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Research ArticleOpen accessIn the abstractMultiple Linear Regression to Predict Electrical Energy Consumption Based on Meteorological Data: Application to Some Sites Supplied by the CEB in TogoApaloo Bara Komla Kpomonè et al.The prediction model developed in this article is based on the use of meteorological variables to estimate the consumption of electrical energy at the substations of the Electric Community of Benin. The objective is to predict this consumption in order to adapt production to it. The posts (Lomé Aflao, Légbasito, and Lomé port) are the targets that were used in … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 10 Jun 2024 · 5,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Disease Index Based on Multi-Spectra of UAV to Estimate Cotton DiseaseBing Chen, Jing Wang, Qiong Wang et al.Verticillium wilt is a significant disease that affects cotton plants, which can lead to stunted growth and reduced yield. To address this, a multi-spectral comprehensive monitoring disease index model is developed using an Unmanned Aerial Vehicle (UAV) to monitor the severity of cotton Verticillium wilt. First, multi-spectral dates were collected from Hexacopter (HY-6X) and the phenotype disease grade of cotton … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 25 Mar 2024 · 5,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Model of Cyber Extremists' Rhetorical Structure Towards Protecting Critical InfrastructureOsman Khairunnisa, Jano Zanariah, Ahmad RabiahMuch research at present focuses on the ways in which organizations secure their networks and information in the supply chain, ignoring the ways in which organizations construct and understand the core of the cybersecurity risks. Cybersecurity focuses more on defense mechanisms such as anti-virus software, malware protection, firewall and more on securing network and application. More research to understand extremist … …Journal of Computer Science, Vol. 20, Issue 6 · 14 Mar 2024 · 5,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractTesting React Native Mobile Apps: Pruning GUI Model ApproachRand Marwan Khalil Ibrahim, Samer ZeinThe mobile app market is still in continual growth. People are migrating to smartphone mobile devices to accomplish their daily activities while working, playing, and communicating with others. From the developers' perspective, there exists a wide variety of platforms, technologies, and architecture choices for developing and testing mobile apps. However, because of the constant changes in software applications and the … …Journal of Computer Science, Vol. 20, Issue 6 · 12 Mar 2024 · 6,070 accessesView PDFCite
Research ArticleOpen accessIn the abstractLess Biased Approach for Sandstone Pore SegmentationDaffa Abiyyu Murtadha Kurnia, Iman Herwidiana KartowisastroReservoir characterization is a fundamental process in estimating reserves within petroleum and hydrogeological systems, where the precise determination of pore space dictates the validity of fluid flow models. Although X-Ray Computerized Tomography (XRCT) has become the standard non-destructive evaluation method for visualizing the internal structure of rocks, the data interpretation process still faces challenges during the image segmentation stage. Conventional … …Journal of Computer Science, Vol. 22, Issue 6 · 15 Jun 2026 · 1,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrom Digital Engagement to Social Welfare: Measuring the Impact of the mSmart Application in a Developing RegionHendro Nindito, Evaristus Didik Madyatmadja, Siti Elda Hierra, MaryaniThe mSmart platform, introduced as a pilot initiative in Labuan Bajo, Indonesia, was developed to strengthen community participation in local digital services. This study explores the extent to which the application delivers social value to its users and the broader community. Guided by the Information Systems Success Model (ISSM) and the WebQual framework, the research focuses on three main factors: … …Journal of Computer Science, Vol. 22, Issue 5 · 25 May 2026 · 1,228 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Learning Platform for Computer Numerical Control (CNC) LaboratoryCharinee Chaichana, Seetala Wongkalasin, Apichat SanrutsadakornInformation Technology has played a major role in education. Rajamangala University of Technology, Isan Sakonakhon Campus, is committed to promoting a 21st Century education. For example, the university provides an environment that supports this development by integrating the use of Computer Numerical Control (CNC) in teaching practices. The model of CNC machines used in teaching and learning is outdated though, … …Journal of Computer Science, Vol. 18, Issue 8 · 4 Aug 2022 · 6,951 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Binary and Ternary Models in Powder Packing Density for Additive Manufacturing ApplicationsTaher M. Abu-Lebdeh, Oluwatobiloba Adetokunbo KalejaiyePowder packing is a very important aspect of additive manufacturing (3-D printing), as it directly impacts the final physical and mechanical properties of the printed objects. Improving the packing density of powder directly impacts the microstructure of the finished 3D-printed product, which also contributes to the surface finish. In order to achieve the densest packing for a powder, different sizes … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 15 Jun 2021 · 7,275 accessesView PDFCite
Research ArticleOpen accessIn the abstractSocial Media-Facilitated Programming: An ARG Model for Collaborative ProgrammingAhmad Al-Jarrah, Abdel Karim Baareh, Ahmad Smadi, Roba JabaliInternet-based tools and social media are greatly developed in the tech world. Today, technology is widely accepted and used by all generations. These tools are great and very useful for students in terms of learning, collaboration and information sharing. We aim to present a model for learning programming in social learning environments with the context of the Affinity Research Group … …Journal of Computer Science, Vol. 17, Issue 4 · 15 Apr 2021 · 7,017 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine-Tuned MobileNet Classifier for Classification of Strawberry and Cherry Fruit TypesVenkatesh, Nagaraju Yallappa, Siddhanth Udayashankar Hegde, Sangeetha Raj StalinThis paper proposed an accurate, fast and reliable strawberry, cherry fruit detection and classification system for the automated strawberry cherry yield estimation. State-of-the-art deep learning-based fine-tuned MobileNet Convolutional Neural Network is developed to detect and classify strawberry and cherry fruit types in the outdoor field. The proposed CNN model is trained on 4250 strawberry fruit images, 3878 Cherry fruit images … …Journal of Computer Science, Vol. 17, Issue 1 · 20 Jan 2021 · 7,953 accessesView PDFCite