NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
Cooperative autonomous driving represents the frontier of intelligent transportation systems, where vehicles, infrastructure, and other road users share ...
Space.com on MSNOpinion
Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results