Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...
Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...
A new deep learning framework can accurately classify four molecular subgroups of medulloblastoma and predict critical ...
A research team has developed ChatLeafDisease (ChatLD) — a training-free crop disease classification framework built on the ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...
The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...
The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
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