Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...
Abstract: Existing periodic Gaussian process (PGP) modeling methods rely on the regularly-spaced-signal assumption (i.e., signals are evenly spaced) and the integer-period assumption for the sake of ...
Abstract: Accurate time series forecasting is crucial for optimizing resource allocation, industrial production, and urban management, particularly with the growth of cyber-physical and IoT systems.
In my prior article for Fast Company Executive Board, I discussed how open-source AI tools are enabling businesses of every size to solve previously unsolvable business challenges without the need for ...
1 Ecole Polytechnique de Ouagadougou, Ouagadougou, Burkina Faso. 2 Agence National Meteorologie, Ouagadougou, Burkina Faso. Precipitation is a critical meteorological factor that significantly impacts ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...
Electromyography (EMG) signals have gained significant attention due to their potential applications in prosthetics, rehabilitation, and human-computer interfaces. However, the dimensionality of EMG ...
Posts from this topic will be added to your daily email digest and your homepage feed. Gaussian splatting, a new way of capturing 3D content, is taking the AR / VR industry by storm — and could one ...
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