The use of artificial intelligence has radically transformed the way the computer understands reality. It has given rise to ...

Abstract: This study focuses on improving the precision and global search capabilities of the Harris Hawk Optimization algorithm when dealing with debris flow disasters. The enhanced algorithm, called ...

Abstract: This paper examines time series models for predicting the power of a wind farm at different time scales, i.e., 10-min and hour-long intervals. The time series models are built with data ...

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It's Monday, and my mood is a bit dampened after spilling coffee from my favorite mug next to my keyboard this morning. But as I was frantically wiping down my desk, my eyes caught a technical article ...

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Background The prompt and precise diagnosis of active pulmonary tuberculosis (TB) is crucial for controlling this disease and ...

Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...

Ultra-low latency is especially important for some medical conditions like ventricular fibrillation, where even a few seconds of latency could make a difference. You may like 'Self-powering' fabrics ...

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