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Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,542 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Review on the Extraction of Antibacterial Bioactive Compounds from Tanzanian Medicinal Plants Using CO₂-Expanded Liquid TechniqueWajihu Ahmada, Emrod Elisante, Neema Msuya et al.The threat of antimicrobial resistance has resulted in the need to search for alternative cures from medicinal plants. This review examines the relevance and suitability of using the carbon dioxide expanded liquid extraction (CXLE) method in extracting bioactive compounds from selected medicinal plants in Tanzania. The study focuses on their potential as antimicrobial agents against common pathogenic bacteria. It highlights … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 22 Apr 2026 · 2,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intrusion Detection Framework for MEC-Enabled IoT NetworksRofaida Tawfik, Abdelfattah Hegazy, Hesham Dahshan, Ahmed Gaber AbuabdallahMobile Edge Computing (MEC) has emerged as a promising paradigm for supporting latency-sensitive Internet of Things (IoT) applications by bringing computational resources closer to data sources. However, the distributed nature of MEC environments increases exposure to network-based security threats, particularly network intrusions that can impact both system reliability and task offloading efficiency. This paper proposes a security-aware framework that integrates … …Journal of Computer Science, Vol. 22, Issue 4 · 1 Apr 2026 · 1,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event HandlingYaddarabullah, Inanpi Hidayati Sumiasih, Mutiara Dewi PuspitawatiWater replacement is a biologically critical yet under-automated decision in biofloc-based aquaculture systems. Mistimed actions can destabilize microbial ecosystems, elevate fish mortality, and compromise sustainability through excessive water usage. Traditional rule-based heuristics often fail to account for the nonlinear and multiscale dynamics of pond environments. To address this, we propose a Context-Aware Temporal Convolutional Network (CA-TCN), a rare-event classification framework … …Journal of Computer Science, Vol. 22, Issue 3 · 5 Mar 2026 · 1,664 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Multiphase Zero-Trust Authentication Framework Using Replicated and Homomorphic EncryptionModisaotsile Marope, Venumadhav Kuthadi, Rajalakshmi Selvaraj et al.In response to the increasing complexity and vulnerability of traditional authentication techniques, this paper proposes the Multiphase Zero-Trust Authentication Framework (MZTAF), which combines device-level and user-level authentication to enhance security in zero-trust environments. Phase I leverages replicated key-based authentication to ensure fault tolerance and reduce the risk of device-level compromise. Phase II introduces homomorphic encryption for user authentication, securely verifying … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Different Extraction Methods on the Quality of Peony Seed Oil and Its Emulsion PropertiesKang Li, Chao Du, Shuxian Pang et al.Peony seed oil, as a functional oil rich in ω-3 polyunsaturated fatty acids and natural antioxidant components, has its extraction process directly affecting the maintenance of bioactive substances and the added value of the product. In this analysis, the effects of wet milling-micronized continuous leaching method (MCI), solvent extraction (SE), soxhlet extraction (SOXE) and ethanol-assisted enzymatic hydrolysis (EAH) on the … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 1,955 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Implementation of Security in Healthcare Cloud ComputingMolamoganyi Gorata, Adamu Murtala Zungeru, Mmoloki Mangwala, Joseph ChumaAs technology keeps on evolving, different organisations make use of the recent trends in technology and the health sector is no exception. As the cost of healthcare services is increasing, healthcare professionals are becoming scarce. Healthcare organisations have also adopted the latest technology of cloud computing. The introduction of cloud computing has proved to be a feasible idea on the … …Journal of Computer Science, Vol. 13, Issue 2 · 11 Apr 2017 · 7,893 accessesView PDFCite
Research ArticleOpen accessIn the abstractSocial Isolation and Suicidal Ideation Among University Students in Enugu State, Nigeria: A Qualitative PerspectiveCollins Chukwunonso EzeaUniversity students face growing mental health challenges, yet social isolation as a contributor to suicidal ideation remains understudied in Nigeria, particularly from the perspectives of students themselves. Understanding how isolation influences suicidal thinking is essential for designing context-sensitive interventions within Nigerian higher education environments. Despite a global rise in suicide among young adults, existing literature remains largely Western-centric, offering limited … …Journal of Social Sciences, Vol. 21, Issue 1 · 23 Dec 2025 · 3,430 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrivacy-Preserving Deep Federated Learning on the Edge Using Homomorphic Encryption and Secure Multiparty ComputationNoman Aasif Gudur, Mohamed El-Dosuky, Sherif KamelThe increasing volume of consumer data necessitates reliable edge devices for personalized user experiences. Federated Learning (FL) offers a state-of-the-art approach to decentralized machine learning by leveraging data distributed across multiple client devices. However, user data privacy remains vulnerable to corruption through feature heterogeneity and malicious attacks. While several privacy-preserving techniques have been previously implemented, they suffer from implementation constraints … …Journal of Computer Science, Vol. 21, Issue 11 · 21 Dec 2025 · 4,381 accessesView PDFCite
Research ArticleOpen accessIn the abstractBioactivity of Sumac (Rhus Coriaria) Extract as a Green Alternative for Plant Pathogen InhibitionMohammed H. Al-Mamoori, Meisam Zargar, Elena N. Pakina, Fatih DadaşoğluEnvironmental stress caused by pathogenic fungi leads to considerable losses in global crop productivity. Plant-derived extracts are eco-friendly and sustainable alternatives that can inhibit biotic stresses. Sumac (Rhus coriaria) is widely used in industrial and medicinal applications due to its extract rich in secondary metabolites, similar to those found in chemical pesticides and pharmaceuticals. This study aimed to characterize the … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 25 Nov 2025 · 2,209 accessesView PDFCite