination and detect faults in real time. The proposed prototype is implemented using Arduino Uno, equipped with LDR, PIR, and current sensors integrated through Wi-Fi modules for cloud-based data analysis. The ML model predicts illumination requirements and system health status based on sensor patterns and environmental conditions. Experimental results show a reduction in average power consumption from 18.4 kWh/day (existing) to 11.2 kWh/day, and an increase in illumination efficiency by 22 %. Fault detection accuracy improves from 78 % to 96 %, with the detection time decreasing from 12 minutes to 3 minutes. Monthly maintenance cost drops by approximately 35 %, and system downtime reduces to 2 hours/month, leading to an overall energy saving of 39 %. The proposed IoT-ML framework demonstrates an intelligent, cost-effective, and scalable solution for adaptive urban street lighting, enabling predictive maintenance and supporting sustainable smart-city infrastructure.
A review on the effects of nano-additives in alternative fuel for CI engines, on performance and emission characteristics S. Tamilselvan, N. Prakash, S. Boopathy, R. Krishnaveni, Rajesh Singh, Raman Kumar E3s Web of Conferences, 2024 The increasing demand for sustainable energy solutions led to the exploration of alternative fuel strategies for CI engines. Among these strategies, the combination of nano-additives into conventional and alternative fuels gained substantial attention due to their potential to enhance engine performances and decrease emissions. This review critically examined the effects of various nano-additives, such as Al₂O₃, SiO₂, CNTs, and TiO₂ etc, on CI engine performance. The incorporation of nano-additives into diesel, biodiesel, and other alternative fuels showed improvements in combustion efficiency and power output. This paper highlighted the mechanisms by which nano-additives enhance fuel properties, such as improving cetane number, viscosity, density and flash point etc . While the use of nano-additives shows promise in optimizing performance and reducing emissions, further research is required to measure long-term environmental and economic impacts. This review provided a comprehensive evaluation of current findings and identifies future research directions for developing cleaner and more efficient CI engine technologies by using nano-additive-enhance the alternative fuels.
Smart Electric Meter Using Lora R. Gowrishankar, B. Senthilkumar, N. Prakash, Visal prewin KS, Harshini S, Dhanalakshmi P Proceedings of the 2024 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2024, 2024
Automatic Vehicle Speed Control System R. Gowrishankar, B. Senthilkumar, N. Prakash, D. Balasubramaniyan, M. Dinesh Pandiyan, S.D. Sasidharan Proceedings of the 2024 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2024, 2024
Wireless Fuel Measurement System using UWB Krishnaveni, M. Prabhu, Paveena, Priyanga, Prakash N, Kumareshan N Proceedings 7th International Conference on Computing Methodologies and Communication Iccmc 2023, 2023
A Smart-Dustbin and Integration of Waste Management System using IoT G.V.V.S.L. Rupesh, Mopidevi Sai Advytha, Nammi Bhanu Prakash, Varsha Sahu, Amit Gupta, Shashi Kant Dargar 4th International Conference on Inventive Research in Computing Applications Icirca 2022 Proceedings, 2022
An IoT-Based Gadget for Visually Impaired People N. Prakash, E. Udayakumar, N. Kumareshan, K. Srihari, Sachi Nandan Mohanty Integration of Cloud Computing with Internet of Things Foundations Analytics and Applications, 2021
IoT and Machine Learning-Based Automated Poultry Feeding S KS, S Boopathy, SK KS, VD JN, N Prakash 2026 4th International Conference on Artificial Intelligence and Machine … , 2026 2026
Machine Learning-Driven IoT Framework for Dynamic Street Lighting Management and Energy Optimization N Prakash 2025 5th International Conference on Evolutionary Computing and Mobile … , 2025 2025
AI-Powered Sensor Fusion and IoT Model for Mitigating Wildlife Threats in Agriculture N Prakash, S Vinayakam 2025 International Conference on Intelligent Computing, Information and … , 2025 2025
Integrating Machine Learning and IoT for Enhanced Solar Panel Monitoring N Prakash, DN Kumar, SS Prabhu, JS Usman 2025 Third International Conference on Emerging Applications of Material … , 2025 2025
Intelligent Phase Control and Fault Detection Using Microcontroller N Prakash, V Srinivasan 2025 10th International Conference on Communication and Electronics Systems … , 2025 2025
An IoT Framework for Ambulance Priority and Urban Traffic Management G Anand, G Mahaboob, S Boopathy, S Tamilselvi, S Kumareshan 2025 10th International Conference on Communication and Electronics Systems … , 2025 2025
A novel method for bioinformatics analysis in gene expression profiling framework for personalized healthcare applications K Natarajan, P Natarajan, S Muthusamy, RK Ravi Multimedia Tools and Applications 84 (22), 24805-24837 , 2025 2025 Citations: 8
Enhanced Dental Disease Detection with YOLOv8: A Deep Learning Approach SMB Naveen, S Vidhyaasaravan, P Thamu, N Prakash 2025 Third International Conference on Augmented Intelligence and … , 2025 2025
Design And Analysis Of High-Performance 16-Bit Hybrid Adder Using Ksa & Hca Adder With Domino Logic N Prakash, A Sathya, SS Sree, C Pradeep, S Boopathy, R Krishnaveni 2025 3rd International Conference on Advancements in Electrical, Electronics … , 2025 2025
Face Recognition Based on Smart Attendance System Using Python P Monisha, N Prakash, E Udayakumar, S Tamilselvan, N Kumareshan The Techno‐Legal Dynamics of Cyber Crimes in Industry 5.0, 373-391 , 2025 2025
Innovative Approach of FinFET Integration for Enhanced Arithmetic and Logic Processing Functionality and Efficiency N Prakash Conference: 2025 Third International Conference on Augmented Intelligence … , 2025 2025
Smart Electric Meter Using Lora R Gowrishankar, B Senthilkumar, N Prakash 2024 International Conference on Innovative Computing, Intelligent … , 2025 2025
Automatic Vehicle Speed Control System R Gowrishankar, B Senthilkumar, N Prakash 2024 International Conference on Innovative Computing, Intelligent … , 2025 2025
Classifying Rice Leaf Diseases through CNN for the Sustainable Agriculture R Krishnaveni, S Tamilselvan, N Prakash, K Haridass, SM Harish, ... IOP Conference Series: Earth and Environmental Science 1375 (1), 012001 , 2024 2024 Citations: 2
Self Sufficient Charging Control System for Electric Bicycle Application K Pradheep, N Prakash, R Gowrishankar, P Keerthivel, K Rahul, M Siddiq 2024 5th International Conference on Intelligent Communication Technologies … , 2024 2024 Citations: 2
A review on the effects of nano-additives in alternative fuel for CI engines, on performance and emission characteristics S Tamilselvan, N Prakash, S Boopathy, R Krishnaveni, R Singh, R Kumar E3S Web of Conferences 588, 03018 , 2024 2024 Citations: 2
A review on the effects of nano-additives in alternative fuel for CI engines, on performance and emission characteristics N Prakash Euro-Asian Conference on Sustainable Nanotechnology, Environment, & Energy … , 2024 2024
Design and Management of an Intelligent Parking Slot System using Computer Vision N Prakash, N Kumareshan, S Tamilselvan, R Gowrishankar 2023 International Conference on Data Science, Agents & Artificial … , 2023 2023
Pruning BERT (Bidirectional Encoder Representations from Transformers): A Comprehensive Review of Pruning Techniques PN Madhusudhanan.R, Dr.Subramaniam Gnanasaravanan, Vinod.A, Dr.N.Kumareshan ... European Chemical Bulletin, 1304-1327 , 2023 2023
Comparison between the spherical and angular type WC particles reinforced in Nickel-based matrix deposited using Plasma Transferred Arc Welding process V ArunKumar, N Prakash, K Deenadayalan Materials Today: Proceedings , 2023 2023 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
Arduino Based traffic congestion control with automatic signal clearance for emergency vehicles and Stolen Vehicle Detection EU N Prakash ieeexplore.ieee.org , 2020 2020 Citations: 34
Retracted: Design and development of Android based Plant disease detection using Arduino N Prakash, E Udayakumar, N Kumareshan 2020 7th International Conference on Smart Structures and Systems (ICSSS), 1-6 , 2020 2020 Citations: 28
Power quality improvement of grid inter connected hybrid system using STATCOM N Prakash, VR Balaji, M Sudha International Journal of Advanced Engineering Technology 7 (2), 1225-1233 , 2016 2016 Citations: 27
GSM-Based Design and Implementation of Women Safety Device Using Internet of Things RG N. Prakash, E. Udayakumar, N. Kumareshan Advances in Intelligent Systems and Computing 1167, 169-176 , 2020 2020 Citations: 20
Performance Analysis Of Various Routing Protocols For Vanet Environments GK n.kumareshan,N.Prakash,N.Arun vignesh international journal of innovative technology and exploring Engineering 8 … , 2019 2019 Citations: 19
Retracted: Analysis of QoS for Conveying Authorisation Based on Internet of Things (IoT) in Wireless Sensor Networks (WSN) N Prakash, M Rajalakshmi, R Nedunchezhian 2020 7th International Conference on Smart Structures and Systems (ICSSS), 1-9 , 2020 2020 Citations: 16
RETRACTED ARTICLE: Optimized Energy Aware Routing Based on Suitable Based Antlion Group with Advanced Algorithm (SA-AOA) in Wireless Sensor Network N Prakash, M Rajalakshmi, R Nedunchezhian Wireless Personal Communications 113 (1), 59-77 , 2020 2020 Citations: 16
Implementation of smart control of wheelchair for a disabled person N Prakash, E Udayakumar, N Kumareshan Internet of Things and Its Applications, 137-150 , 2021 2021 Citations: 13
Light Intensity RTC Based Solar Tracking for Power Conservation in Irrigation System DT Prakash. N international journal of engineering research and technology 3 (Issue 1 … , 2014 2014 Citations: 12
Implementation of Routing Protocols for Predicting Energy Consumption and route lifetime for Improving network Lifetime in Mobile Adhoc Networks N Kumareshan, N Prakash, NA Vignesh, CG Prasad, D Somasundaram, ... Solid State Technology 63 (5), 9391-9396 , 2020 2020 Citations: 11
Wireless Fuel Measurement System using UWB M Prabhu, N Prakash, N Kumareshan 2023 7th International Conference on Computing Methodologies and … , 2023 2023 Citations: 10
An IoT‐Based Gadget for Visually Impaired People N Prakash, E Udayakumar, N Kumareshan, K Srihari, SN Mohanty Integration of Cloud Computing with Internet of Things: Foundations … , 2021 2021 Citations: 10
IOT Based Smart Security and Monitoring Devices for Agriculture VR Balaji, N Prakash Int. J. Pure Appl. Math 116 (11), 121-129 , 2017 2017 Citations: 10
IMPLEMENTING P2P RESOURCE SHARING APPLICATIONS IN WIRELESS MESH NETWORKS DNK N prakash International Journal of Scientific Engineering and Applied Science (IJSEAS … , 2017 2017 Citations: 10
A novel method for bioinformatics analysis in gene expression profiling framework for personalized healthcare applications K Natarajan, P Natarajan, S Muthusamy, RK Ravi Multimedia Tools and Applications 84 (22), 24805-24837 , 2025 2025 Citations: 8
M-Chord and Mr-Chord Protocol for High-Throughput Hybrid Wireless Networks N Kumareshan International Journal Of Information And Computing Science 5 (11) , 2018 2018 Citations: 8
Three phase voltage source inverters with grid connected industrial application PN BVR International Journal of Engineering & Technology 7 (4), 18 , 2018 2018 Citations: 8
Comparison between the spherical and angular type WC particles reinforced in Nickel-based matrix deposited using Plasma Transferred Arc Welding process V ArunKumar, N Prakash, K Deenadayalan Materials Today: Proceedings , 2023 2023 Citations: 5
Improving the Quality and performance of wireless Ad-hoc network by Using MMCN Architecture A Kalaiarasi., S Raja., N Kumareshan., M Pradeepa, NA Vignesh., ... 2023 International Conference on Computer Communication and Informatics (ICCCI) , 2023 2023 Citations: 4
Performance Analysis and Comparison of Speaker Independent Isolated Speech Recognition System A Kalaiarasi, A Narendrakumar, P Jayabalasubramaniam, N Kumareshan, ... 2023 International Conference on Computer Communication and Informatics (ICCCI) , 2023 2023 Citations: 3
