Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to standard antidepressant medication. By analyzing electrical activity in the ...
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 ...
Computers close computerA device that processes information by following a set of rules called a program. and digital devices work by storing and processing information. If information has been ...
Abstract: Audio-visual approaches involving visual inputs have laid the foundation for recent progress in speech separation. However, the optimization of the concurrent usage of auditory and visual ...
Abstract: Critical patterns are layout patterns that cannot be corrected by standard MB-OPC with enough accuracy. Since they are infrequent, lithography applications targeting critical patterns such ...
Background: Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) has a multifactorial etiology where diet is considered an important factor. This study aimed to develop a predictive model for CP ...
This is the official repository for the paper "SpectralGPT: Spectral Remote Sensing Foundation Model". The foundation model has recently garnered significant attention due to its potential to ...
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