If you want to spoil a sailor's day, then a ship collision is the way to do it. That's why Texas A&M University has come up ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
(NASDAQ: NXXT ), a pioneer in AI-driven energy innovation transforming how energy is produced, managed, and delivered, today ...
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
Abstract: This paper presents a vibration-based machine learning approach for road surface monitoring using smartphone sensors. With Mexico’s road network experiencing significant deterioration and ...
Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
Background: Depression affects more than 350 million people globally. Traditional diagnostic methods have limitations. Analyzing textual data from social media provides new insights into predicting ...
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