To reduce the serious losses caused by debris flows, debris-flow susceptibility mapping (DFSM) is valuable and indispensable. The objective of this study was to build a high-quality regional debris flow prediction model through a heterogeneous ensemb... read more
Advances in machine learning have transformed structural biology, enabling swift and accurate prediction of protein structure from sequence. However, key challenges persist in modeling side-chain packing, condition-dependent conformational changes an... read more
Waste management is also an important concern in the modern world, which is fast urbanizing and industrializing. The conventional waste sorting techniques are ineffective, expensive, and dangerous to health. The current study will address these issue... read more
The instantaneous velocity of smash actions in badminton can exceed 100 m per second, with action durations of only tens of milliseconds. Traditional frame-based cameras, limited by fixed sampling frequencies and finite dynamic ranges, struggle to ac... read more
Our study proposes a method to efficiently reconstruct physical models generating traffic noise maps using artificial intelligence technologies. A typical noise prediction model consists of noise generation and energy propagation models that use traf... read more
Ensuring safe and effective use of artificial intelligence (AI) requires understanding and anticipating its performance on new tasks, from advanced scientific challenges to transformed workplace activities1-3. So far, benchmarking has guided progress... read more
With the increasing use of digital platforms for spread of information, political news has some of the most skewed sources which has confused people on what are facts and what are biased reportings. While most modern methods of finding bias in media ... read more
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