13 results for “K. Siva Kumar”

AuthorSiva Kumar A/L Subramaniam1 article

Research ArticleOpen accessIn the author namesEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 755 accessesView PDF Cite

Research ArticleOpen accessIn the author namesWeb Based Multi Feature Propagation Analysis Model for Efficient Disease Interference and Recommendation Using Deep LearningM. Manoj Kumar, R. SivaAccurate prediction of chronic diseases is critical for proactive healthcare management. This paper proposes a Multi-feature Propagation Analysis-based Deep Learning Model (MPADM) to address this challenge. The model integrates diverse patient data, including medical, diagnostic, genetic, and historical features, collected from multiple sources. After preprocessing, the network is trained to calculate distinct Propagation Weights (PWs) for each feature category, Diagnosis … …Journal of Computer Science, Vol. 21, Issue 11 · 29 Jan 2026 · 1,709 accessesView PDF Cite

Research ArticleOpen accessIn the author namesA Novel Optimized Machine Learning Approach for Early Prediction of Heart Disease Using Bio-Inspired AlgorithmsIndira Priyadarsini, I.S. Siva Rao, P. Swetha et al.This study presents a novel approach for early prediction of heart disease using bio-inspired optimization algorithms to select and optimize features. The proposed approach utilizes a Genetic Algorithm (GA), Bat Algorithm (BA), Bee Algorithm (BA), and Ant Colony Optimization (ACO) to optimize a set of four features for improved prediction accuracy. The optimization process aims to identify the most relevant … …Journal of Computer Science, Vol. 21, Issue 1 · 4 Dec 2024 · 5,227 accessesView PDF Cite

Research ArticleOpen accessIn the author namesAn Efficient Video Compression Framework using Deep Convolutional Neural Networks (DCNN)Kommerla Siva Kumar, P. Bindhu Madhavi, K. JanakiIn the current world, video streaming has grown in popularity and now accounts for a large percentage of internet traffic, making it challenging for service providers to broadcast videos at high rates while utilizing less storage space. To follow inefficient analytical coding design, previous video compression prototypes require non-learning-based designs. As a result, we propose a DCNN technique that integrates … …Journal of Computer Science, Vol. 18, Issue 7 · 13 Jul 2022 · 6,153 accessesView PDF Cite

Research ArticleOpen accessIn the author namesDeveloping a Prototype for Sun Tracker System Based on IoT: Controlled by Mobile App and Online Database MonitoringIsmail Ismail Yusuf Panessai, Muhammad Modi bin Lakulu, Siva Kumar A/L Subramaniam et al.IoT (Internet of Things) has become a separate research field since the development of internet technology and other communication media. IoT optimizes several tools such as sensor media radio frequency identification, wireless sensor networks and other smart objects that allow humans to easily interact with all devices connected to the internet network. The purpose of this research is to build … …American Journal of Applied Sciences, Vol. 16, Issue 1 · 11 Feb 2019 · 8,766 accessesView PDF Cite

Research ArticleOpen accessIn the author namesRationale Management Approach in Stress Management: An Information PerceptionV.T.R. Vijaya Kumar, R. Dhaneesh, R. V. Siva BalanOccupational stress has both positive and negative impact. By tweaking stress causing factors, the positive and negative impact of occupational stress can be proscribed. By default, stressors have a degree of proportion pertaining to the type of organization. Manipulation of the existing proportion results in consideration of tradeoff among stressors. Control on job is considered as a factor of providing … …American Journal of Applied Sciences, Vol. 10, Issue 1 · 20 Jan 2013 · 7,998 accessesView PDF Cite