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8 articles for “R. Ganesh Kumar”
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Research ArticleOpen accessIn the author namesIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,761 accessesView PDFCite
Research ArticleOpen accessIn the author namesCross-Layer Design for Combining Adaptive Modulation and Coding with DMMPP Queuing for Wireless NetworksManikandan Arunachalam, Naresh Kumar Babu, Anandan Perumal et al.Resource management and Quality of Service (QoS) are seen as key concerns for many applications in 5G networks since they support millions of linked devices. When sharing information over error-prone wireless networks, these resource management strategies are necessary to fulfill multimedia applications with a minimum throughput guarantee, low error probability, and high tolerated delay. One of the most complex traffic … …Journal of Computer Science, Vol. 19, Issue 6 · 31 May 2023 · 5,424 accessesView PDFCite
Research ArticleOpen accessIn the author namesSPLINE ACTIVATED NEURAL NETWORK FOR CLASSIFYING CARDIAC ARRHYTHMIAY. S. Kumaraswamy, R. Ganesh KumarElectro Cardiogram’s (ECG) biomedical signals characterizing cardiac anomalies are used for identifying cardiac arrhythmia. Irregular heartbeat-Arrhythmia-affects heart rate causing problems. Many methods, trying to simplify arrhythmia monitoring through automated detection, were developed over the years. ECG classification for arrhythmia is investigated in this paper based on soft computing techniques. RR interval are extracted from time series of the ECG and … …Journal of Computer Science, Vol. 10, Issue 8 · 9 Apr 2014 · 6,973 accessesView PDFCite
Research ArticleOpen accessIn the author namesPERFORMANCE ANALYSIS OF BRAIN TUMOR DIAGNOSIS BASED ON SOFT COMPUTING TECHNIQUESP. Shantha Kumar, P. Ganesh KumarComputed tomography images are widely used in the diagnosis of brain tumor because of its faster processing, avoiding malfunctions and suitability with physician and radiologist. This study proposes a new approach to automated detection of brain tumor. This proposed work consists of various stages in their diagnosis processing such as preprocessing, anisotropic diffusion, feature extraction and classification. The local binary … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 27 Dec 2013 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the author namesIntelligent Apriori Algorithm for Complex Activity Mining in Supermarket ApplicationsV. Ganesh Kumar, K. MuneeswaranAs shopping becomes a shared experience and joint process with friends or family members nowadays, the most important problems arise with variety of products and the product information available in the supermarkets. This study proposes a system that uses Intelligent Apriori algorithm to support consumers in getting the required items from various supermarkets. Also this work intelligently suggests the best … …Journal of Computer Science, Vol. 9, Issue 4 · 9 May 2013 · 6,366 accessesView PDFCite
Research ArticleOpen accessIn the author namesDynamic Approach to Defend Against Distributed Denial of Service Attacks Using an Adaptive Spin Lock Rate Control MechanismR. Anurekha, K. Duraiswamy, A. Viswanathan et al.Problem statement: The last decade has seen many prominent Distributed Denial of Service (DDoS) attacks on high profile webservers. In this study, we deal with DDoS attacks by proposing a dynamic reactive defense system using an adaptive Spin Lock Rate control (D3SLR). D3SLR identifies malicious traffic flow towards a target system based on the volume of traffic flowing towards the … …Journal of Computer Science, Vol. 8, Issue 5 · 17 Feb 2012 · 7,066 accessesView PDFCite
Research ArticleOpen accessIn the author namesProteomics Approach for Investigating the Disease Resistance Using Cucumber as Model PlantSaligrama A. Deepak, Junko Shibato, Hideo Ishii et al.The profile of proteins induced in cucumber leaves pretreated with Acibenzolar-S-Methyl (ASM) and challenge inoculated with Colletotrichum orbiculare are presented. ASM was applied to the first leaf and the third leaf collected at different time intervals of 0-48 h and the total protein extracted using trichloroacetic acid acetone was analyzed by two-dimensional gel electrophoresis. Increased expressions of pyridoxine biosynthesis protein, … …American Journal of Biochemistry and Biotechnology, Vol. 4, Issue 3 · 30 Sep 2008 · 7,243 accessesView PDFCite
Research ArticleOpen accessIn the author namesTransgenic Indian Cotton (Gossypium hirsutum) Harboring Rice Chitinase Gene (Chi II) Confers Resistance to Two Fungal PathogensM. Ganesan, P. Bhanumathi, K. Ganesh Kumari et al.Problem statement: The present investigation described a simple and reproducible protocol for transgenic cotton regeneration and characterization of chitinase (Chi II) gene expression against two different fungal pathogens in cotton. Approach: Transgenic cotton (Gossypium hirsutum cv. SVPR2) plants were produced by pCambia-bar-Chi II (13.8 kb) under the control of the CaMV 35S promoter, harbored in the strain LBA 4404 Agrobacterium … …American Journal of Biochemistry and Biotechnology, Vol. 5, Issue 2 · 30 Jun 2009 · 8,536 accessesView PDFCite