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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 · 7,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractHardware and Software Components of an Oysters' Gape Measurement SystemAmin Ali, Kamal Ali, Aaugustine Ukpebor et al.In this work, the hardware and software used in developing a bivalve gape measurement system is explored. This system employs the Hall-effect phenomenon to accurately measure and report the gape of a bivalve. The system uses a Hall Effect sensor (Symmetry Electronics’ H2425) and a small magnet in which both are glued to the exterior of the shells of a … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 3 · 7 Sep 2019 · 8,767 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards a Generic Multimodal Architecture for Batch and Streaming Big Data IntegrationSiham Yousfi, Maryem Rhanoui, Dalila ChiadmiBig Data are rapidly produced from various heterogeneous data sources. They are of different types (text, image, video or audio) and have different levels of reliability and completeness. One of the most interesting architectures that deal with the large amount of emerging data at high velocity is called the lambda architecture. In fact, it combines two different processing layers namely … …Journal of Computer Science, Vol. 15, Issue 1 · 31 Jan 2019 · 7,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Agent Energy Allocation Optimization in Local Energy Communities: A Comparative StudyAmira Dhorbani, Dhaker Abbes, Benoît Robyns, Kahina Hassam OuariThe growing diversity of energy demands, combined with the integration of renewable and distributed energy systems, calls for more adaptive energy management strategies. This study presents a comparative simulation-based analysis of three energy management approaches applied to a local energy community: A Multi-Agent System (MAS), a centralized rule-based method, and a game-theory-based optimization using the Alternating Direction Method of Multipliers … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 30 Dec 2025 · 3,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment and Validation of a 2D Finite Element Model for Air Pollution Dispersion (SUITE-2D)Youssef Ismail HafezThis paper presents the development and validation of SUITE-2D (Solving Unsteady Incompressible Transport Equation in Two Dimensions), a two-dimensional finite element model for solving the advection-diffusion transport equation with decay and source terms. The model provides an efficient and accurate approach for simulating pollutant dispersion in environmental systems. The finite element formulation uses the standard Galerkin method, with numerical integration … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 22 Dec 2025 · 3,133 accessesView PDFCite
Research ArticleOpen accessIn the abstractProbe-based Semi-permanent Soil Humidity SensorSoobin Jeon, Dongmahn SeoThe modern agricultural environment has the problems of an aging rural population and a decreasing rural labor population. Recently, smart farms based on information and communication technology have been studied to address environmental issues in agriculture. The smart farm consists of three parts: a data collection unit, a processing unit, and a control unit. Among them, the data collection unit … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 1,929 accessesView PDFCite
Research ArticleOpen accessIn the abstractFedCarepod: Federated Quantum Transfer Learning Approach in Screening Process for Early Detection of Liver AbnormalitiesK MalaThe liver is the most frequently injured intra-abdominal organ that leads to complications. Visual interpretation depends on the expertise, and this justifies the need for automatic accelerated assistive prediction system. Classical and Quantum machine learning approaches are combined to leverage their benefits, and the feasibility of designing a novel system is explored. This approach successfully ends up with health care … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,076 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Cloud Computing for Intelligent Network Management in Smart UniversitiesSitthichai Kao-Ngam, Charuay Savithi, Naruemon PantuchaCloud computing has emerged as a transformative technology that enables users to access shared services over the Internet. Its functions include data storage, processing, and resource management through powerful hardware and effective safeguards. This study uses cloud computing to improve network performance management at Mahasarakham University (MSU), Thailand. The study emphasizes the use of cloud-based tools to improve intelligent network … …Journal of Computer Science, Vol. 21, Issue 9 · 27 Oct 2025 · 2,916 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Augmented Reality (AR) and Virtual Reality (VR) in Urban Heritage Tourism: A Study on Adoption and Communication ChallengesWinne Wardiani, Agus Rusmana, Ninis Agustini Damayani, Ute Lies Siti KhadijaHeritage tourism has become the fastest-growing segment of tourism that offers authentic value-add to homogenized experiences worldwide. This topic has drawn increasing attention from scholars and academics over the past five years. This paper aims to map research trends in urban heritage tourism, exploring the paradox between Augmented Reality (AR) and Virtual Reality (VR) in marketing communication. The study uses … …Journal of Computer Science, Vol. 21, Issue 8 · 10 Oct 2025 · 3,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Feature Reduction Techniques for Enhanced Network Threat Detection in Wireless Sensor NetworksBikash Kalita, Satyajit SarmahThe security of Wireless Sensor Networks (WSNs) is currently seriously threatened by numerous threats. Consequently, a number of applications are offered to regulate data and information sharing along with the related security features that need to be maintained throughout data transfer. This study suggests an intelligent feature reduction methodology based on machine learning that uses Modified Principal Component Analysis (MPCA) … …Journal of Computer Science, Vol. 21, Issue 8 · 10 Oct 2025 · 2,295 accessesView PDFCite