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77 articles for “Resource Potential”
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Research ArticleOpen accessIn the abstractAssessing the Potential of Tidal Power Plants in Sub-Saharan AfricaAdeyinka Victor Adebayo, Samuel Oladeji, Hussein Kehinde Adebayo, Ismaheel Oyeyemi OladejoThis study assesses the potential of tidal power plants in Sub-Saharan Africa (SSA), an area with considerable yet untapped renewable energy resources. Leveraging previous research and technological advancements, this study focuses on tidal range and tidal stream power plants, exploring their feasibility in the unique coastal geography of SSA. The paper highlights the significant tidal currents along the Atlantic coast, … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 4 · 20 Nov 2024 · 5,273 accessesView PDFCite
Research ArticleOpen accessIn the abstractReinforcement Learning in Financial Services: Modelling Payment Switching as a Multi-Armed Bandit ProblemIshaya Gambo, Christopher Agbonkhese, Segun Aina et al.The ever-evolving landscape of digital payments demands continuous innovation and self-improvement. This study addresses this imperative by simulating a model for payment routing, a crucial aspect of the digital payment ecosystem. To achieve this, industry professionals were interviewed to inform the approach, emphasizing data randomization for effective data collection. Using Python, a randomized dataset is created and three Reinforcement Learning … …Journal of Computer Science, Vol. 20, Issue 11 · 12 Oct 2024 · 4,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractIAFIR Optimization against NOMA Competitors: A Comprehensive Analysis on Energy-Efficient Non-Orthogonal Multiple AccessS. Pavithra, S. ChitraThe ever-growing demands of next-generation wireless networks necessitate the exploration of innovative technologies to enhance spectral efficiency, user experience and network performance. Non-Orthogonal Multiple Access (NOMA) has emerged as a promising candidate, offering the potential for increased capacity and improved system reliability. NOMA allows multiple users to share the same time-frequency resource, breaking away from traditional orthogonal access methods. In … …Journal of Computer Science, Vol. 20, Issue 8 · 31 May 2024 · 5,053 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Oceanographic Data for Prediction of the Potential of Marine ResourcesDenny Arbahri, Oky Dwi Nurhayati, Imam MuditaMarine data and information are very important for human survival, therefore this data and information is attractive to investors because of the potential economic value. This data and information has been difficult to obtain, the solution to overcome this is by analyzing oceanographic data for 2009-2019 collected from the marine database belonging to the Agency for the Study and Application … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,970 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 · 6,774 accessesView PDFCite
Research ArticleOpen accessIn the abstractBioremediation Potential of Heavy Metal-Resistant Bacteria in Koto Panjang Reservoir, Riau, IndonesiaIrda Sayuti, Darmadi, Adrian Hartanto et al.Koto Panjang Reservoir serves as a vital water resource supporting the social well-being of the local community in the Riau Province. The flow of the Kampar River, acting as the riverine zone and water inlet to the reservoir, provides environmental support for the construction of hydroelectric power plants (PLTA) and the aquaculture practice of Floating Net Cages (FNC). Over the … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 10 Feb 2025 · 4,534 accessesView PDFCite
Review ArticleOpen accessIn the abstractBio-Exploration of Plant Growth-Promoting Fungus Trichoderma as a Potent Candidate for Plant Disease Management: An OverviewMd. Tanbir Rubayet, Md. Motaher HossainChemical pesticides are widely used to control plant diseases, but their widespread use can have a detrimental impact on the environment and human health. This has led researchers and growers to seek out alternative solutions. One promising approach is the use of the Plant Growth-Promoting Fungus (PGPF) Trichoderma spp. as a biological control agent. This method is effective, cost-efficient, and … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 21 Sep 2024 · 5,107 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approach to Mitigate DDoS Attacks in SDNHema Surendrakumar Dhadhal, Paresh Kotak, Parvez Faruki, Atul GonsaiThe rise of Distributed Denial of Service (DDoS) attacks remains a significant obstacle to network security and availability. This abstract presents a new hybrid model for DDoS mitigation in Software-Defined Networking (SDN) environments, combining a Semi-supervised Deep Extreme Learning Machine (Semi-Deep ELM) with a hybrid architecture. SDN's centralized control and programmability create an ideal platform for implementing advanced mitigation strategies. … …Journal of Computer Science, Vol. 20, Issue 9 · 5 Jul 2024 · 5,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrincipal Component Analysis of the Female Pengging Soloan Duck Based on Morphometric TraitsRini Nur Hayati, Subiharta, Yudi Adinata et al.The Pengging Soloan duck is an emerging indigenous genetic resource from Central Java, Indonesia, recognized for its adaptability and egg-laying potential. However, its phenotypic characterization remains limited compared with established Indonesian duck breeds such as Mojosari, Tegal, and Magelang ducks. This study aimed to characterize 70 adult female Pengging Soloan ducks aged 5 6.5 months using Principal Component Analysis (PCA) … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 3 · 10 Sep 2026 · 940 accessesView PDFCite