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29 results for “J. Selvakumar”
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Research ArticleOpen accessIn the author namesExplainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM VisualizationD. Vetrithangam, Pramod Kumar, Shilpasree S. et al.Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learning models. To address these limitations, we propose an Explainable MedAttn-ResNet50 framework that integrates radiology-driven preprocessing, multi-scale feature extraction, and medical attention mechanisms within a unified architecture. The preprocessing pipeline applies radiology-inspired intensity normalization, contrast enhancement, and … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,127 accessesView PDFCite
Research ArticleOpen accessIn the author namesRefining Chest X-ray Interpretation with Deep Transfer Learning TechniquesR. Sriramkumar, K. Selvakumar, J. JeganChest X-rays are essential diagnostic tools for thoracic diseases, but different doctors' interpretations can differ greatly, which frequently results in inconsistent diagnoses. By using deep transfer learning techniques, this study seeks to improve the accuracy of Chest X-ray interpretations. More accurate and effective analysis can be accomplished with the growing potential of artificial intelligence (AI) in medical imaging, especially through … …Journal of Computer Science, Vol. 21, Issue 10 · 27 Nov 2025 · 2,655 accessesView PDFCite
Research ArticleOpen accessIn the author namesAn Adaptive Assessment and Prediction Mechanism in Network Security Situation AwarenessYu-Beng Leau, Ali Abdulrazzaq Khudher, Selvakumar Manickam, Samer Al-SalemNetwork intrusion attempts have reached an alarming level. Cisco's 2014 Security Report indicated that 50,000 network intrusions were detected and 80 million suspicious web requests were blocked daily. Hence, Intrusion Prevention System (IPS) had been chosen as a defence mechanism in many organizations. However, the University of South Wales reported that seven big-brand IPS had failed to detect and block … …Journal of Computer Science, Vol. 13, Issue 5 · 22 May 2017 · 8,353 accessesView PDFCite
Review ArticleOpen accessIn the author namesCritical Review of Economical Denial of Sustainability (EDoS) Mitigation TechniquesParminder Singh Bawa, Selvakumar ManickamMany organizations and service providers have started shifting from traditional server-cluster infrastructure to cloud-based infrastructure. The threat of Distributed Denial of Service (DDoS) attack continues to wreak havoc in these cloud infrastructures. In addition to DDoS attacks, a new form of attack known as Economic Denial of Sustainability (EDoS) attack has emerged in recent years. EDoS which is unique to … …Journal of Computer Science, Vol. 11, Issue 7 · 29 Oct 2015 · 7,836 accessesView PDFCite
Research NotesOpen accessIn the author namesA Proposed Framework for Outsourcing and Secure Encrypted Data on OpenStack Object Storage (Swift)Hala Albaroodi, Selvakumar Manickam, Mohammed AnbarDespite the numerous potential benefits of Open Source Cloud Computing (OSCC) in several industrial and academic-oriented environments, OSCC could be also associated with some risks. However, which a proper awareness to the cloud consumers or organisations, these risks can be clearly identify and avoided. OpenStack Swift security can provide a greater understanding of how OpenStack Swift functions and what types … …Journal of Computer Science, Vol. 11, Issue 3 · 14 May 2015 · 7,008 accessesView PDFCite
Research ArticleOpen accessIn the author namesLeader’s Support-an Organisational AssetAngeline Selvakumar, SudhaIn a rapidly changing world of work, leaders face increasing challenges in understanding what motivates and enhances organisational performance. The support from the leader has become essential for the employees and the teams to perform. This study aims to study the level of leader’s support and the various aspects of leader’s support existing in the selected Information Technology (IT) organisation. … …American Journal of Applied Sciences, Vol. 12, Issue 3 · 9 May 2015 · 7,062 accessesView PDFCite
Research ArticleOpen accessIn the author namesALL OPTICAL IMPLEMENTATION OF HIGH SPEED AND LOW POWER REVERSIBLE FULL ADDER USING SEMICONDUCTOR OPTICAL AMPLIFIER BASED MACH-ZEHNDER INTERFEROMETERR. M. Bommi, S. Selvakumar RajaIn the recent years reversible logic design has promising applications in low power computing, optical computing, quantum computing. VLSI design mainly concentrates on low power logic circuit design. In the present scenario researchers have made implementations of reversible logic gates in optical domain for its low energy consumption and high speed. This study is all about designing a reversible Full … …Journal of Computer Science, Vol. 10, Issue 7 · 12 Feb 2014 · 6,674 accessesView PDFCite
Research ArticleOpen accessIn the author namesCOMPARISON OF OPTIMIZATION TECHNIQUE TO FIND THE OPTIMAL LOCATION OF FACTS CONTROLLERS FOR TRANSMISSION LINEJagadeesh Kumar Muthukrishnan, Subhransu Sekhar Dash, Harish Kiran Selvakumar et al.The aspect of this study is to compare the three different algorithms such as Genetic Algorithm (GA), Enhanced Genetic Algorithm (EGA) and Particle Swarm Optimization (PSO) to fine the optimal location of the FACTS device in the transmission line. The FACTS devices Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) are selected based on the steady stability … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 26 Dec 2013 · 6,680 accessesView PDFCite
Research ArticleOpen accessIn the author namesA REVIEW OF PEER-TO-PEER BOTNET DETECTION TECHNIQUESMohammed Jamil Elhalabi, Selvakumar Manickam, Loai Bani Melhim et al.In recent years, Peer-to-Peer technology has an extensive use. Botnets have exploited this technology efficiently and introduced the P2P botnet, which uses P2P network for remote control of its bots and become one of the most significant threats to computer networks. They are used to make DDOS attacks, generate spam, click fraud and steal sensitive information. Compared with traditional botnets, … …Journal of Computer Science, Vol. 10, Issue 1 · 13 Nov 2013 · 7,597 accessesView PDFCite