Deep Learning Model Predicts Adhesive Hydrogel Strength Under Distribution Shift
A dual-modality deep encoder called SIMPLEX achieved the highest R-squared of 0.6712 for predicting adhesion strength of hydrogel formulations collected ...
A dual-modality deep encoder called SIMPLEX achieved the highest R-squared of 0.6712 for predicting adhesion strength of hydrogel formulations collected ...
A new AI model fusing EEG, eye tracking, and physiological signals predicted people's ratings of car cockpit designs with high ...
Researchers report a Mamba-BiLSTM framework with Granger-inspired directional causal fusion that reached 81.86 percent accuracy for multimodal depression detection on ...
A new review finds AI excels within single bone marrow modalities but genuine multimodal fusion systems remain unrealized.
Researchers report an AI and IoT framework that detects ambulances with cameras and audio, achieving 98.4 percent accuracy and flipping ...
A new interpretable AI framework combining large language model embeddings with structured educational data predicted vocational college students' English proficiency ...
A new BERT-EmoShiftNet fusion framework achieves 85.0% accuracy in recognizing psychological stress by integrating semantic, speech, and visual data in ...
A systematic review of 127 studies finds deep learning tools for cerebrovascular planning advancing rapidly, while small vessel segmentation, material ...
A new deep learning model combines bilingual text, cultural pragmatics and wireless sensor data from factory floors to assess whether ...
A new cross-modal attention network combines match video, commentary audio, EEG and eye-tracking data to assess viewer immersion in VR ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine