A research team has mapped how machine learning is transforming the global tea industry, revealing that data-driven ...
The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...
By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
This Research Topic is in collaboration with the <a href=" in FinTech and AI 2024 conference. Extended versions of work presented at the conference are welcome. <br/><br/>In today's rapidly evolving ...
| DataM Intelligence AUSTIN, Texas and TOKYO, Nov. 17, 2025 /PRNewswire/ -- According to DataM Intelligence, the AI in Personalized Nutrition Market Size reached USD 1.12 billion in 2024 and is ...
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply ...
The discovery of gravitational waves in 2015 marked a turning point in our understanding of the universe. But detecting these ...
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
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