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76 articles for “effective demand”
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Research ArticleOpen accessPhrase in the titleProduct Quality and Effective Demand under StagnationWataru JohdoProblem statement: Recent neoclassical theoretical study, particularly in the endogenous growth literature, has studied the nature of the relationship between economic growth and product quality. However, little attention has been given to the impact of a rise in product quality on effective demand under stagnation. This is because previous models have assumed that demand is always met with supply in … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 6,888 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Cloud Load Balancing Using Deep Q-Learning With Inverted S-Shaped Hierarchical Reverse Superb Fairy-Wren OptimizationB. R. Yogeetha, S. P. AnandarajCloud computing offers a scalable and cost-effective platform by providing on-demand access to shared computational resources. However, effective load balancing is essential to maintain optimal performance and maximize resource utilization for ensuring even distribution of network traffic across servers, preventing overload, improving response time and enhancing the system reliability. This manuscript proposes the Deep Q-Network with Inverted S-shaped Hierarchical Reverse … …Journal of Computer Science, Vol. 22, Issue 6 · 4 Jun 2026 · 1,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstrous Synchronization Protocols in South African Merino EwesNhlakanipho Sam Zulu, Fhulufhelo Vincent Ramukhithi, Khoboso Christine LehloenyaThe South African Merino breed is the most important sheep breed in South Africa due to its superior wool quality. With an increasing wool demand from China and Europe, the need for wool production in South Africa has risen significantly. To meet this high demand, it is crucial to enhance the reproduction rate of the Merino sheep using assisted reproduction … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 1 · 29 Jan 2025 · 7,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractEdge Computing Enabled Human Activity Recognition (ECEHAR) Using LSTM and CNNSuresh Kumar, M Y. Mohamed ParveesHuman Activity Recognition (HAR) is an important research area for various application domains such as healthcare, gaming, telemonitoring, and sports. However, executing HAR algorithms on remote servers or in the cloud have challenges in terms of high latency, increased bandwidth demand, and high energy consumption. Moving the computation to edge-assisted HAR is more effective and flexible solution to address the … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,578 accessesView PDFCite
Review ArticleOpen accessIn the abstractAI-Driven Innovations in Meat Quality and Safety: Applications, Challenges, and Future DirectionsEmrobowansan Monday IdamokoroArtificial Intelligence (AI) is revolutionizing the meat sector by improving efficiency, accurateness, as well as sustainability in meat production, quality evaluation, and safety control. The conventional systems of meat inspection, handling, and processing are usually time consuming, labour-intensive, prone to contamination during handling and often susceptible to human errors. The use of artificial intelligence to drive technologies, including Deep Learning … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 3,680 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 abstractA Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNNBuddha Hari Kumar, Chitra Perumal, Inakoti Ramesh Raja et al.The vast growth of textual data has ushered into the limelight, a plethora of applications in information retrieval and natural language processing (NLP). Proper extraction of information from text is heavily dependent on recognizing the thematic content, which becomes crucial in the tasks of document summarization, information extraction, question answering, machine translation, and sentiment analysis. The great complexity of this … …Journal of Computer Science, Vol. 21, Issue 9 · 26 Nov 2025 · 2,395 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification and Spatial Distribution of Macronutrients and Micronutrients in the Soil of Greenhouse Sweet CherriesLijin Qin, Qingxiang Wang, Yongli Lv et al.To understand the distribution of trace elements in the soil of greenhouse sweet cherry, using soil samples from solar greenhouse sweet cherry orchards in Chifeng, Inner Mongolia as the object, the trace element indicators in the soil of different sweet cherry production areas were analyzed using the "S" shaped 5-point sampling method. Descriptive statistics were conducted. The results showed that … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 9 Oct 2025 · 2,174 accessesView PDFCite
Review ArticleOpen accessIn the abstractTrends and Innovations in Sterilization of Ready-to-Eat Food Products: Challenges and Future DirectionsDaimon Syukri, Rini, Risa Meutia Fiana et al.The growing demand for Ready-To-Eat (RTE) food products has significantly shaped the industry. RTE foods, including meat, dairy and vegetable-based products, offer convenience and practicality but are highly susceptible to contamination by pathogenic microorganisms. Sterilization, an essential process to eliminate viable pathogenic microorganisms, including spores, has become an important solution to ensure food safety and extend shelf life. Based on … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 20 Mar 2025 · 5,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractEconomic Evaluation of Standalone Hybrid PV–H2 with Storage SystemAdeyinka Victor Adebayo, Samuel Oladeji, Hussein Kehinde Adebayo, Ismaheel Oyeyemi OladejoThis study evaluates the economic performance of a standalone hybrid PV-H2 system with battery storage for small-scale electricity demand. The methodology involves comparing various configurations of standalone PV, storage, and hybrid PV-H2 systems under different discount rates and evaluation periods. Economic indicators such as Net Present Value (NPV), Payback Period, and Discounted Annualized Return (AAR) determine financial viability. Results indicate … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 4 Mar 2025 · 7,117 accessesView PDFCite