Advancements in detecting pre-ignition in hydrogen engines through machine learning could enhance engine reliability and support the shift to clean transport.
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Poster session location: Lawson Commons. Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge ...
The Machine Learning in Transportation Market size is expected to be worth around USD 78.5 Billion by 2033, growing at a CAGR of 21.5% ...
Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...
Discover how the global Machine Learning as a Service (MLaaS) market, valued at USD 4.12 billion in 2022, is projected to ...
Background/aims The antiseizure medication, vigabatrin, is associated with visual field loss (VAVFL). However, the fields can be challenging to interpret due to unfamiliarity with the characteristics ...
Economists have developed different types of models describing the interaction of agents in markets. Early models in general equilibrium theory describe agents taking prices as given and do not ...
XRP is trading at $3, gaining 4.39% in the past 24 hours, making it the strongest performer among the top ten cryptocurrencies by market capitalization. While this rebound offers some relief, it comes ...
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