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65 articles for “Experimentation”
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Research ArticleOpen accessIn the keywordsILLUMINANCE EVALUATION AND ASSESSMENT AT THREE ELEMENTARY SCHOOLSAhmed Cherif Megri, Yao Yu, Akeel Sobers, Alyssa CooperA simplified model for illuminance prediction has been developed to estimate the indoor level of lighting under artificial lighting. As well, illuminance in several locations of three schools has been measured under several conditions: Blinds up/lights on, blinds up/lights off, blinds down/lights on, blinds down/lights off. The experimental data of the case &#34blinds down/lights on&#34 has been compared to the … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 27 Mar 2014 · 7,860 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Lightweight PyBullet-Based Framework for Fast Reinforcement Learning Prototyping on 6-DOF Robotic ArmsNgoc Kim Khanh Nguyen, Anh Thu Mang, Quang NguyenControlling 6-Degree-of-Freedom (6-DOF) robotic arms for precise manipulation tasks is challenging due to kinematic redundancy and the complexity of existing simulation environments like MuJoCo or ROS-Gazebo. This paper presents ArmReach6DOFEnv, a lightweight, open-source simulation framework built on PyBullet for rapid Reinforcement Learning (RL) prototyping on 6-DOF robotic arms. Using a Universal Robot Description Format (URDF) model, the environment supports a … …Journal of Mechatronics and Robotics, Vol. 9, Issue 1 · 11 Feb 2026 · 3,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,228 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Machine Learning Algorithm for Resilient Higher-Order Mutant GenerationSubhasish Mohanty, Jyotirmaya Mishra, Sudhir Kumar Mohapatra et al.In the field of software engineering, ensuring the reliability androbustness of software is paramount, and software testing plays a criticalrole in this process. Mutation testing, a fault-based technique, evaluates theeffectiveness of test suites by introducing artificial defects, known asmutants, into programs. This research presents a novel method forgenerating higher-order mutants (HOMs) using the Chemical ReactionOptimization (CRO) algorithm, which enhances the … …Journal of Computer Science, Vol. 21, Issue 5 · 20 May 2025 · 8,255 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Attention-Based Stacked Bi-LSTM Model for Automated MultiImage CaptioningPaspula Ravinder, Saravanan SrinivasanIn recent days, the process of medical image captioning is become a prominent field. The distinct characteristics of medical imaging data provide a number of challenges when captioning medical images. Also, the variability in image modalities makes it difficult to generate an effective captioning process. Thus, the proposed study aims to design a novel Multi-image Captioning Hybrid Attention Model to … …Journal of Computer Science, Vol. 21, Issue 4 · 8 Mar 2025 · 5,171 accessesView PDFCite
Research ArticleOpen accessIn the abstractStroke Risk Assessment with Classical ML MethodsMohammad Aref Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh et al.Stroke, often caused by a disruption in the supply of essential oxygen, blood, and nutrients to the brain, represents a significant global health challenge. Due to limited resources, developing countries like Ethiopia face unique obstacles in identifying and treating strokes. This study explores the potential of Machine Learning (ML) techniques to predict stroke risk and facilitate early detection and intervention. … …Journal of Computer Science, Vol. 21, Issue 1 · 18 Dec 2024 · 4,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractIsolation and Culture of Oocytes from Dairy Cows' Ovaries for Productivity in the Southeastern Region of KazakhstanDauren Maratovich Bekenov, Batyrkhan Azimkhanovich Buralkhiev, Yusupzhan Artykovich Yuldashbayev et al.This research work aims to study methods for isolating and culturing follicular oocytes from Holstein cows in vitro. The proven complex of technologies for embryo transplantation on an industrial scale will provide a 3-5-fold acceleration of reproduction of highly productive cows. As a result of scientific research, biotechnological methods of accelerated reproduction of dairy cattle have been substantiated and introduced … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 14 Oct 2024 · 4,304 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadial Basis Function Neural Networks Towards Electronic Trust QuantificationSmitha Zacaria, Tiny du ToitTrust is a broad term applicable in various contexts. Trust between electronic entities is complex to quantify, particularly in intricate networks. Traditional trust algorithms rely on historical trust values, requiring storage and access to past transaction details. Contextual variations further complicate trust calculation. Challenges in calculating trust include heightened computational complexities, managing information storage, and securing access to extensive datasets … …Journal of Computer Science, Vol. 20, Issue 11 · 26 Sep 2024 · 4,801 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancement of Semantic Analysis Based on the Ontology Reengineering: A Case Study on Moroccan Tourism DomainKhalid Tatane, Asma Amalki, Ali BouzitThis article outlines a novel semi-automatic approach aimed at enhancing a foundational ontology associated with Moroccan tourism. The initial phase of this methodology involved extracting new conceptual entities and semantic relationships from heterogeneous and multi-format textual resources, using a meticulously curated suite of Natural Language Processing (NLP) tools. The subsequent phase focused on aligning this updated Ontological version (OTMv1: Ontology … …Journal of Computer Science, Vol. 20, Issue 8 · 30 May 2024 · 5,002 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 · 6,075 accessesView PDFCite