Research ArticleOpen accessIn the keywordsProgressive Content-Sensitive Data Retrieval in Sensor NetworksBo Yang, Manohar MareboyanaProblem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data) has been considered as a challenging task due to the lack of infrastructures and the multiple limitations (such as band-width, storage and energy). While the past research discussed much on routing protocols for sensor networks, few works have … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 6,849 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementing Rede Universitaria de Telemedicina Usability-the Brazilian Telemedicine University NetworkWilson Coury, Jose Luiz Ribeiro Filho, Luiz Ary Messina, Nelson SimoesProblem statement: Remote and underserved regions in Brazil have a lack of specialized doctors for health assistance and education. Approach: The Brazilian Telehealth initiative enables videoconferencing, diagnosis and formative second opinion, continuous and permanent education and web conferencing, by linking university and teaching hospitals via RNP (Rede Nacional de Ensino e Pesquisa), Brazil’s national research and education R and E … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,849 accessesView PDFCite
Research ArticleOpen accessIn the keywordsReducing Network Bandwidth Cost on End User Resources Consumption in Cloud EnvironmentBuchanagandi Enock Nyamajeje, Huiqun YuCloud computing has been envisioned as the next generation and attributed to the increasing growth of mobile devices. Rapid increment, increase demands and bandwidth cost of access cloud resources became essential user perceive incur higher cost for utilizing cloud services. Since researchers have proposed new methods, service provider need to collaborate to ensure reasonable level of QoS. In various methods, … …Journal of Computer Science, Vol. 11, Issue 9 · 25 Nov 2015 · 7,109 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance Evaluation of Chaotic Encryption TechniqueAncy Mariam Babu, K. John SinghDrastic growth in multimedia communication resulted to numerous security issues in the transmission of data. Moreover, the network used for the digital communication does not provide much security for the data transfer. During this time, tens of millions people using the internet options for essential communication and is being a tool for commercial field increased, So that security is an … …American Journal of Applied Sciences, Vol. 10, Issue 1 · 8 Jan 2013 · 7,211 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRole of Information Technology for Good Governance and SocietyHasan Al-ShalabiFor developing countries, Technology is considered to be a lever for development. The development of Information Technology (IT) has a wide potential in all aspects of the societal development. Especially, for any developing country, IT has brought an overall change and growth. The developing countries need to focus on 6Cs of IT i.e. Computer density, Communication, Connectivity, Cyber laws, Cost … …Journal of Social Sciences, Vol. 1, Issue 2 · 30 Jun 2005 · 9,879 accessesView PDFCite
Research ArticleOpen accessIn the abstractAbstractive Summarization of Long Educational Transcripts in the Era of GenAIDeepa Fernandes, Rupali Sunil WaghThe surge in online video data presents the imperative requirement of summarizing it for information compression, efficient understanding, and to support decision-making. Recent research studies have predominantly utilized structured input data for summarization. This paper explores the current state-of-the-art models in summarizing unstructured, conversational, and long transcript data. We further apply a transfer learning approach using a fine-tuned BART model, … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 413 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognizing Sign Language Gestures Using a Hybrid Spatio-Temporal Deep Learning ModelMeryem Cherrate, My Abdelouahed Sabri, Ali Yahyaouy, Abdellah AarabRecognizing gestures in American Sign Language (ASL) from video data presents significant challenges due to the intricate combination of hand gestures, facial cues, and body motion. In this work, we introduce a hybrid deep learning framework that integrates Convolutional Neural Networks (CNNs) for extracting spatial characteristics with Long Short-Term Memory (LSTM) networks for capturing temporal sequences. The model was trained … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,056 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnomaly Detection Based on Vision Transformer Model and Texture FeaturesMohammed Lahraichi, Abdelhafid Berroukham, Khalid HousniAnomaly detection is one of the video surveillance applications,which aims to detect and analyze abnormal behaviors and risky situations inorder to prevent accidents. Various deep learning models have beenpreviously developed for this purpose, such as CNN, RNN, and VisionTransformer, each one has its strengths and weaknesses based on the qualityof input data. This paper proposes a novel approach based on … …Journal of Computer Science, Vol. 21, Issue 7 · 10 Jul 2025 · 3,689 accessesView PDFCite
Research ArticleOpen accessIn the abstractCheating Detection in Examinations Using Improved YOLOv8 with Attention MechanismYan Zuo, Soo See Chai, Kok Luong GohExaminations are among the most widely used and effective methods for assessing knowledge mastery, both domestically and internationally, and are extensively used in various talent-selection processes. Currently, offline exam venues usually rely on on-site manual invigilation combined with exam-monitoring videos to further strengthen invigilation efforts. However, this invigilation method not only utilizes large amounts of human and material costs but … …Journal of Computer Science, Vol. 20, Issue 12 · 6 Nov 2024 · 6,261 accessesView PDFCite