Abstract: Reliable methods for the neurodevelopmental assessment of infants are essential for early detection of problems that may need prompt interventions. Spontaneous motor activity, or ‘kinetics’, ...
A Multiscale Convolution SAR Image Target Recognition Method Based on Complex-Valued Neural Networks
Abstract: Recent advances in deep learning have driven significant success in synthetic aperture radar (SAR) automatic target recognition, particularly through convolutional neural network (CNN) based ...
Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
3D rendering—the process of converting three-dimensional models into two-dimensional images—is a foundational technology in computer graphics, widely used across gaming, film, virtual reality, and ...
PERRY — A local baker is once again taking his talent to the national stage on Food Network. Sweet Evelyn’s Owner Cory Jones will be competing on the Halloween Baking Championship. The show premieres ...
This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
Gait recognition aims to identify pedestrians based on their unique walking patterns and has gained significant attention due to its wide range of applications. Mamba, a State Space Model, has shown ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine Learning Force Fields (MLFFs) promise to enable general molecular simulations ...
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