A research team has developed a cutting-edge deep learning framework, TM-WSNet, that dramatically improves the accuracy of ...
A research team has developed a novel deep learning framework, RsegNet, to revolutionize how rubber tree plantations are ...
Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.
Trending Photos In one of the major breakthroughs in the insurance sector, an experiment by a researcher, Chetan Sasidhar Ravi, which was published in the journal ThinkAI by Springer, has come up with ...
Abstract: We comprehensively compare thirteen machine learning models for forecasting urban air pollutants. However, the accuracy of existing prediction models varies as a function of what specific ...
SANTA CLARA, CA - October 30, 2025 - - The global demand for Explainable AI (XAI) is accelerating as organizations seek ...
New research shows that open source ChatGPT-style AI setups can potentially route callers to the right person in a call center using natural language, without following infuriating menu choices that ...
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Invasive plants are here to stay in CT. One UConn professor is creating an AI tool to stop new ones.
There are over 100 invasive plant species wreaking havoc on the state’s forests and waterways, but new technology may help ...
A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...
Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...
Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
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