Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
1 Information System Department, Faculty of Commerce and Business Administration Helwan University, Cairo, Egypt. 2 Computer Science Department, Faculty of Computer and Artificial Intelligence, Helwan ...
Abstract: AI-driven precision agriculture is revolutionising the agricultural business by using advanced techniques to monitor crop health and optimize output. By integrating data from sensors, drones ...
Water temperature is a controlling factor for physical, biological, and chemical processes in rivers, and is closely related to hydrological factors. The construction of reservoirs interferes with ...
Enteric methane from cow burps, which results from microbial fermentation of high-fiber feed in the rumen, is a significant contributor to greenhouse gas emissions. A promising strategy to address ...
Quantitative Structure-Activity Relationship (QSAR) is a computer-aided technology in the field of medicinal chemistry that seeks to clarify the relationships between molecular structures and their ...
Abstract: The paper herein will analyze and predict the population of endangered animals for the upcoming years using Machine Learning algorithms by calculating the animal's count. We develop a ...
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