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38 results for “Self-Training”
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Research ArticleOpen accessEvery word in the titleIMPACT OF PHYSICAL TRAINING ON SELF-CONFIDENCENorsyahrina Abd Manaf, Bahaman Abu Samah, Nobaya Ahmad et al.As well as having a positive impact on our health, physical activity is useful for increasing self-confidence. In Malaysia, many physical programs have been organized, including the physical activities module included in Program Latihan Khidmat Negara (PLKN; the national services program). Unlike other modules, the physical activities module in PLKN is quite different due to the longer period it takes … …Journal of Social Sciences, Vol. 9, Issue 2 · 20 Aug 2013 · 8,186 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimized Feature Selection Approach for Semi-Supervised Sentiment Analysis of E-Commerce FeedbackAlok Kumar Jena, Kakita Murali Gopal et al.In this globalized world, people prefer to buy products online without any hesitation. Usually, to acquire the quality of the product or brand, they examine the product’s reviews, which is a tedious job to do manually. The wide use of social media also encourages the users, to keep their views on the product in a global platform. By using machine … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,179 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Integrated Framework for Mixed Data Clustering Using Self Organizing MapHari Prasad Devaraj, M. PunithavalliProblem statement: Clustering plays an important role in data mining of large data and helps in analysis. This develops a vast importance in research field for providing better clustering technique. There are several techniques exists for clustering the similar kind of data. But only very few techniques exists for clustering mixed data items. This leads to the requirement of better … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 7,304 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Adversarial Attacks: ML Techniques, Classification and CountermeasuresBhavesh Kumar Sharma, Sanatan Ratna, Rajiv KumarMachine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have been applied in high-stake applications, and have been found to be fragile through adversarial attacks-, maliciously crafted small distortions that fool models into making mistakes. From the pioneering work by Szegedy et al. … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractICT-Based Blended Learningin the Information Age: AnApproach for Enhanced Learning MotivationFayez Khazalah, Yousef Aljaraideh, Anas Husain, Ahmad RabeeBlended Learning (BL) learning has emerged as a transformative approach in higher education, combining traditional face-to-face instruction with the advantages of online learning to enhance the educational process. BL has recently relied on Information and Communication Technology (ICT) to facilitate its implementation and usefulness. This study relies on Self-Determination Theory (SDT) to demonstrate the potential of ICT-based BL to support … …Journal of Computer Science, Vol. 21, Issue 12 · 26 Jan 2026 · 1,575 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelf-Supervised Contrastive Learning for Steering Angle Prediction in Autonomous Driving SimulationsMaxson Phang, Suryadiputra LiawatimenaPredicting steering angles is a crucial task in autonomous driving, with end-to-end deep learning being a widely used approach. However, such models often suffer from overfitting to learned trajectories, limiting their generalization to new data. To address this, self-supervised contrastive learning is explored as an alternative, allowing models to learn meaningful representations without labeled data. The primary objective is to … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractAudit of the Quality of Data on Human Immunodeficiency Virus Infection in 2022 in Burkina FasoIsmaël Diallo, Maurice Sarigda et al.Burkina Faso pledged to reach the worldwide objective of eliminating HIV/AIDS by 2030. Therefore, its information system must be able to provide quality data for monitoring and evaluating progress. This study assessed the quality of data on HIV/AIDS in Burkina Faso. We conducted an audit on the promptitude, exhaustivity, and exactitude in the management of data regarding HIV/AIDS. The survey … …American Journal of Infectious Diseases, Vol. 21, Issue 1 · 5 Jul 2025 · 5,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractCompliance with Standard Precautions Among Nurses in Buraidah Health Care Settings. Buraidah, Saudi ArabiaAbdulaziz Mohammed Alharbi, Amen Ahmed Bawazir, Hassan NondoThis study was designed to determine the knowledge, compliance, and self-efficacy of standard precautions among nurses in Buraidah healthcare settings in Saudi Arabia. A cross-sectional study was conducted among 420 qualified nurses with over one year of working experience in the selected health setting. A structured self-administered questionnaire was used for data collection, including sections related to knowledge, compliance, and … …American Journal of Infectious Diseases, Vol. 19, Issue 3 · 7 Oct 2023 · 6,863 accessesView PDFCite
Research ArticleOpen accessIn the abstractRemote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning TechniquesMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariThis study investigates the classification of aerial images depicting transmission towers, forests, farmland, and mountains. To complete the classification job, features are extracted from input photos using a Convolutional Neural Network (CNN) architecture. Then, the images are classified using Softmax. To test the model, we ran it for ten epochs using a batch size of 90, the Adam optimizer, and … …Journal of Computer Science, Vol. 21, Issue 3 · 11 Feb 2025 · 10,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractKnowledge, Training Status and Willingness to Implement Cardiopulmonary Resuscitation of Medical University Students in Chongqing, ChinaHuixian Zhou, Chuan Pu, Feng Chen et al.Timely bystander Cardiopulmonary Resuscitation (CPR) is key to improving survival from out-of-hospital cardiac arrest. Medical university students are potential bystander CPR providers. This study aimed to identify the current level of CPR knowledge, the present status of training and factors affecting the willingness to perform CPR among medical university students in Chongqing, China. Random sampling method was used and a … …Journal of Social Sciences, Vol. 17, Issue 1 · 5 Apr 2021 · 7,607 accessesView PDFCite