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262 articles for “State of Art”
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Research ArticleOpen accessIn the keywordsLocally-Chosen versus State-Mandated Success Criteria: A Retrospective Evaluation of the Effectiveness of the Success-For-All Program with Fourth and Seventh Grade Hispanic StudentsJames Carifio, Dalis DominguezProblem statement: This study compared the growth in reading competencies of Hispanic female and male students in the SFA program as measured by the Massachusetts Comprehensive Assessment System (MCAS) and the Scholastic Reading Inventory (SRI). Approach: The study was a retrospective study with several a priori hypotheses and examined logical comparison groups of 4th and 7th graders, who received 1 … …Current Research in Psychology, Vol. 1, Issue 2 · 31 Dec 2010 · 7,985 accessesView PDFCite
Research ArticleOpen accessIn the keywordsVarying Overhead Ad Hoc on Demand Vector Routing in Highly Mobile Ad Hoc NetworkV. Balaji, V. DuraisamyProblem statement: An inherent feature of mobile ad hoc networks is the frequent change of network topology leading to stability and reliability problems of the network. Highly dynamic and dense network have to maintain acceptable level of service to data packets and limit the network control overheads. This capability is closely related as how quickly the network protocol control overhead … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,000 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach for Differentiating AI-Generated and Real Images Using Gabor and Color Layout Filters (GF and CLF)G. Ayyappan, A. Thankaraj, S. Surendran et al.The emergence of generative AI images has profoundly upended the art world. Distinguishing AI-generated images from human-created artwork is increasingly challenging. If this issue remains unresolved, dishonest individuals may exploit those who are willing to pay more for original artwork and businesses whose stated policies exclude AI graphics. There are a number of methods for differentiating AI photos from human … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,756 accessesView PDFCite
Review ArticleOpen accessIn the abstractMaintenance and Evolution Processes of Embedded Software: A Systematic Literature ReviewAloysio Augusto Rabello de Carvalho, Luiz Eduardo Galvão MartinsThe relevance of embedded systems has increased considerably due to industrial automation and the adoption of IoT and medical devices. This process demands the adaptation of software engineering techniques that involve the maintenance and evolution of software for use in embedded systems. We conducted this Systematic Literature Review (SLR) to investigate the state of the art on the topics of … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,750 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Evaluation of a Technology/ICT Diffusion Method for Banks- Enterprise Architecture PerspectiveEhab Juma AdwanIn retail banks, comparing the levels of technological diffusion of" in between country" to the "across country"" identifies the availability, gaps, and duplicative levels of technologies which are critical for potential investments in the latest competitive technologies. To avoid technology disparities in the diffusion levels, the comparison has to apply rigorous theoretically well founded diffusion models and mathematically proven methods. … …Journal of Computer Science, Vol. 21, Issue 6 · 28 Jun 2025 · 3,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Postoperative Brain MRI Segmentation with Automated Skull Removal and Resection Cavity AnalysisSobha Xavier P., Sathish P. K., Raju G.Brain tumors present a significant medical challenge, often necessitating surgical intervention for treatment. In the context of postoperative brain MRI, the primary focus is on the resection cavity, the void that remains in the brain following tumor removal surgery. Precise segmentation of this resection cavity is crucial for a comprehensive assessment of surgical efficacy, aiding healthcare professionals in evaluating the … …Journal of Computer Science, Vol. 20, Issue 5 · 19 Mar 2024 · 5,699 accessesView PDFCite
Research ArticleOpen accessIn the abstractFL-CARE: Federated Learning-Based Contention-Aware and Energy-Balanced Routing for Dense FANETsHalimjon Khujamatov, Elyanora Jolimbetova et al.In dense multi-drone FANET environments, routing efficiency is often reduced due to constant competition for a wireless channel, frequent changes in network topology, and uneven energy consumption between UAV nodes. These factors lead to a decrease in the packet delivery ratio, an increase in delays on the busiest or most unstable routes, and a reduction in the total network lifespan. … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,181 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Network Security through Accurate Asset Discovery Using Lightweight Agent-Based ApproachIshu Sharma, Ahthasham Sajid et al.Any organization's network administrators and security professionals must have an accurate and real state of assets connected to the network to devise different policies for securing critical resources by identifying vulnerabilities. Asset discovery is a challenging and critical task in vulnerability assessment. The vulnerability of the organization’s network can be correctly analysed only with the accurate prediction of connected devices. … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Mar 2026 · 1,951 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized WFST-Based ASR for Arabic: Balancing Memory, Speed, and AccuracyWael A. Sultan, Mourad S. Semary, Sherif M. AbdouWeighted Finite-State Transducers (WFSTs) have revolutionized Automatic Speech Recognition (ASR) by enabling significantly faster decoding speeds compared to traditional systems that build the search space progressively. However, applying WFSTs to morphology-rich languages such as Arabic presents challenges due to the large vocabulary, resulting in extensive networks that exceed the memory capacity of standard CPUs. This study introduces various strategies to … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,446 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