42 results for “R. Mall”

Research ArticleOpen accessIn the keywordsMonoclonal Antibody-Based Therapeutics for Melioidosis and GlandersHyung-Yong Kim, Alexander Stojadinovic, Peter J. Weina et al.Problem statement: Burkholderia Pseudomallei (BP) and B. Mallei (BM) were two closely related pathogenic gram-negative bacteria. They were the causative agents of melioidosis and glanders, respectively and are recognized by CDC as category B select agents. Significant efforts had been devoted to developing the diagnostic and therapeutic measures against these two pathogens. Monoclonal antibody-based therapeutic was a promising targeted therapy … …American Journal of Immunology, Vol. 7, Issue 3 · 23 Dec 2011 · 8,975 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsOptimization Techniques for Variable Selection in Binary Logistic Regression Model Applied to Desire for Children DataS. K. Sarkar, Habshah MidiProblem statement: The population problem is the biggest problem in the world. In the global and regional context, Bangladesh population has drawn considerable attention of the social scientists, policy makers and international organizations. Bangladesh is now world’s 10th populous country having about 140 million people. The recent experience of Bangladesh shows that fertility can sustain impressive declines even when women’s … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,095 accessesView PDF Cite

Research ArticleOpen accessIn the author namesDeveloping an Effective Churn Prediction Model for Telecommunications: Enhancing Customer Retention through Advanced Machine Learning TechniquesAshu Goyal, Anuj Gupta, Sharad Kumar et al.Customer churn poses a significant challenge for the telecommunications sector, resulting in substantial revenue losses and increased customer acquisition costs. This research creates an efficient churn prediction model that combines state-of-the-art machine learning with ensemble learning to maximize customer retention. With the IBM Telco Customer Churn dataset, several baseline models, including Gradient Boosting, AdaBoost, Logistic Regression, Random Forest, and Support … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 3,164 accessesView PDF Cite

Research ArticleOpen accessIn the author namesMulti-objective Genetic Algorithm for Association Rule Mining Using a Homogeneous Dedicated Cluster of WorkstationsS. Dehuri, A. K. Jagadev, A. Ghosh, R. MallThis study presents a fast and scalable multi-objective association rule mining technique using genetic algorithm from large database. The objective functions such as confidence factor, comprehensibility and interestingness can be thought of as different objectives of our association rule-mining problem and is treated as the basic input to the genetic algorithm. The outcomes of our algorithm are the set of … …American Journal of Applied Sciences, Vol. 3, Issue 11 · 30 Nov 2006 · 7,519 accessesView PDF Cite

Research ArticleOpen accessIn the author namesDesign of a Synchronous Reference Frame Controlled Fuzzy Logic Based Distribution Static Compensator to Enhance Distribution System Power QualityRekha Sampath, Lokesh Mallaiah, Ashwini A V et al.The demand for enhanced power quality in distribution systems has increased due to the widespread utilization of various AC loads, including rectifiers, inductive loads, and variable speed drives. When these nonlinear loads are combined with renewable energy sources, harmonics are introduced in the system. These can affect the way other equipment in the network works and leave the system vulnerable … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,710 accessesView PDF Cite

Research ArticleOpen accessIn the author namesFine-Tuned and Optimized Transformer-Based Model for EEG Seizure DetectionPuspanjali Mallik, Ajit Kumar Nayak, Kumar Janardan Patra et al.Epilepsy, a widely recognized neurological disorder, results from irregularities in the transmission of electrical impulses among neurons in the brain. Over the last two decades, significant efforts have been made by researchers and clinicians to develop effective methods for its early detection and management. The electroencephalogram (EEG), a non-invasive tool used to monitor brainwave activity, has become a central device … …Journal of Computer Science, Vol. 21, Issue 11 · 11 Feb 2026 · 1,412 accessesView PDF Cite

Research ArticleOpen accessIn the author namesInternet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy PlantThangaraj Ethilu, K. Parthiban, Arockia Jayadhas S et al.Sheath blight disease (Rhizoctonia solani) poses a critical threat to paddy (Oryza sativa) production, causing up to 50% yield losses under conducive environmental conditions. Existing computer vision-based disease detection systems identify infections only after symptom manifestation, while conventional machine learning prediction models suffer from high computational demands, data preprocessing requirements, and noise sensitivity. This research proposes a novel Hierarchical Temporal … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,772 accessesView PDF Cite

Research ArticleOpen accessIn the author namesDNA Yields and PCR Amplification Success Using Degraded Animal CorpsesJimmy Ilunga, Paul Michael, Grace Daniel et al.A recurring problem with ancient specimens from wildlife animals is that their preserved tissues contain small amounts of DNA in a degraded state. The specific objectives of the present study were: (1) To determine DNA yields from different animal tissues; (2) to compare traditional (manual) DNA extraction protocols with commercial procedures and (3) to assess the success of PCR amplification … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 1 · 12 Feb 2020 · 7,479 accessesView PDF Cite