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8 articles for “K. Siva Kumar”
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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 · 764 accessesView PDFCite
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 · 1,715 accessesView PDFCite
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 · 5,235 accessesView PDFCite
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 · 6,157 accessesView PDFCite
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 · 8,770 accessesView PDFCite
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 · 8,002 accessesView PDFCite
Research ArticleOpen accessIn the author namesArtificial Neural Network Based Rotor Capacitive Reactance Control for Energy Efficient Wound Rotor Induction MotorK. Ranjith Kumar, S. Palaniswami, K. Siva KumarProblem statement: The Rotor reactance control by inclusion of external capacitance in the rotor circuit has been in recent research for improving the performances of Wound Rotor Induction Motor (WRIM). The rotor capacitive reactance is adjusted such that for any desired load torque the efficiency of the WRIM is maximized. The rotor external capacitance can be controlled using a dynamic … …Journal of Computer Science, Vol. 8, Issue 7 · 26 May 2012 · 7,166 accessesView PDFCite
Research ArticleOpen accessIn the author namesDesign of 16-point Radix-4 Fast Fourier Transform in 0.18µm CMOS TechnologySiva Kumar Palaniappan, Tun Zainal Azni ZulkifliThis paper introduces detail design of semi-custom CMOS Fast Fourier Transform (FFT) architecture for computing 16-point radix-4 FFT. FFT is one of the most widely used algorithms in digital signal processing. It is used in many signal processing and communication application as an important block for various multi-carrier systems such as for WLAN (Wireless local area network). This paper describes … …American Journal of Applied Sciences, Vol. 4, Issue 8 · 31 Aug 2007 · 7,169 accessesView PDFCite