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614 results for “selection”
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Research ArticleOpen accessEvery word in the titleAn Efficient Cluster Head Selection in IoV-Enabled VANETs Using a Federated Diffusion Convolutional Recurrent Neural Networks FrameworkP Subhash, Madana Srinivas, A. Ranjith et al.The IoV enables the formation of VANETs that require a strong selection of CHs for effective communication within high-velocity changing traffic scenarios. Existing approaches often face issues related to scalability, privacy, and adaptability. To meet the aforementioned urgent needs, we design a decentralized scheme for intelligent CH selection based on Federated Learning with Diffusion Convolutional Recurrent Neural Networks (DCRNNs). According … …Journal of Computer Science, Vol. 22, Issue 10 · 1 Oct 2026 · 599 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnsemble Feature Selection for Elderly Health Condition ClassificationRattanawadee PanthongFeature selection is a pivotal technique for constructing classification models with high-dimensional data. It facilitates the identification and elimination of redundant or irrelevant features, thereby reducing model complexity and enhancing predictive accuracy. The success of a classification model largely depends on the quality of the selected features. Accordingly, feature selection is performed during data preparation, prior to data processing, to … …Journal of Computer Science, Vol. 22, Issue 8 · 31 Aug 2026 · 774 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEpileptic Seizure Detection from EEG Signal Using Progressive Channel Selection and Deep LearningSuraiya Akter Mumu, Shupta Das, M. A. H. Akhand et al.Epileptic Seizures (ES), marked by abrupt abnormal electrical discharges in the brain, represent the primary symptom of epilepsy, making timely and accurate detection critical because of their unpredictable recurrence and potentially severe consequences. The Electroencephalogram (EEG), a widely used, non-invasive, and economical method for monitoring brain activity, plays a key role in automated ES detection through Machine Learning (ML) and … …Journal of Computer Science, Vol. 22, Issue 6 · 8 Jul 2026 · 1,393 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation and Selection of Kushum Horses and their Dairy and Meat Productivity by Economic and Useful TraitsAkimbekov Amin, Otebayev Zhassulan, Kurmangali Lailim et al.The research conducted a comprehensive evaluation of the Kushum horse breed based on economically valuable traits, including dairy and meat productivity, with the aim of selecting the most promising animals for further breeding. The research was conducted at two farms in Kazakhstan ("Bereke" and Kulunshak") in 2022-2025. 1084 individual horses were researched, including groups of horses of different intra-breed types. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 2 Jul 2026 · 1,070 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimized Feature Selection for Kidney Ultrasound Image Classification Using Binary Coati Weighted Mean Vector AlgorithmFizhan Kausar, Ramamurthy B.The analysis of medical images presents many challenges, especially when making precise diagnoses. In pediatric Chronic Kidney Disease (CKD), early identification is critical because of its gradual progression to significant kidney failure. This study proposes a diagnostic framework for pediatric ultrasound image classification that incorporated machine learning and advanced feature selection methods. This approach is divided into four stages: Preprocessing, … …Journal of Computer Science, Vol. 21, Issue 12 · 22 Jan 2026 · 1,563 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBlockchain-Enabled Decisive Red Fox Optimizer-Based Feature Selection With Deep Learning-Based Intrusion Detection SystemC. Ananth, S. Sathiyarani, N. MohananthiniRecently, Intrusion Detection Systems (IDS) using Deep Learning (DL) models become useful in accomplishing network security. The selected features serve as input to the DL model, which is trained on labelled datasets to learn intrinsic patterns distinguishing malicious from normal network behaviour. DL techniques like Convolutional Neural Networks (CNN) are usually utilized. The seamless combination of Public Blockchain (BC) technology … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,714 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization-Based Feature Selection and Ensemble Machine Learning Algorithms for Breast Cancer ClassificationSatyabrata Patro, Jyotirmaya Mishra, Bhavani Sankar PandaBreast cancer, which originates in a woman's breast tissue, is acknowledged to be a significant study topic in the medical field. For a long time, there has been a serious concern with the classification of breast cancer. Thus, to effectively categorize the breast cancer dataset, machine learning methods are designed and implemented. In previous research, the algorithms have classification accuracy … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,172 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFactors Affecting the Selection of B2C E-Commerce Website in Vietnam: A Fuzzy AHP AnalysisQuang Hung Do, Duong Quang Khanh, Nguyen Thai SonThe burgeoning B2C e-commerce landscape in Vietnam necessitates a deeper understanding of customer selection criteria to ensure sustained satisfaction and trust. This study addresses this gap by employing a Fuzzy Analytic Hierarchy Process (FAHP) to evaluate B2C e-commerce platforms in Vietnam. The FAHP facilitates the identification of critical factors and sub-factors influencing online customer satisfaction and website selection. We leverage … …Journal of Computer Science, Vol. 21, Issue 1 · 24 Dec 2024 · 5,232 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDental Color Matching: A Comparison between Visual and Digital Shade Selection Repeatability in the Anterior and Posterior Region: A Clinical StudyCarine Mounir Ziadeh, Pascale Habre, Lara Nasr, Helene HaddadThe clinical study aimed to evaluate the repeatability of the Intraoral Scanner (IOS) in terms of dental shade selection in comparison to the visual method and to find if the difference between these two methods is clinically acceptable. As well as to assess the impact of tooth position on the repeatability of the IOS in shade selection. Two experienced raters … …Current Research in Dentistry, Vol. 14, Issue 1 · 28 Apr 2023 · 7,048 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleProductive Traits and Reproductive Capacity of First-Calf Cows at Different Selection OptionsAnuarbek Temirbekovich Bissembayev, Dastanbek Asylbekovich Baimukanov, Orest Antipovich Bassonov et al.The research work is aimed at determining and establishing the degree of influence of various selection options on the productive and reproductive qualities of the first-calf cows of the black-and-white breed. The research results showed that according to the Parental Index of Cows (PIC), animals of the 5th experimental group surpass their mates in the 2 and 3 groups in … …OnLine Journal of Biological Sciences, Vol. 23, Issue 2 · 10 Mar 2023 · 4,737 accessesView PDFCite