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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 · 1,481 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 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 · 9,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuay Crane Scheduling in Container Terminals Using a Hybrid Genetic AlgorithmAidi Sanaa, Torbi Imane, Mazouzi MohamedContainer terminals are crucial nodes within the global supply chain, playing a vital role in the efficient movement of goods. Effective scheduling of Quay Cranes (QCs) is a key factor in maximizing port productivity and minimizing delays. This research investigates the Quay Crane Scheduling Problem (QCSP) using a Hybrid Genetic Algorithm (HGA). The proposed HGA method combines the exploratory power … …Journal of Computer Science, Vol. 21, Issue 1 · 26 Dec 2024 · 6,007 accessesView PDFCite
Review ArticleOpen accessIn the abstractFemale Sex Hormones Contribute to Vulnerability to Athero-Sclerosis: Overview of Mechanisms and Specific Risk FactorsAnastasia Vladimirovna Poznyak, Victoria Alexandrovna Khotina, Alexandra Alexandrovna Melnichenko et al.Atherosclerosis poses a significant challenge to the general population, with its prevalence particularly prominent among older individuals. Age, however, is not the sole determinant of risk, as gender also plays a crucial role. Sex-related disparities exist not only in the incidence of atherosclerosis but also in its progression and development. The intricate interplay of hormones in the female reproductive system … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 11 Jan 2024 · 4,633 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOVID-19 and Cause-Seeking. An Exploratory Study in ItalyMaurizio Norcia, Elisa ColìIn 2020, over 2 million Italian people contracted the SARS-CoV-2 virus. A pandemic of this magnitude and the very stringent countermeasures that have been adopted had a disruptive effect on people's lives, at a psychological, social, and economic levels. The exploratory study illustrated in this article focuses on the search for causes carried out by people and prompted by the … …Journal of Social Sciences, Vol. 18, Issue 1 · 10 Jan 2023 · 5,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractModified ACS Centroid Memory for Data ClusteringAyad Mohammed Jabbar, Ku Ruhana Ku-Mahamud, Rafid SagbanAnt Colony Optimization (ACO) is a generic algorithm, which has been widely used in different application domains due to its simplicity and adaptiveness to different optimization problems. The key component that governs the search process in this algorithm is the management of its memory model. In contrast to other algorithms, ACO explicitly utilizes an adaptive memory, which is important to … …Journal of Computer Science, Vol. 15, Issue 10 · 11 Oct 2019 · 7,641 accessesView PDFCite
Research ArticleOpen accessIn the abstractConcordance and Term Frequency in Analyzing API Calls for Malware Behavior DetectionNur Hilda Amira Abd Wahab, Masnizah Mohd, Ravie Chandren Muniyandi et al.Application Programming Interface (API) is used for the software to interact with an operating system to do certain task such as opening file, deleting file and many more. Programmers use this API to make it easier for their program to communicate with the operating system without having the knowledge of the hardware of the target system. Malware author is an … …Journal of Computer Science, Vol. 15, Issue 9 · 25 Sep 2019 · 7,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractDPSA: Deterministic Parallel Search Algorithm in Large DatabaseSami Qawasmeh, Arwa ZabianThe main goal of parallel processing is to reduce the complexity of finding a solution for a problem. In this study, we consider the problem of searching for multiple items at the same time in a large database. We propose a parallel search algorithm that reduces the searching time in comparison to binary search algorithm saving in that the time … …Journal of Computer Science, Vol. 13, Issue 9 · 6 Sep 2017 · 7,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractMolecular Docking of New Active Compounds Towards the Acetylcholinesterase EnzymeLemaoui Tarek, Hammoudi Nour El Houda, Benguerba Yacine, Attoui AyoubMolecular docking is a key instrument in structural molecular biology and computer-assisted drug design. The objective of ligand-protein docking is to expect the main binding mode(s) of a ligand with a protein of known three-dimensional structure. Effective docking methods search high-dimensional spaces effectively and finding a scoring function that correctly ranks candidate dockings (Morris et al., 2008). In this study … …Current Research in Bioinformatics, Vol. 8, Issue 1 · 27 Feb 2020 · 11,404 accessesView PDFCite