In astrological practice, the precise time of an individual's birth is deemed paramount for the formulation of a precise ...

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Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI ...

Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests ...

AI-based platforms like Binance and CoinMarketCap provide reliable forecasts by integrating technical, fundamental, and sentiment analyses. Prediction markets such as Polymarket excel in accuracy for ...

1 Nanjing Changtian Surveying and Mapping Technology Co., Ltd., Nanjing, China 2 School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou, China ...

1 State Key-Laboratory of Oil and Gas-Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China 2 College of Geophysics, Chengdu University of Technology, Chengdu, China In ...

Abstract: Reliability of civil aircraft is one of the most concerned indicators by the industry, airlines and the public.Based on the current state and development trend of the aircraft system or ...

With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to both human ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...