Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a ...
Researchers have identified a previously unknown fossil ape from Egypt that could alter long-held ideas about the origins of ...
Anupam Ojha, a postdoctoral fellow at the Flatiron Institute, develops advanced statistical frameworks to bridge the gap ...
Abstract: Tracking demographic dynamics for the built environment is important for a smart city. As a kind of ubiquitous Industrial Internet of Things (IIoT) device, portable devices (e.g., mobile ...
Our approach models label noise in semantic segmentation with a probabilistic framework that incorporates spatial correlations. By introducing a continuous latent ...
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
THE American Thoracic Society (ATS) International Conference 2026, held in Orlando, Florida, USA, May 15–20, united the pulmonary medicine community for a week of discussion on the latest data, ...
A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...
The application of advanced statistical methods in infectious diseases has never been more pertinent than during the recent COVID-19 pandemic. Traditional ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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