Traffic World Model Generates Realistic Roadside Multimodal Data
Researchers at Beihang University have developed a unified framework called the Traffic World Model, or TWM, designed to address the ...
Researchers at Beihang University have developed a unified framework called the Traffic World Model, or TWM, designed to address the ...
A multicenter retrospective study published in Frontiers in Oncology reports that a multimodal artificial intelligence model can predict the histological ...
An automated framework combining acoustic and linguistic speech features achieved high accuracy in detecting Parkinson's disease and characterizing associated mild ...
Researchers have released a comprehensive, processed dataset derived from German-language Telegram chats to facilitate the study of conspiracy theories and ...
A prospective cohort study of 374,751 UK Biobank participants found that higher circulating levels of branched-chain amino acids are associated ...
A multicenter study demonstrates that integrating clinical, radiomics, habitat, and deep learning MRI features improves preoperative prediction of axillary lymph ...
A multimodal framework modeling evidence trust improved cancer survival predictions across several patient cohorts while revealing performance attenuation under domain ...
A multimodal machine learning nomogram combining clinical, radiomics, and pathomics features improved overall survival risk stratification in patients with IDH-wildtype ...
Atmospheric researchers have developed a multimodal polarimetric retrieval method that measures coexistence of cloud droplets and raindrops using airborne cloudbow ...
An audit of multimodal engagement decoders reveals that gaze features drive predictive performance while brain activity contributes minimal unique signal.
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© 2025 Scienmag - Science Magazine