Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

68 articles for “Service-learning”
Set a search alert
Also matching:1 special issue
Research ArticleOpen accessIn the keywordsDeep Regularization Mechanism for Combating Class Imbalance Problem in Intrusion Detection System for Defending DDoS Attack in SDNNarender M, Yuvaraju B NIntegration of deep learning into Intrusion Detection Systems (IDS) for Software Defined Networking (SDN) is an emerging field of research. Most of the datasets used to build IDS are highly imbalanced, especially in the case of DDoS attacks, which account for a larger percentage of malicious samples than normal traffic. As a result of a class imbalance, the classification result … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 5,668 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStudents' Awareness and Requirements of Mobile Learning Services in the Higher Education EnvironmentNaji Shukri Alzaza, Abdul Razak YaakubProblem statement: M-learning is considered as the next generation of e-learning using mobile technologies. Students’ awareness of such technology is one of the most focuses for success adoption. This study aims to investigate students’ awareness and requirements of mobile learning services among Malaysian students in the higher education environment. Approach: The study found that the higher education environment now has … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 26 Jan 2011 · 18,672 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 · 8,774 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSuitable Assimilation Model of Culture, Beliefs and Rites Concerning Deities of Buddhism and Hindu-Brahmanism for Peace of Thai Society in Bangkok and CircumferencesPhra Maha Kriangkrai Kaewchaiya, Suoneth Photisan, Makhawin PurisuttamoProblem statement: At present, Thai society widely assimilates culture, beliefs and rites concerning deities of Buddhism and Hindu-Brahmanism by worshipping the deity images at the temples or the abodes of gods in Bangkok and circumferences. A typical worship is to pray the deity for help. As a matter of fact, people should help themselves first and use a prayer as … …Journal of Social Sciences, Vol. 7, Issue 2 · 8 Feb 2011 · 7,841 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Scalable Hybrid CNN-LSTM and SDN Based Architecture for Real-Time DDoS Defence in IoT and Cloud NetworksSujit Sutradhar, Joy Lal Sarkar, Rajesh Kumar VermaDistributed Denial-of-Service (DDoS) is one of the most significant threats to the security of IoT, cloud, and Software-Defined Network (SDN) environments because it can aggravate network unavailability and disrupt the continuity of services. This study presents a hybrid CNN-LSTM-based DDoS detection and mitigation system for real-time DDoS detection in the context of heterogeneous network environments, which is integrated with SDN … …Journal of Computer Science, Vol. 22, Issue 10 · 19 Oct 2026 · 535 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 abstractLeveraging Machine Learning Techniques to Analyze Consumer Mindset Metrics Embedded in Arabic Dialect Texts Across Social Media PlatformsSafa Khaled Al Sarairah, Mohd Heikal Husin, Noor Farizah IbrahimAs social media grows in popularity around the world, analyzing Arabic texts on these platforms can provide important insights into consumer attitudes and behavior. The complexity and diversity of Arabic and its dialects, however, make it a challenging task. This research raises these challenges by using and comparing the performance of Machine Learning (ML) models for classifying social media comments … …Journal of Computer Science, Vol. 22, Issue 5 · 5 Jun 2026 · 1,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractQ-Optimizer: An AI-Based Optimization Framework for Efficient SDN Routing and QoS EnhancementDeepthi Goteti, Vurrury Krishna ReddyWith their rigid layers, traditional networks do not meet evolving traffic demands. As a result, they tend to face congestion along with un-optimized routing. SDN controls traffic management by introducing a programmable control plane, enabling dynamic and intelligent network management. However, older routing techniques, such as Dijkstra's and Multipath, suffer from low adaptability, leading to a rise in latency and … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,235 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intrusion Detection System Using Optimized Deep Learning for IoT NetworksChempavathy B., Mouleeswaran S. K.In the rapidly evolving landscape of Internet of Things (IoT) networks, assuring security is paramount. Cyber-attacks on IoT networks are evolving in complexity and scale. Intruders employ diverse tactics, including malware, Denial of Service (DoS) attacks, along with unauthorized access. This research aims to propose an optimized Deep Learning (DL) based Intrusion Detection System (IDS) to bolster security within IoT … …Journal of Computer Science, Vol. 21, Issue 8 · 9 Oct 2025 · 3,001 accessesView PDFCite
Review ArticleOpen accessIn the abstractDDoS Mitigation Using Machine Learning in Software-Defined NetworksAhmed Gaber Abu Abd-Allah, Noureldin Omar Mohamed, Mohamed Samir Mohamed et al.With the escalating frequency and sophistication of Distributed Denial of Service (DDoS) attacks, the realm of cyber security has witnessed a paradigm shift towards innovative solutions. This review explores the potential of machine learning as a powerful defense mechanism in the field of DDoS mitigation within Software-Defined Networks (SDNs). The study methodically examines a variety of machine learning algorithms used … …Journal of Computer Science, Vol. 21, Issue 4 · 23 Mar 2025 · 6,782 accessesView PDFCite