AIMC Topic: Neural Networks, Computer

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[Localizing target for transcranial electrical stimulation in epilepsy patients combining scalp electroencephalogram and neural computational model].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2025
For patients with MRI-negative drug-resistant epilepsy, noninvasive localization of targets for transcranial electrical stimulation (tES) remains a clinical challenge. This study proposes a novel target localization approach that integrates electroen...
Drug Resistant Epilepsy Electrocorticography Magnetic Resonance Imaging Brain Mapping Electroencephalography Epilepsy Scalp Transcranial Direct Current Stimulation Brain Computer Simulation Adult Humans Neural Networks, Computer
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[A motor imagery decoding study integrating differential attention with a multi-scale adaptive temporal convolutional network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2025
Motor imagery electroencephalogram (MI-EEG) decoding algorithms face multiple challenges. These include incomplete feature extraction, susceptibility of attention mechanisms to distraction under low signal-to-noise ratios, and limited capture of long...
Humans Neural Networks, Computer Algorithms Brain-Computer Interfaces Signal-To-Noise Ratio Imagination Electroencephalography Signal Processing, Computer-Assisted Attention
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Neural Associative Skill Memories for Safer Robotics and Modeling Human Sensorimotor Repertoires.

Neural computation Dec 22, 2025
Modern robots face a challenge shared by biological systems: how to learn and adaptively express multiple sensorimotor skills. A key aspect of this is developing an internal model of expected sensorimotor experiences to detect and react to unexpected...
Motor Skills Feedback, Sensory Association Learning Robotics Memory Humans Neural Networks, Computer Learning
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Working Memory and Self-Directed Inner Speech Enhance Multitask Generalization in Active Inference.

Neural computation Dec 22, 2025
This simulation study shows how a set of working memory tasks can be acquired simultaneously through interaction between a stacked recurrent neural network (RNN) and multiple working memories. In these tasks, temporal patterns are provided, followed ...
Speech Memory, Short-Term Generalization, Psychological Humans Neural Networks, Computer Computer Simulation
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Evaluation of Bio-Inspired Models under Different Learning Settings for Energy Efficiency in Network Traffic Prediction.

International journal of neural systems Dec 15, 2025
Cellular traffic forecasting is a critical task that enables network operators to efficiently allocate resources and address anomalies in rapidly evolving environments. The exponential growth of data collected from base stations poses significant cha...
Machine Learning Algorithms Humans Forecasting Neural Networks, Computer
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Enabling Early Identification of Malignant Vertebral Compression Fractures Through 2.5D Convolutional Neural Network Model With CT Image Analysis.

Spine Dec 15, 2025
STUDY DESIGN: This study used a retrospective data analysis approach combined with model development and validation.
Osteoporotic Fractures Spinal Fractures Fractures, Compression Aged Aged, 80 and over Male Middle Aged Retrospective Studies Convolutional Neural Networks Spinal Neoplasms Tomography, X-Ray Computed Humans Female Neural Networks, Computer
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Micropore array-based SERS sensor assisted by convolutional neural networks for subsurface biotoxic-free detection of interstitial fluid in bioassays.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 15, 2025
Accurate and sensitive detection of small-molecule metabolites such as uric acid, glucose, and lactic acid is critical in biomedical diagnostics and clinical applications. Traditional detection methods often face limitations such as complex procedure...
Extracellular Fluid Limit of Detection Uric Acid Glucose Biological Assay Lactic Acid Convolutional Neural Networks Biosensing Techniques Spectrum Analysis, Raman Animals Swine Neural Networks, Computer
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Beyond current boundaries: Integrating deep learning and AlphaFold for enhanced protein structure prediction from low-resolution cryo-EM maps.

Computational biology and chemistry Dec 1, 2025
Constructing atomic models from cryo-electron microscopy (cryo-EM) maps is a crucial yet intricate task in structural biology. While advancements in deep learning, such as convolutional neural networks (CNNs) and graph neural networks (GNNs), have sp...
Cryoelectron Microscopy Proteins Neural Networks, Computer Models, Molecular Deep Learning Protein Conformation
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Artificial intelligence model for application in dental traumatology.

European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry Dec 1, 2025
BACKGROUND: In recent years, healthcare systems have witnessed a tremendous advancement in diagnostic tools and technologies. The advent of artificial intelligence (AI) has enabled a paradigm shift in the practice of health sciences particularly in m...
Humans Neural Networks, Computer Artificial Intelligence Deep Learning Tooth Crown Tooth Fractures Tooth Root Tooth Injuries
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Phantom-Based Ultrasound-ECG Deep Learning Framework for Prospective Cardiac Computed Tomography.

IEEE transactions on bio-medical engineering Dec 1, 2025
OBJECTIVE: We present the first multimodal deep learning framework combining ultrasound (US) and electrocardiography (ECG) data to predict cardiac quiescent periods (QPs) for optimized computed tomography angiography gating (CTA).
Heart Humans Phantoms, Imaging Neural Networks, Computer Deep Learning Electrocardiography
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