AIMC Topic: Deep Learning

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Deep learning-based spatial optimization of green and cool roof implementation for urban heat mitigation.

Journal of environmental management Apr 23, 2025
Intensifying urban heat extremes require efficient mitigation strategies; therefore, we propose a methodological framework for optimizing the implementation of urban green and cool roofs to reduce heat stress while maximizing their cost-effectiveness...
Cities Hot Temperature Algorithms Climate Change Deep Learning
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Evaluating and mitigating bias in AI-based medical text generation.

Nature computational science Apr 23, 2025
Artificial intelligence (AI) systems, particularly those based on deep learning models, have increasingly achieved expert-level performance in medical applications. However, there is growing concern that such AI systems may reflect and amplify human ...
Humans Artificial Intelligence Algorithms Male Deep Learning Female Bias Adult
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Dynamic Hierarchical Convolutional Attention Network for Recognizing Motor Imagery Intention.

IEEE transactions on cybernetics Apr 23, 2025
The neural activity patterns of localized brain regions are crucial for recognizing brain intentions. However, existing electroencephalogram (EEG) decoding models, especially those based on deep learning, predominantly focus on global spatial feature...
Humans Intention Imagination Adult Male Electroencephalography Signal Processing, Computer-Assisted Deep Learning Female Young Adult Neural Networks, Computer Brain
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Torg-Pavlov ratio qualification to diagnose developmental cervical spinal stenosis based on HRViT neural network.

BMC musculoskeletal disorders Apr 23, 2025
BACKGROUND: Developing computer-assisted methods to measure the Torg-Pavlov ratio (TPR), defined as the ratio of the sagittal diameter of the cervical spinal canal to the sagittal diameter of the corresponding vertebral body on lateral radiographs, c...
Middle Aged Deep Learning Adult Male Female Humans Spinal Stenosis Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Young Adult Spinal Canal Cervical Vertebrae
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Improved food image recognition by leveraging deep learning and data-driven methods with an application to Central Asian Food Scene.

Scientific reports Apr 23, 2025
The burden of diet-related diseases is high in Central Asia. In recent years, the field of food computing has gained prominence due to advancements in computer vision (CV) and the increasing use of smartphones and social media. These technologies pro...
Asia Image Processing, Computer-Assisted Food Algorithms Humans Deep Learning
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Ambiguity-aware semi-supervised learning for leaf disease classification.

Scientific reports Apr 23, 2025
In deep learning, Semi-Supervised Learning is a highly effective technique to enhances neural network training by leveraging both labeled and unlabeled data. This process involves using a trained model to generate pseudo labels to the unlabeled sampl...
Neural Networks, Computer Deep Learning Plant Leaves Algorithms Supervised Machine Learning Musa Plant Diseases
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Using deep learning models to decode emotional states in horses.

Scientific reports Apr 23, 2025
In this study, we explore machine learning models for predicting emotional states in ridden horses. We manually label the images to train the models in a supervised manner. We perform data exploration and use different cropping methods, mainly based ...
Deep Learning Emotions Behavior, Animal Horses Neural Networks, Computer Animals
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A hybrid variational autoencoder and WGAN with gradient penalty for tertiary protein structure generation.

Scientific reports Apr 23, 2025
Elucidating the tertiary structure of proteins is important for understanding their functions and interactions. While deep neural networks have advanced the prediction of a protein's native structure from its amino acid sequence, the focus on a singl...
Models, Molecular Protein Structure, Tertiary Autoencoder Computational Biology Proteins Algorithms Deep Learning Neural Networks, Computer
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Single Molecule Localization Super-resolution Dataset for Deep Learning with Paired Low-resolution Images.

Scientific data Apr 23, 2025
Deep learning super-resolution microscopy has advanced rapidly in recent years. Super-resolution images acquired by single molecule localization microscopy (SMLM) are ideal sources for high-quality datasets. However, the scarcity of public datasets l...
Endoplasmic Reticulum Microscopy, Fluorescence Single Molecule Imaging Deep Learning Image Processing, Computer-Assisted
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DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions.

BMC biology Apr 23, 2025
BACKGROUND: Numerous studies have shown that circRNA can act as a miRNA sponge, competitively binding to miRNAs, thereby regulating gene expression and disease progression. Due to the high cost and time-consuming nature of traditional wet lab experim...
Humans Algorithms MicroRNAs RNA, Circular Deep Learning Computational Biology
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