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82 results for “dynamic key”
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Research ArticleOpen accessIn the abstractPredictive Analytics and Procurement Visibility: A Big-Data-Driven Approach to Customer Satisfaction in Supply Chain ManagementDevendra Nath Pathak, Rakesh Kumar Yadav, Hitendra SinghIn the current dynamic and consumer driven market environment, supply chains need to move out of reactive to the proactive ecosystems. One of the most urgent requirements is increasing procurement visibility and the development of better order planning for the inventory to meet the products’ demand with continued high customer satisfaction. This paper is an agenda of big-data-driven predictive analytics … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Dynamic AI Maturity Model for Agile Audit: A Roadmap for Enhanced Effectiveness and InnovationSoumaya Amraoui, Mina Elmaallam, Mahmoud NassarThe intersection of Artificial Intelligence (AI) and agile methodologies is transforming information systems audit by enabling real-time risk assessment, anomaly detection, and automated control testing. These capabilities enhance the security, efficiency, and reliability of IT environments. This article introduces a dynamic AI maturity model for agile audit, structured into five levels of AI integration. Each level reflects increasing AI capabilities … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,269 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning-Based Spectrum Sensing in Cognitive Radio Networks using Stacked LSTM: Performance Analysis of SNR and BERKavitha Veerappan, Seetharaman GopalakrishnanRapid evolution of wireless communication technologies and emergence of 5G networks have addressed lack of spectrum resources, highlighting the need for innovative topologies to improve the spectrum utilization. Due to this reason, Cognitive Radio (CR) has evolved as an optimized solution to overcome these difficulties by allowing dynamic spectrum access, thereby reducing the under-usage of available spectrum. Considering this, precise … …Journal of Computer Science, Vol. 21, Issue 11 · 19 Dec 2025 · 2,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractCross-Layer Design for Combining Adaptive Modulation and Coding with DMMPP Queuing for Wireless NetworksManikandan Arunachalam, Naresh Kumar Babu, Anandan Perumal et al.Resource management and Quality of Service (QoS) are seen as key concerns for many applications in 5G networks since they support millions of linked devices. When sharing information over error-prone wireless networks, these resource management strategies are necessary to fulfill multimedia applications with a minimum throughput guarantee, low error probability, and high tolerated delay. One of the most complex traffic … …Journal of Computer Science, Vol. 19, Issue 6 · 31 May 2023 · 5,419 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Analysis of SRAM Cell for Smart ApplicationPushkar Praveen, Rakesh Kumar SinghIn today's circuittechnology, power consumption and savings are key concerns. The driving reasonsbehind these innovations are portable devices that require high throughput andlow power dissipation, such as computers, phones, and Personal DigitalAssistants (PDAs). In portable devices, reducing or decreasing IC dissipatedpower through design optimization is a big problem, and restricted batterylifespan places very severe restrictions on overall power usage. In … …Journal of Computer Science, Vol. 18, Issue 9 · 17 Sep 2022 · 5,726 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Cluster Head Selection in IoV-Enabled VANETs Using a Federated Diffusion Convolutional Recurrent Neural Networks FrameworkP Subhash, Madana Srinivas, A. Ranjith et al.The IoV enables the formation of VANETs that require a strong selection of CHs for effective communication within high-velocity changing traffic scenarios. Existing approaches often face issues related to scalability, privacy, and adaptability. To meet the aforementioned urgent needs, we design a decentralized scheme for intelligent CH selection based on Federated Learning with Diffusion Convolutional Recurrent Neural Networks (DCRNNs). According … …Journal of Computer Science, Vol. 22, Issue 10 · 1 Oct 2026 · 599 accessesView PDFCite
Research ArticleOpen accessIn the abstractCytocompatibility and Antimicrobial Properties of Silver Nanoparticles-Loaded AMPs in the Oral CavityYanli Lv, Weikai ZhangPostoperative infection following oral metal implantation is a key factor that affects the success rate of surgery. This infection is mainly caused by bacterial biofilms. Traditional single antibacterial coatings have limitations, including a narrow antibacterial spectrum and poor cytotoxicity or stability. This study combined silver nanoparticles (AgNPs) and the synthetic antimicrobial peptide GL13K using electrostatic self-assembly technology to create a … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 24 Apr 2026 · 1,685 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDFCite
Review ArticleOpen accessIn the abstractWeb Scraping for Product Recommendations: A Review of Techniques and ApplicationsAmarinder Kaur, Deepak PrasharA comprehensive method for developing a reliable product recommender system leveraging sophisticated web scraping technologies, machine learning, and natural language processing techniques. The proposed system addresses key challenges in personalized product recommendation, including the difficulty of integrating diverse data from multiple e-commerce platforms, ensuring data quality, and improving recommendation accuracy to enhance user experience. Specifically, this research tackles issues related … …Journal of Computer Science, Vol. 21, Issue 6 · 21 Jun 2025 · 4,225 accessesView PDFCite