Researchers have developed a machine-learning workflow to optimize the output force of photo-actuated organic crystals. Using ...

Ocean observation today is confronted with significant challenges, including limited adaptability to complex environments, low efficiency in handling ...

AI diagnoses brain tumors with up to 96.7% accuracy using deep learning and clinical data fusion—see how it works and why it matters.

Deep learning is a subset of machine learning, which itself is a branch of artificial intelligence (AI). It involves training ...

Traditional features struggle with temporal correspondence. While deep network features ... convolution operator as our student network. Through discriminability augmented distillation, we compress ...

Institute of Advanced Materials, Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation, Beijing University of Civil Engineering and Architecture, Beijing ...

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To address this issue, this article proposes a deep feature fusion network (DFFNet) for full-scale change detection in remote sensing images. DFFNet enhances the accuracy of boundary information in ...

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences and Southwest Forestry University have developed an advanced neural network ... proved that deep learning techniques ...