The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Computer vision libraries have changed how AI models classify images. These tools help digital systems understand visual data very well. They allow AI models to spot complex patterns and objects in ...
microCLIP is a lightweight self-training framework that adapts CLIP for fine-grained image classification without requiring labeled data. While CLIP is strong in zero-shot transfer, it primarily ...
Introduction: The integration of artificial intelligence (AI) and machine learning technologies into healthcare, particularly for enhancing mental health diagnostics, represents a critical frontier in ...
ABSTRACT: Rivers still play an important role in our societies, mainly as a water resource and a place of recreation, but nowadays, human activities have led to a profound modification of the natural ...
1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS), Beijing, China 2 ...
Copyright: © 2025 The Authors. Published by Elsevier Ltd. Image classification algorithms were trained on 8283 manually labeled food package images, annotated and ...
After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...
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