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Research ArticleOpen accessEvery word in the titleA Dynamically Zero Trust and Risk Aware Cryptographic Orchestration Framework of Secure Multi Cloud Electronic Health RecordsD. Veerabhadra Rao, G. Appa Rao, S. AnuradhaThe adoption of multi-cloud infrastructures for Electronic Health Records (EHRs) improves scalability and accessibility but introduces security challenges such as fragmented trust management, high cryptographic overhead, and inefficient integrity verification. Existing frameworks rely on static authorization and uniform encryption mechanisms, which fail to dynamically evaluate behavioural risks associated with user access requests. Consequently, Distributed Trust Inconsistency, Cryptographic Scalability Saturation, and … …Journal of Computer Science, Vol. 22, Issue 10 · 7 Oct 2026 · 463 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 422 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntrusion-Resistant Multi-Hop Communication Protocol for Secure Wireless Sensor NetworksRakesh Ranjan, Vaishali Singh, Hitendra SinghModern Internet of Things (IoT) systems are based on Wireless Sensor Networks (WSNs), which can be distributed to various environments to perform a range of sensing and data aggregation. Their intrinsic deficiencies in computation, energy, and bandwidth, however, make them very vulnerable to routing-layer attacks like black hole and selective forwarding as well as Sybil intrusion. The current studies on … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 943 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMCWDRL: Multi-Cloud Workflow Scheduling Using Deep Reinforcement Learning and Improved Workflow Segmentation for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe rapid growth of cloud computing has led to complex workflow scheduling challenges in multi-cloud environments, where efficient resource utilization, minimized makespan, and reduced costs are paramount. Traditional scheduling algorithms often struggle to adapt to the dynamic nature of cloud resources and workflows, leading to suboptimal performance. To overcome this issue, the paper proposed a novel Multi-Cloud Workflow Scheduling using … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 941 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImpact of Multi-Enzyme Machine Cleaning, Multi-Enzyme Soaking, and Traditional Tap Water Cleaning on the Cleanliness of Blood-Contaminated Hemostatic ForcepsLi Kang, Qingmin Gao, Yi FengEffective cleaning of surgical instruments is critical for infection prevention in healthcare settings. This study compared the cleaning efficacy, efficiency, and resource consumption of three methods, multi-enzyme machine cleaning (Group S1), multi-enzyme soaking (Group S2), and traditional tap water cleaning (Group S3), on blood-contaminated hemostatic forceps. A total of 600 blood-contaminated hemostatic forceps collected from the disinfection supply room of … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 24 Apr 2026 · 1,886 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Study of BERT Based Architectures for Multi Task News Classification and Threat DetectionA. Mustain Billah, Sani M IsaWe present a comparative analysis of single-task and multi-task BERT-based models for Indonesian news classification across two objectives: category prediction (five classes) and threat detection (binary). Using 8,951 annotated news titles, single-task baselines achieved weighted F1 scores of 0.84±0.01 (category) and 0.87±0.00 (threat). Multi-task hybrids integrating CNN, LSTM, and Bi-LSTM layers performed comparably overall and improved minority class threat detection, … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,131 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRobust Adversarial Attack Detection via Generative Adversarial Network With Residual Multi-Layer Aggregation Based Contrastive Loss FunctionAmudha Gopalakrishnan, Nalini JosephAdversarial attacks in medical imaging refer to subtle modifications to images that mislead diagnostic systems, resulting in inaccurate diagnoses and assessments. These attacks exploit vulnerabilities in image processing, leading to misclassification or altered visual features that often go unnoticed. This raises serious concerns about the security and reliability of medical diagnosis, directly impacting clinical decision-making and patient safety. This research … …Journal of Computer Science, Vol. 22, Issue 1 · 10 Feb 2026 · 1,749 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 678 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSenior Expertise and Peer Consensus: A Comparative Analysis of AI and Clinician Measurements in Multi-Curve Scoliosis AssessmentFrank Ibañez Elijorde, Joselito F. Villaruz, Ma Beth S. Concepcion, Mylo N. SoriasoGiven the scarcity in the literature, this study explored the use of AI for multi-curve scoliosis assessment. Its performance was analyzed through comparison against a group of clinicians composed of one senior and five non-senior orthopedic surgeons. The analysis focused on Cobb angle measurement and identification of vertebral endplates across three curve regions, namely Main Thoracic (MT), Proximal Thoracic (PT), … …Journal of Computer Science, Vol. 22, Issue 3 · 9 Mar 2026 · 1,396 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMulti-Agent Energy Allocation Optimization in Local Energy Communities: A Comparative StudyAmira Dhorbani, Dhaker Abbes, Benoît Robyns, Kahina Hassam OuariThe growing diversity of energy demands, combined with the integration of renewable and distributed energy systems, calls for more adaptive energy management strategies. This study presents a comparative simulation-based analysis of three energy management approaches applied to a local energy community: A Multi-Agent System (MAS), a centralized rule-based method, and a game-theory-based optimization using the Alternating Direction Method of Multipliers … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 30 Dec 2025 · 3,389 accessesView PDFCite