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Research ArticleOpen accessPhrase in the titleAnalysis of Resistance to Human Immunodeficiency Virus Protease Inhibitors Using Molecular Mechanics and Machine Learning StrategiesA. Harishchander, D. Alex Anand, Sanjib SenapatiProblem statement: Drug resistance is the most important factor, which influences the failure of current HIV therapies. So, the ability to predict the drug resistance of HIV-1 protease mutants will be useful in developing more effective and longer lasting treatment regimens. Approach: Drug resistance of HIV-1 protease is predicted with two current protease inhibitors (Indinavir and Saquinavir). The problem was … …Current Research in Medicine, Vol. 1, Issue 2 · 31 Oct 2010 · 7,204 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparison Study between Different Sampling Strategies for Intrusion Detection System of Active Learning ModelGhofran Mohammad Alqaralleh, Mohammad Aref Alshraideh, Ali AlrodanActive learning aims to train an accurate model with minimum cost by labeling the most informative instances without compromising the model performance. So, choosing an efficient criterion for instance selection is the most important step. Sampling stage is the main issue in active learning for many problems such as intrusion detection system. There are many methods for sampling stage to … …Journal of Computer Science, Vol. 14, Issue 8 · 26 Aug 2018 · 8,183 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDesign Strategies to Persuasive Learning for Promoting Sustainable Practices in Paddy FarmingZakirah Othman, Amran MuhammadProblem statement: Public awareness of sustainable agriculture is low, especially in organic paddy practices. As alternative, introducing Information and Communication Technology (ICT) application like electronic learning is an effective way to educate and promote the young generation to appreciate sustainable agriculture. Therefore, the main objective of this study is to discuss a design of a prototype of persuasive learning in … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 7,399 accessesView PDFCite
Review ArticleOpen accessIn the keywordsEffective Strategies for Promoting Foundational Literacy and Numeracy in Early Childhood EducationNimish Vasoya, Rajesh VansdadiyaAbstract: This research article explores effective strategies for promoting foundational literacy and numeracy in early childhood education. The abstract can be improved by enhancing its clarity, structure, and depth: Many children encounter challenges with foundational literacy and numeracy skills during their initial years of schooling, impacting their overall academic success. Through an extensive review of existing literature, this study identifies … …Journal of Social Sciences, Vol. 19, Issue 1 · 25 Oct 2023 · 9,164 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRelationship between Self-Regulated Learning and Academic ProcrastinationYap Li San, Samsilah Bte Roslan, Fatemeh SabouripourThis study aims to investigate the relationship between the components of motivation in self-regulated learning as well as the components of learning strategies in self-regulated learning and academic procrastination. Academic procrastination creates problems for undergraduates such as stress and poor academic performance which should be investigated as a serious issue in the educational context. The participants in this study included … …American Journal of Applied Sciences, Vol. 13, Issue 4 · 2 May 2016 · 12,211 accessesView PDFCite
Research ArticleOpen accessIn the keywordsShakespeare and Literacy: A Case Study in a Primary ClassroomGeorge BelliveauProblem statement: Childhood is an integral time for literacy development and the aim of this article is to closely examine what pedagogical strategies were most effective to promote literacy learning with a group of six to nine year old children. This case study investigates how the use of specific literacy and drama-based strategies prepared and stimulated young children’s understanding and … …Journal of Social Sciences, Vol. 8, Issue 2 · 18 Feb 2012 · 9,335 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWeb-Facilitated Learning for Bioethics Principles on Human Dignity and Human RightsRavichandran Moorthy, Novel Lyndon, Sivapalan SelvaduraiProblem statement: With the advent of globalization Information and Communication Technology (ICT), web-facilitated learning strategy had taken an important role in the learning and teaching process. This study examines how bioethics principles on human dignity and human rights can be learned through web-facilitated learning strategies among tertiary level international relations students. Bioethics was an emerging field that concerns states and … …Journal of Computer Science, Vol. 8, Issue 2 · 23 Nov 2011 · 7,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Driven Visual Communication Strategies for Enhancing Engagement in Smart Hospitality PlatformsYudhiet Fajar Dewantara, Yana Erlyana, Lim Jing YiThe rapid evolution of Smart Hospitality has reshaped how tourists interact with service providers. Visual communication plays a pivotal role in influencing engagement, yet most digital content remains generic, limiting brand resonance. This study investigates AI-driven visual communication strategies to enhance engagement by bridging computer science and design communication. A mixed-method approach was employed, starting with the analysis of 120 … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 677 accessesView PDFCite
Review ArticleOpen accessIn the abstractHuman Activity Recognition at the Edge: A Systematic Review of Machine Learning Models, Deployment Constraints, and Latency Energy Accuracy Trade offsJose Antonio Rojas Guillén, Wini Ebelin Quispe Bautista, Arturo Gamarra MorenoHuman Activity Recognition (HAR) has become a key component of intelligent healthcare monitoring, assisted living, sports analytics, smart environments, and wearable computing. However, the migration of HAR models from cloud-centered architectures to edge, embedded, mobile, and wearable platforms introduces constraints related to computational capacity, memory footprint, battery consumption, inference time, and real-time responsiveness. This study presents a systematic literature review … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 593 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