Multimodal model links tourist images, reviews and ratings to satisfaction
A multimodal machine-learning system combining tourist images, reviews and ratings achieved 97.68% accuracy on a balanced benchmark while identifying comfort ...
A multimodal machine-learning system combining tourist images, reviews and ratings achieved 97.68% accuracy on a balanced benchmark while identifying comfort ...
Researchers in India used drone imagery and a ResNet-50-based hybrid deep learning model to classify three rice establishment methods with ...
Researchers have built a deep learning framework that detects Treacher Collins syndrome from facial images on an NVIDIA Jetson Orin ...
Researchers have developed an attention-enhanced residual network that converts structural vibration data into Markov transition field images and detects local ...
A unified neural architecture now generates English image captions and translates them into five languages in a single end-to-end model, ...
Researchers have built an AI framework that combines live video of floc formation, real-time turbidity sensing and physics-based equations to ...
Researchers have developed TamperNet, a hybrid spatio-temporal deep learning framework that detects frame duplication, deletion, cloning, splicing, and inpainting in ...
A Moroccan research team has developed a hybrid convolutional neural network with local and global attention modules that reaches 95.87 ...
University of Florida researchers showed that a ResNet-50 deep learning model can distinguish canine lymphoma from reactive lymphoid hyperplasia in ...
A multi-view deep learning framework can objectively recognize clinically defined mutual eye contact between children and assessors during naturalistic free ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine