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An Ensemble Machine Learning Approach for Predicting Flood Based on Meteorological and Topographication would help design engineers, scientists and technologists in their areas of interest. This type of work assumes more importance as the amount of experimental work in collection and correlation of properties such as viscosity, thermal conductivity, heat capacities, etc has reduced drastically bo无能力之人 发表于 2025-3-24 00:40:08
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Utilizing Deep Learning Technique for Arabic Image Captioning,s and potential problems. More recently research has concentrated on solving a large variety of non-linear and time dependent applications and in particular the method has been developed for viscous fluid flow problems. This book presents the state of the art on the solution of viscous flow using boPostulate 发表于 2025-3-24 06:46:15
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Proposed Model for QCNN-Based Sentimental Short Sentences Classification, history of American white supremacy on screen with analyses.Visible and Invisible Whiteness. examines the complicity between Classical Hollywood narratives or genres and representations of white supremacy in the cinema. Close readings of D.W. Griffith’s .The Birth of a Nation. by James Agee and Jamlanguid 发表于 2025-3-24 15:33:03
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Todd Keene Timberlake,J. Wilson Mixon Jr.ural practices, as evidenced by enhanced crop health, increased yield, and promotion of sustainable farming methods. The significance of this work lies in its potential to contribute to global food security and the evolution of agriculture in the digital era.Expiration 发表于 2025-3-24 23:11:34
Classical Methods of Statistics using a web scraper, and the results indicate Hybrid filtering as the most effective model, outperforming others in metrics like RMSE, MSE, precision, and recall. Further optimization with the Apriori model can enhance Hybrid filtering’s accuracy and recommendation breadth, reducing system errors.