AIMC Topic: Deep Learning

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The effects of learning experience on college students' deep english learning: a study of the chain mediation effect of motivation and strategy.

PloS one Jun 4, 2025
This study focuses on the impact of learning experience on college students' deep learning of English and the chain-mediated effects of motivation and strategy. In the context of globalization, English is crucial for university students, but traditio...
Motivation Young Adult Adolescent Learning Adult Female Universities Students Humans Male Deep Learning Language
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Verification and application of deep learning models in daily sports activities of teenagers.

PloS one Jun 4, 2025
With the development of smart wearable devices and deep learning (DL) technology, the monitoring and analysis of daily sports activities of teenagers face new opportunities. At present, traditional CNN (Convolutional Neural Network) models are mostly...
Humans Racquet Sports Neural Networks, Computer Deep Learning Adolescent Female Sports Male
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Application of ConvNeXt with transfer learning and data augmentation for malaria parasite detection in resource-limited settings using microscopic images.

PloS one Jun 4, 2025
Malaria continues to be a severe health problem across the globe, especially within resource-limited areas which lack both skilled diagnostic personnel and diagnostic equipment. This study investigates the use of deep learning diagnosis for malaria t...
Plasmodium falciparum Malaria Resource-Limited Settings Microscopy Deep Learning Image Processing, Computer-Assisted Humans
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Towards sustainable solutions: Effective waste classification framework via enhanced deep convolutional neural networks.

PloS one Jun 4, 2025
As industrialization and the development of smart cities progress, effective waste collection, classification, and management have become increasingly vital. Recycling processes depend on accurately identifying and restoring waste materials to their ...
Neural Networks, Computer Recycling Waste Management Deep Learning Convolutional Neural Networks
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A systematic review: Brain age gap as a promising early diagnostic biomarker for Alzheimer's disease.

Journal of the neurological sciences Jun 3, 2025
Alzheimer's disease (AD) is a progressive neurodegenerative disorder for which there is currently no cure, and its incidence is on the rise. Early detection is essential for timely intervention and slowing the progression of the disease. While the br...
Machine Learning Biomarkers Brain Humans Alzheimer Disease Early Diagnosis Neuroimaging Aging Deep Learning
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Gradient-driven pixel connectivity convolutional neural networks classification based on U-Net lung nodule segmentation.

Medical engineering & physics Jun 3, 2025
Lung cancer is a significant global health issue, heavily burdening healthcare systems. Early detection is crucial for improving patient outcomes. This study proposes a diagnostic aid system for the early detection and classification of lung nodules ...
Image Processing, Computer-Assisted Lung Neoplasms Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Lung Humans Convolutional Neural Networks
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Disruption of Hsp70.14-BAG2 Protein-Protein interactions using deep Learning-Driven peptide design and molecular simulations.

Computers in biology and medicine Jun 3, 2025
Protein-protein interactions (PPIS) are critical in proteostasis, stress response, and disease progression. Targeting the interaction between Hsp70.14 and BAG2, a co-chaperone implicated in oncogenic survival, offers a promising therapeutic approach....
Chaperonin 60 Antimicrobial Peptides Mitochondrial Proteins Deep Learning Protein Binding HSP70 Heat-Shock Proteins Molecular Chaperones Molecular Dynamics Simulation Humans Molecular Docking Simulation
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Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges.

Computers in biology and medicine Jun 3, 2025
BACKGROUND: Artificial Intelligence is transforming medical imaging, particularly in the analysis of bone metastases (BM), a serious complication of advanced cancers. Machine learning and deep learning techniques offer new opportunities to improve de...
Humans Neural Networks, Computer Deep Learning Bone Neoplasms Artificial Intelligence Machine Learning
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DFT_ANPD: A dual-feature two-sided attention network for anticancer natural products detection.

Computers in biology and medicine Jun 3, 2025
The exploration of anticancer drugs has aimed at more effective, adaptable, and less harmful treatments, with natural products pivotal in cancer research. In addition to experimental techniques for identifying anticancer drug candidates, computationa...
Humans Deep Learning Biological Products Neoplasms Antineoplastic Agents
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Radiomics and deep learning characterisation of liver malignancies in CT images - A systematic review.

Computers in biology and medicine Jun 3, 2025
BACKGROUND: Computed tomography (CT) has been widely used as an effective tool for liver imaging due to its high spatial resolution, and ability to differentiate tissue densities, which contributing to comprehensive image analysis. Recent advancement...
Image Processing, Computer-Assisted Neural Networks, Computer Humans Deep Learning Radiomics Tomography, X-Ray Computed Liver Neoplasms
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