Research ArticleOpen accessIn the abstractDengue Fever Prediction Empowered by Radial Basis Function Networks, Dynamic Mode Decomposition, and Learning-Based Foraging AlgorithmArchana T, Faritha Banu JDengue fever is presently considered a major health threat that must be addressed. External and internal factors that induce nonlinear oscillations in the occurrence of dengue disease have made optimal resource allocation stimulating. Public health initiatives aimed at eradicating this vector use accurate and timely data through field processes. In dengue-endemic nations, early dengue prediction remains a main concern for … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 1,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Public Sentiment on Demonetization Using SVM: A Machine Learning ApproachKaliappan M, Guruprakash B, Rajalakshmi et al.The Indian economy experienced significant disruption following the implementation of demonetization, a policy initiative aimed at eliminating black money, controlling inflation, and promoting financial inclusion. However, this currency ban generated widespread debate and polarized public opinion. This study analyzes public sentiment toward demonetization using social media data, specifically Twitter posts characterized by mixed sentiments, sarcasm, and nuanced linguistic expressions. We … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 2,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Climate Factors on the Epidemiology and Management of Potato virus YMahabuba Mostafa, Md. Motaher HossainPlant viruses give rise to potential loss to global crop production and have the potential to cause widespread damage. Potato virus Y (PVY) is a plant virus that belongs to the genus Potyvirus and the family Potyviridae and it is considered a major concern, particularly for solanaceous crops such as potatoes. PVY represents the largest cluster of plant viruses, encompassing … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 31 Aug 2024 · 4,764 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Based Prediction of Catch Yields in Small Scale FisheriesEpifelward Niño Olaivar Amora, Patrick D. CernaSmall-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yields in Cogtong Bay, Philippines, using 3,478 records collected in 2020–2021 that included species, gear, location, season, and weather data. Models developed in Python with scikit-learn and XGBoost compared Random Forest (RF), Extreme Gradient … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractCooling Load Prediction in the Under-Actuated Zone with Multilayer Perceptron Artificial Neural NetworkYaddarabullah, Aedah Abd Rahman, Amna SaadThis study focuses on addressing the challenge of predicting cooling loads in under-actuated zones, where the variability in occupant behavior, environmental conditions, and electronic usage creates complex dynamics. Traditional models like Support Vector Regression (SVR) and E-Lastic-Net (ELN) often struggle to capture these non-linear relationships, leading to inefficient Heating, Ventilation, and Air Conditioning (HVAC) management and increased energy consumption. To … …Journal of Computer Science, Vol. 21, Issue 3 · 27 Jan 2025 · 5,306 accessesView PDFCite
Literature ReviewOpen accessIn the abstractAbout Bell Helicopter FCX-001 Concept Aircraft-A Short ReviewRelly Victoria Petrescu, Raffaella Aversa, Bilal Akash et al.Bell Helicopter is always preparing beautiful surprises for us, so this year has not been outdone and has revealed its vision of its future aircraft model FCX-001, a true vertical elevator, ment to can climb to high altitudes in a record time, with an enviable dynamics and maneuverability. The first appearance of the new model FCX-001 took place at Heli … …Journal of Aircraft and Spacecraft Technology, Vol. 1, Issue 2 · 29 Jun 2017 · 14,035 accessesView PDFCite
Research ArticleOpen accessIn the abstractImprovement of the Runner Design of Francis Turbine using Computational Fluid DynamicsSuthep Kaewnai, Somchai WongwisesProblem statement: The objective of this study is to improve runner design of the Francis turbine and analyze its performance with the Computational Fluid Dynamics (CFD) technique. Approach: A runner design process uses a direct method with the following design conditions: flow rate of 3.12m3/sec head of 46.4 m and speed of 750 rpm or dimensionless specific speed of 0.472. … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 25 Jan 2012 · 8,924 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE RURAL TOURISM AS DEVELOPMENT OPPORTUNITY OR FARMS. THE CASE OF DIRECT SALES IN SICILYFilippo Sgroi, Anna Maria Di Trapani, Riccardo Testa, Salvatore TudiscaTourism has an important role modifying rural communities in their environmental, economic, social and cultural structures, processes and dynamics. In this context rural tourism plays a primary role because it is not the rural product that reaches the consumer in the purchase point, but it is the consumer (tourist) that has to move towards tourist destination to enjoy the product. … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 3 · 21 Jun 2014 · 8,170 accessesView PDFCite