P. Sundaravadivel
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View article: Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics
Machine learning-driven development of a behaviour-based student classification system (SCS-B) for enhanced educational analytics Open
View article: AI-Powered Federated Framework for Personalized, Privacy Preserving, and Sustainable Meal Planning
AI-Powered Federated Framework for Personalized, Privacy Preserving, and Sustainable Meal Planning Open
The daily decision of “what to cook” often results in time wastage, repetitive meals, poor dietary balance, and food waste. To address this challenge, we propose the Smart Meal Planner (SMP)—an AI-driven framework that delivers personalize…
View article: Light-MLLMAD: A Lightweight Multimodal Large Language Model for One-Shot Industrial Visual Anomaly Detection
Light-MLLMAD: A Lightweight Multimodal Large Language Model for One-Shot Industrial Visual Anomaly Detection Open
Industrial visual anomaly detection plays a pivotal role in ensuring product quality and operational safety across manufacturing, energy, and precision engineering sectors. However, most deep learning approaches rely on extensive defect da…
View article: Prospective Validation of the EAC+ Algorithm for Surgical Timing in Multi-System Trauma: A Multicentre Pragmatic Trial
Prospective Validation of the EAC+ Algorithm for Surgical Timing in Multi-System Trauma: A Multicentre Pragmatic Trial Open
The optimal timing of definitive surgical intervention in multi-system trauma remains a decisive factor in patient outcomes, yet existing protocols often fail to reflect real-time physiological readiness. This prospective multicentre study…
View article: Federated Deep Learning and Explainable AI for Real-Time Credit Card Fraud Detection in Highly Imbalanced Transaction Streams
Federated Deep Learning and Explainable AI for Real-Time Credit Card Fraud Detection in Highly Imbalanced Transaction Streams Open
The fraud detection systems using credit cards available today would need to contend, on the one hand, with the dynamically evolving cyber-fraud tactics and, on the other hand, the high-security data protection compliance regulations, as w…
View article: Optimizing Task Offloading and Resource Management in Next- Generation 6G Networks Using an Intelligent Hierarchical Edge- Fog-Cloud Computing Architecture with Reinforcement Learning and Federated Intelligence
Optimizing Task Offloading and Resource Management in Next- Generation 6G Networks Using an Intelligent Hierarchical Edge- Fog-Cloud Computing Architecture with Reinforcement Learning and Federated Intelligence Open
The exponential growth in user demand, heterogeneous applications, and ultra-low latency requirements of next-generation wireless communication has propelled the need for a paradigm shift in task offloading and resource management strategi…
View article: Quantum-Enhanced Federated Chaotic Transformer Framework for Ultra-Low Latency and Secure Multi-Site Telesurgery in 6G- Enabled Networks
Quantum-Enhanced Federated Chaotic Transformer Framework for Ultra-Low Latency and Secure Multi-Site Telesurgery in 6G- Enabled Networks Open
The next generation of telesurgery demands quantum-resilient, ultra-low latency, and highly secure distributed AI frameworks capable of functioning across heterogeneous clinical sites. Building on prior federated learning-based telesurgery…
View article: Fuzzy Logic-Enabled Smart Food Waste Management Using IoT for Real-Time Monitoring and Optimization
Fuzzy Logic-Enabled Smart Food Waste Management Using IoT for Real-Time Monitoring and Optimization Open
Food constitutes a fundamental component essential for the sustenance of human life. It provides vital nutrients necessary for the growth and development of bodily tissues, facilitates the optimal functioning of organs, supplies energy req…
View article: Adaptive Strategies for Geo Distributed Data Processing Across Heterogeneous Internet Landscapes
Adaptive Strategies for Geo Distributed Data Processing Across Heterogeneous Internet Landscapes Open
The complexity of geo-distributed data processing is difficult for traditional Map Reduce frameworks to handle because they were initially created for single-cluster environments. Despite efforts to address these issues, extensions like Hi…
View article: Optimizing credit card fraud detection with random forests and SMOTE
Optimizing credit card fraud detection with random forests and SMOTE Open
In the financial world, Credit card fraud is a budding apprehension in the banking sector, necessitating the development of efficient detection methods to minimize financial losses. The usage of credit cards is experiencing a steady increa…
View article: Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks
Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks Open
View article: Compact circularly polarized dual band antenna with modified patch for ISM and V2X communication systems
Compact circularly polarized dual band antenna with modified patch for ISM and V2X communication systems Open
This paper introduces a novel design and development of a compact circularly polarized antenna operating at two distinct frequency bands, 2.5 GHz and 6 GHz. The innovation lies in using a modified circular patch and a uniquely designed fee…
View article: Zero-Knowledge Cross-User De-Duplication for Big Data Storage on Cloud
Zero-Knowledge Cross-User De-Duplication for Big Data Storage on Cloud Open
View article: Prostate Gland Cancer Detection and Grade Classifying Using Gleason Score-Based Machine Learning Approach
Prostate Gland Cancer Detection and Grade Classifying Using Gleason Score-Based Machine Learning Approach Open
View article: Ai-Ml Driven Map-Matching Algorithm for Distinguishing Highway and Service Road Vehicular Movements Under Gnss Degradation
Ai-Ml Driven Map-Matching Algorithm for Distinguishing Highway and Service Road Vehicular Movements Under Gnss Degradation Open
View article: Deep learning-based skin lesion classification for cancer detection
Deep learning-based skin lesion classification for cancer detection Open
Early detection is crucial for a successful remedy of skin cancer and an upsurge of longevity, as it is one of the most ubiquitous kinds of cancer globally. This project introduces a skin cancer detection system that employs Convolutional …
View article: Zero-Knowledge Cross-User De-Duplication for Big Data Storage on Cloud
Zero-Knowledge Cross-User De-Duplication for Big Data Storage on Cloud Open
The rise of cloud computing and the prodigious volume of data in cloud storage has been a forerunner and expediter to the emergence of big data. Cloud computing has become the platform for centralized pools of resources such as application…
View article: Optimizing Credit Card Fraud Detection with Random Forests and SMOTE
Optimizing Credit Card Fraud Detection with Random Forests and SMOTE Open
Credit card fraud is a growing concern in the financial industry, necessitating the development of efficient detection methods to minimize financial losses. In this project, we built a machine learning-based system to detect fraudulent tra…
View article: Machine Learning-Driven Development of a Behaviour-Based Student Classification System (SCS-B) for Enhanced Educational Analytics
Machine Learning-Driven Development of a Behaviour-Based Student Classification System (SCS-B) for Enhanced Educational Analytics Open
In Educational Data Mining, Educational Data Extraction and analysis, as well as learning analytics, it is very significant to evaluate the student’s performance in various aspects for enhancing the educational standards. The growth of stu…
View article: A versatile conformal circularly polarized quad-element antenna for X-band applications
A versatile conformal circularly polarized quad-element antenna for X-band applications Open
View article: Enhanced Novelty approaches for Resource Allocation Model for Multi-Cloud Environment in Vehicular Ad-Hoc Networks
Enhanced Novelty approaches for Resource Allocation Model for Multi-Cloud Environment in Vehicular Ad-Hoc Networks Open
As the number of service requests for applications continues increasing due to various conditions, the limitations on the number of resources provide a barrier in providing the applications with the appropriate Quality of Service (QoS) ass…
View article: A hybrid Satin Bower Bird Optimization and SVM for Wine Quality Prediction
A hybrid Satin Bower Bird Optimization and SVM for Wine Quality Prediction Open
Nowadays, wine is being used extensively, and the industry is rapidly growing. Many wine industries are promoting their products to compete with the wine sector because it generates more revenue than other industries. Every wine industry a…
View article: Secure Key Management Based Mobile Authentication in Cloud
Secure Key Management Based Mobile Authentication in Cloud Open
Authentication is important to the security of user data in a mobile cloud environment. Because of the server’s user credentials, it is subject to attacks. To maintain data authentication, a novel authentication mechanism is proposed. It c…
View article: Enhanced Route Optimization for Wireless Networks Using Meta-Heuristic Engineering
Enhanced Route Optimization for Wireless Networks Using Meta-Heuristic Engineering Open
Wireless Sensor Networks (WSN) are commonly used to observe and monitor precise environments. WSNs consist of a large number of inexpensive sensor nodes that have been separated and distributed in different environments. The base station r…