30 articles for “S. V. Raju”

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 PDF Cite

Research ArticleOpen accessIn the author namesAn Intelligent Hybrid Machine Learning Model for Paddy Disease DetectionS. Hrushikesava Raju, S. Adinarayna, U. Sesadri et al.Most countries rely on paddy/rice as a preferred staple crop due to its desirable agronomic characteristics. However, during the growth cycle, undetected or delayed identification of diseases can significantly reduce crop yield. To address this, machine learning approaches are increasingly employed for early-stage disease detection. Traditional Recurrent Neural Networks (RNNs), while useful for sequential data, suffer from limitations such as … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,754 accessesView PDF Cite

Research ArticleOpen accessIn the author namesUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,549 accessesView PDF Cite

Research ArticleOpen accessIn the author namesA Safe Method of Storing and Exchanging Electronic Health Records Using Smart Contracts and Blockchain Technology Using Fully Hashed Menezes-Qu-Vanstone AlgorithmMeenakshi Vashisth, Raju RanjanElectronic Health Records (EHRs) are essential for clinicians, patients, and researchers because they support timely care and informed decision-making. For this reason, digital health information must be collected, managed, and stored with strong protections to preserve privacy and prevent tampering. One approach to strengthening security is to use blockchain-based storage alongside smart contracts and controlled data sharing, which can help … …Journal of Computer Science, Vol. 22, Issue 2 · 21 Feb 2026 · 1,644 accessesView PDF Cite

Research ArticleOpen accessIn the author namesEnhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic ForecastingNaga Raju Hari Manikyam, A. Thangam, J. Murugachandravel et al.The rapid growth and widespread adoption of Electric Vehicles (EVs) play a crucial role in the progress of intelligent transportation systems, resulting in a significant decrease in environmentally damaging greenhouse gas emissions. The increase in EV usage has made it crucial to develop charging infrastructure to keep up with the growing demand. Precisely predicting EV charging demand is crucial to … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,543 accessesView PDF Cite

Review ArticleOpen accessIn the author namesExploring Applications, Datasets, Algorithms, and Technologies in Satellite Image ProcessingBijeesh TV, Bejoy BJ, Michael Moses Thiruthuvanthan, Raju GAmidst an era filled with complex local and global problems, satellite data presents itself as a revolutionary tool with unmatched potential to tackle practical problems in a variety of fields. This article investigates how satellite imagery, which is available through open data programs and repositories, is a valuable tool for applications including wildlife conservation, urban planning, precision agriculture, and disaster … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,590 accessesView PDF Cite

Research ArticleOpen accessIn the author namesEnhanced Postoperative Brain MRI Segmentation with Automated Skull Removal and Resection Cavity AnalysisSobha Xavier P., Sathish P. K., Raju G.Brain tumors present a significant medical challenge, often necessitating surgical intervention for treatment. In the context of postoperative brain MRI, the primary focus is on the resection cavity, the void that remains in the brain following tumor removal surgery. Precise segmentation of this resection cavity is crucial for a comprehensive assessment of surgical efficacy, aiding healthcare professionals in evaluating the … …Journal of Computer Science, Vol. 20, Issue 5 · 19 Mar 2024 · 5,699 accessesView PDF Cite

Research ArticleOpen accessIn the author namesCardiovascular Disease Prediction through Ensembled Transfer Learning on Cardiac Magnetic Resonance ImagingSibu Cyriac, Sivakumar R., Nidhin RajuCardiovascular Diseases (CVD) cause more deaths worldwide than most of the other diseases. The diagnosis of cardiovascular disease from Magnetic Resonance Imaging plays a major role in the medical field. The technological revolution contributed a lot to increase the effectiveness of CVD diagnosis. Many Artificial Intelligence methods using Deep Learning models are available to assist the cardiologist in the diagnosis … …Journal of Computer Science, Vol. 18, Issue 11 · 2 Nov 2022 · 6,171 accessesView PDF Cite

Research ArticleOpen accessIn the author namesDesign and Fabrication of Arduino-Based Automated Cradle Rocking and Moisture Detection MechanismCanute Sherwin, Raju K., Manish V. K. et al.Anew, inexpensive domestic electronic cradle that can compete with currentimported, expensive models has been a long-time need. This study describes thedesign and implementation of a new indigenous low-cost E-Baby Cradle thatswings automatically when the baby cries. The cry analyzing system recognizesthe sound of a baby's cry and swings the cradle appropriately until the babystops crying. According to the user's needs, … …Journal of Mechatronics and Robotics, Vol. 6, Issue 1 · 30 Aug 2022 · 5,758 accessesView PDF Cite

Research ArticleOpen accessIn the author namesAn Effective and Viable DNA Extraction Protocol for FFPE Tissues and its Effect on Downstream Molecular ApplicationSai Sushmitha Kontham, Charles Emmanuel Jebaraj Walter, Manjula Raju et al.Archival Formalin-Fixed Paraffin-Embedded (FFPE) tissues are a readily available source of DNA for retrospective studies including genetic predisposition. FFPE tissues present significant challenges for extraction of pure genomic DNA in adequate amounts due to the harsh fixation conditions and long-term storage associated with samples. The aim of the study is to propose a simple, in-expensive, viable protocol for the extraction … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 1 · 24 Mar 2020 · 7,379 accessesView PDF Cite