Research ArticleOpen accessIn the keywordsIndividualization Training of Players on Positions at the Level of Handball Junior TeamsPitigoi GabrielProblem statement: Starting from the observation that for the handball players, who finished the junior state in hard to integrate in senior teams due to a low level of preparation. I hypothesized that at this level we can use all organizational forms of individual training (frontal relation, group level, individual).Using individual records, performance behavior characteristics of the players to positions, … …Journal of Social Sciences, Vol. 7, Issue 3 · 16 Jul 2011 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnderstanding Artificial Intelligence Adoption in Vietnam: An Organizational-Level AnalysisDuong Quang Khanh, Nguyen Thi Van Anh et al.This study examines the level, determinants, and perceived outcomes of Artificial Intelligence (AI) adoption in Vietnamese organizations using survey data from 142 employees and managers across multiple sectors. Descriptive statistics, t-tests, ANOVA, and multiple regression were applied to analyze sectoral differences, the role of training, and predictors of AI-enabled work performance. The results show a moderate-to-high level of AI adoption, … …Journal of Computer Science, Vol. 22, Issue 5 · 23 May 2026 · 1,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing N-linked Glycosylation Site Prediction in Human Proteins with Ensemble Stacking and Cross-ValidationMubina Malik, Jaimin UndaviaThe most frequent post-translational modification of proteins in all territories is glycosylation which impacts many biological activities. The most significant and critical of these modifications is N-linked glycosylation which is associated with various human diseases including diabetes cancer Inflammation Alzheimers and atherosclerosis. This article illustrates recent advances in knowledge of biology that are eventually targeting the computer science sector. Moreover-identification … …Journal of Computer Science, Vol. 20, Issue 12 · 20 Nov 2024 · 5,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractMoney Laundering Detection in Financial Institutions Using Machine LearningNoor Samer Masood, Rasha Hassan Sakr, Amal Abou EleneenThis research aims to develop a system based on machine learning techniques for the accurate detection and classification of money laundering transactions. This system utilizes real and synthetic financial data, including the IBM AML dataset and synthetic financial databases. The methodology included data collection and cleaning, feature extraction from transaction behavior, and training several classification algorithms, including Random Forest, Support … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 2,333 accessesView PDFCite
Research ArticleOpen accessIn the abstractPHASEY: A Contrastive Learning Approach for Enhanced Human Gait Phases RecognitionUrvashi, Deepak Kumar, Vinay Kukreja, Ayush DograHuman gait has gained much attention in behavioral biometrics as it possesses unique and distinctive characteristics. Gait phases, which describe the different patterns of human walking, are significant for the analysis and understanding of movement in an individual. Hence, the identification of gait phases is important for the accurate determination and interpretation of walking patterns, ranging from healthcare and security … …Journal of Computer Science, Vol. 21, Issue 8 · 16 Sep 2025 · 4,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractFall Detection Using the Histogram of Oriented Gradients and Decision-Based FusionMohamed Maher Ben Ismail, Arwa AlGabas, Ouiem BchirAs the number of fall incidents among elderly people and patients are continuously growing, researches boosted their researches to propose efficient automatic fall detection systems. In particular, they formulated the fall detection problem as a supervised learning task where some visual features are extracted from the video frames and used to automatically identify the position of a human as “Fall” … …Journal of Computer Science, Vol. 16, Issue 2 · 26 Feb 2020 · 7,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractKenyan Sign Language Translation Using SSD MobileNet-v2 FPNlite ModelHenry Muchiri Muriithi, Geoffrey Kasembeli WanjalaSpeech impairment is a disability that impacts an individual's ability to communicate effectively through speech and hearing. Those affected often rely on alternative forms of communication, such as sign language. While sign language has become increasingly widespread in recent years, a significant challenge persists for non-sign language users, particularly in Kenya, where effective communication with sign language users remains a … …Journal of Computer Science, Vol. 21, Issue 1 · 24 Dec 2024 · 5,607 accessesView PDFCite
Research ArticleOpen accessIn the abstractGender Classification from Face and Eyes Images Using Deep Learning AlgorithmZahraa Salam Abu Ghrban, Nidhal Khdhair EL AbbadiGender classification provides additional information about the individual’s identity, which is crucial in surveillance, smart interface, and smart advertising, it is a very important aspect of face analysis that has piqued the interest of researchers in areas such as demographic information collection, surveillance, human-computer interaction, marketing intelligence, security, etc. Usually, facial images are used to extract features for classification. This … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 6,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermining the Time Required to Detect Induced Sow Lameness Using an Embedded Microcomputer-Based Force Plate SystemBrady McNeil, Julia Calderón Díaz, Caitlyn Bruns et al.Lameness in swine breeding herds is a common cause of compromised animal well-being and economic loss to pig producers. Current lameness assessment methods are subjective and require intensive training. It has been shown that embedded microcomputer-based force plate systems can detect lameness by measuring weight distributions in livestock. The objective of this study was to determine the minimum time required … …American Journal of Animal and Veterinary Sciences, Vol. 13, Issue 2 · 25 May 2018 · 7,616 accessesView PDFCite
Review ArticleOpen accessIn the abstractThe Three Dimensional Role of Education for Women EmpowermentYilikal Muche EngidaEducation is the most essential prerequisite for any person and a constitutional right. It helps the person minimize inequality and plays a central role in human development that influences the overall growth of the social economy. The empowerment of women is the key mechanism for achieving gender equality, which is apprehended as meaning that individual' obligations, freedoms and opportunities do … …Journal of Social Sciences, Vol. 17, Issue 1 · 16 Mar 2021 · 9,341 accessesView PDFCite