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Research ArticleOpen accessIn the abstractAnimal Health Prediction Using Hybrid CNN Based BiLSTM Classification Model: A Deep Learning ApproachJ. Rathi, A. SumathiAccurate prediction of animal diseases is vital in veterinary medicine, as it can substantially enhance animal health outcomes and mitigate economic losses, making it a critical task that warrants attention and innovative solutions. This paper proposes a novel approach to animal condition classification, leveraging an Auto-encoder-based feature selection process and an Improved Hybrid Convolutional Neural Networks (CNN) with Bidirectional (Bi-LSTM) … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,488 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Integrated Probabilistic Optimization for Inventory Control Under Stochastic DemandJanardan BeheraThe identification and operationalization of increasingly nonstationary and volatile demand patterns challenge the conduct of inventory management in contemporary supply chains. The classical models, especially EOQ and static policies, rest on the stability of demand assumptions, either deterministically or distributionally, and are hence less apt under real-world uncertainty. In view of these limitations, the present study puts forward an integrated … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 6 May 2026 · 2,227 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation and Performance Evaluation of YOLOv8 for Wheat Fungal Disease DetectionShivani Sood, Shallu Duggal, Monika Sethi et al.Among the many difficulties in producing wheat, a vital food source for the world, there are biotic variables like fungal diseases, which drastically lower crop output. Around the world, biotrophic fungi particularly, leaf rust, powdery mildew, and yellow rusts-have become a constant threat to wheat production. Traditional methods of identification and mitigation are labor-intensive, slow, and imprecise, limiting therefore early … …Journal of Computer Science, Vol. 22, Issue 4 · 2 May 2026 · 1,609 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized XGBoost for Ethereum Fraud Detection: A Cost-Sensitive ApproachSupriya P., Rubah Sheriff, Shreya Padaki et al.In today’s technologically advancing world, many fields from finance to healthcare and education are shifting toward a digital and decentralized format. A significant transformation is underway with the currency of the masses. Blockchain-based cryptocurrencies like Bitcoin and Ethereum allow users to generate fungible tokens anonymously through smart contracts. However, these features also facilitate illicit transactions and cybercrimes like fraud, phishing, … …Journal of Computer Science, Vol. 21, Issue 12 · 10 Jan 2026 · 2,774 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Blended Learning on Student Performance in Biotechnology CourseZahra Sarabadani, Aydin BerenjianThe present work aims for evaluating the role of blended learning on student engagement and performance in bioreactor design component of the biotechnology course. Interactive online module covering the main fundamental aspects of the subject was developed and made available to students prior to the class. Students who accessed the online module found to be more active in classroom response … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 3 · 25 Aug 2017 · 7,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Exploratory Analysis to Assess Computer Literacy and E-learning Among Students: A Case of Eastern Province of Kingdom of Saudi ArabiaManal Elobaid, Rafida M. ElobaidThe current study investigated the use of ICT within the schools and higher education sectors in the eastern province of kingdom of Saudi Arabia. The objective is to evaluate how computer literacy and the implementation of e-learning could contribute to the learning and teaching process within the education sector in this area. A cross sectional survey was carried out among … …Journal of Computer Science, Vol. 13, Issue 9 · 23 Aug 2017 · 8,199 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Self-Concept Participatory Learning Model for the Improvement of Literacy Skills of the Learners in Community Learning CentresMumun Munawaroh, Dasim Budimansyah, Enceng Mulyana, Ace SuryadiIlliteracy eradication manifests as an important and a common aspect in many countries' development agendas as well as in the United Nation's development initiatives. Indonesia is one of such countries. Based on the data of 2004, Indonesia has at least 28 regencies that still have high illiteracy rates. This condition hinders national growth and development of a country. With a … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 21 Jan 2017 · 7,427 accessesView PDFCite
Research ArticleOpen accessIn the abstractFew-shot Fine-tuning of BERT Multilingual for Hindi Word Sense DisambiguationShailendra Kumar Patel, Rakesh Kumar, Anuj Kumar SirohiWord Sense Disambiguation (WSD) is a fundamental task in Natural Language Processing (NLP), addressing the challenge of identifying correct word meanings in context. This task is particularly complex for morphologically rich and resource-limited languages like Hindi, which exhibit significant lexical ambiguity compounded by limited availability of annotated corpora. To address these challenges, we propose a supervised approach combining the multilingual … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Dec 2025 · 2,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractWIREST LANG LAB: MOBILE PLATFORM LANGUAGE LABORATORY BASED ON REST WEB SERVICEHenry Chong, Hantze Sudarma, Ferdinand Ariandy Luwinda et al.Problem statement: Language Lab plays crucial role in learning foreign language. With its capability to create environment of connecting students with students, connecting student with teacher and giving the impactful learning resources, some of institution are dare to invest of expensive system. Hence, some of them keep searching for more efficient way to learning language. In this study, based on … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Dec 2014 · 7,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractADOPEL: ADAPTIVE DATA COLLECTION PROTOCOL USING REINFORCEMENT LEARNING FOR VANETSAhmed Soua, Hossam AfifiEfficient propagation of information over a vehicular wireless network has usually remained the focus of the research community. Although, scanty contributions have been made in the field of vehicular data collection and more especially in applying learning techniques to such a very changing networking scheme. These smart learning approaches excel in making the collecting operation more reactive to nodes mobility … …Journal of Computer Science, Vol. 10, Issue 11 · 22 Jul 2014 · 8,418 accessesView PDFCite