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Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...
At the advanced level, deep learning and reinforcement learning are applied for real-time personalization, dynamic pricing, and multimodal coordination. These models enable transport systems to adapt ...
The thesis not only showcases technical advancements but also underscores the importance of interpretability and scalability in agricultural AI solutions. Farmers and stakeholders are more likely to ...
A research team at UCLA, led by Professor Aydogan Ozcan, has introduced BlurryScope, a compact, cost-effective scanning ...
NEW YORK--(BUSINESS WIRE)--Cognitiv, the leading advanced performance partner powered by deep learning, today announced a slate of mission-critical conversations with brand luminaries at Cannes Lions ...
10don MSN
Multimodal deep learning model improves risk prediction for cervical cancer radiotherapy decisions
Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...
Researchers develop multimodal deep learning model to enhance precision radiotherapy decision-making
Researchers developed a deep learning-based multimodal prognostic model that shows strong potential to improve disease-free ...
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