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Advancing disease research with AI and Bayesian modeling at UT Arlington
Artificial intelligence can solve problems at remarkable speed, but it's the people developing the algorithms who are truly ...
Artificial intelligence can solve problems at remarkable speed, but it’s the people developing the algorithms who are truly ...
Early-phase oncology trials are undergoing a fundamental shift in study design. Traditional 3+3 dose escalation methods, which have long been the standard for first-in-human cancer studies, are ...
Renewable energies are of paramount importance when it comes to energy consumption. They provide reliable power sources and fuel diversification, which improves energy security and helps reduce the ...
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AI-powered oil spill prediction system can improve emergency response accuracy by up to 25%
Oil spills can be among the most devastating environmental disasters, with the potential to severely damage marine ecosystems ...
A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...
Conspecific negative density dependence (CNDD) has been considered a cornerstone of species coexistence in highly diverse ...
சில முடிவுகள் மறைக்கப்பட்டுள்ளன, ஏனெனில் அவை உங்களால் அணுக முடியாததாக இருக்கலாம்.
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