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53 results for “Mobile learning”
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Research ArticleOpen accessEvery word in the titleOptimizing KNN for Face Recognition and Location Detection in Mobile Employee Attendance Systems Using Machine LearningPainem, Hari Soetanto, Achmad Solichin, Ibnu RamadhanEmployee attendance is critical to company operations, particularly for firms involved in ATM installations collaborating with banks. An effective attendance system enables bank vendors to verify the completion of ATM installations. The current attendance method employed by the company requires employees to send photos of themselves with the installed ATM, including the machine number and installation location. The company's admin … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 5,989 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproving the Exploration Strategy of an Automated Android GUI Testing Tool based on the Q-Learning Algorithm by Selecting Potential ActionsGoh Kwang Yi, Salmi Binti Baharom, Jamilah DinResearchers have proposed automated testing tools to minimise the effort and resources spent on testing GUIs. A relatively simple strategy employed by the proposed tools thus far is the observe-select-execute approach, where all of a GUI’s actions on its current state are observed, one action is selected and the selected action is executed on the software. The strategy’s key function … …Journal of Computer Science, Vol. 18, Issue 2 · 2 Mar 2022 · 6,783 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Q-Routing Protocol Using Self-Aware Approach for Mobile Ad hoc NetworksAmal Alharbi, Abdullah Al-Dhalaan, Miznah Al-RodhaanMobile Ad hoc Networks (MANET) are self-organized networks that are characterized by dynamic topologies in time and space. This creates an instable environment, where classical routing approaches cannot achieve high performance. Thus, adaptive routing is necessary to handle the challenges in MANETs. Furthermore, it is necessary for nodes to be self-aware i.e., able to discover neighbors, links and paths when … …American Journal of Applied Sciences, Vol. 12, Issue 12 · 7 Dec 2015 · 6,463 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStudent's Mobile Information Prototype for the Higher Education EnvironmentNaji Shukri Alzaza, Abdul Razak YaakubProblem statement: M-learning is considered as the next form of e-learning using mobile technologies to facilitate education for teachers and learners. Students need to keep in touch with their education services anytime regardless the place. Engaging the m-learning services in the Malaysian higher education will improve the availability of education. This study discusses the development and user’s evaluation of Student’s … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 26 Jan 2011 · 8,766 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Performance Study of Reactive Multicast Routing Protocols in Virtual Class Room Using Mobile Ad Hoc NetworkS. Vijayaragavan, K. Duraiswamy, B. Kalaavathi, S. MadhaviProblem statement: A great deal of excitement has recently propelled Mobile Learning to the forefront of educational technology. The exponential growth of mobile technology in the recent years, increase in the availability of high-bandwidth network, advances in wireless technologies and popularity of handheld devices, have opened up new accessibility opportunities for education. Approach: Virtual class room using MANET had been … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,875 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSMS for Question-Answering in the m-Learning ScenarioS. R. Balasundaram, B. RamadossEmerging technologies are leading to the development of several new opportunities to guide and enhance learning that were unimaginable a few years ago. The move towards adopting mobile learning technologies is fast growing in both academic and industrial sectors. Mobile learning uses portable devices linked to a commercial public network, including different types of mobile phones and handheld computers. For … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,445 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid Optimize Strategy based QoS Route Algorithm for Mobile Ad hoc NetworksFu Peng, Zhang DeyunIt is very difficult to find feasible QoS (Quality of service) routes in the mobile ad hoc networks (MANETs), because of the nature constrains of it, such as dynamic network topology, wireless communication link and limited process capability of nodes. In order to reduce average cost in flooding path discovery scheme of the traditional MANETs routing protocols and increase the … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 6,546 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,788 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 733 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