AIMC Topic: Deep Learning

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EEG quantization and entropy of multi-step transition probabilities for driver drowsiness detection via LSTM.

Computers in biology and medicine Jul 11, 2025
Detecting driver drowsiness through electroencephalogram (EEG) poses challenges due to the complexity and variability of brain activity across different subjects. This study proposes a feature extraction pipeline combined with a Long Short-Term Memor...
Entropy Sleep Stages Deep Learning Electroencephalography Automobile Driving Markov Chains Signal Processing, Computer-Assisted Female Adult Male Humans Neural Networks, Computer
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Deep learning for diagnosing and grading pterygium: A systematic review and meta-analysis.

Computers in biology and medicine Jul 11, 2025
TOPIC: A systematic review and meta-analysis evaluating the accuracy of DL models in pterygium detection and severity assessment against clinical experts.
Humans Deep Learning Pterygium
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A deep learning approach for objective evaluation of microscopic neuro-drilling craniotomy skills.

Computers in biology and medicine Jul 11, 2025
BACKGROUND: Minimally invasive microscopic and endoscopic neurosurgery demands precise use of high-speed micro-drilling tools to prevent potential complications. Present-day neuro-drilling training methods include cadaveric specimens and surgical sim...
Deep Learning Clinical Competence Microsurgery Humans Animals Craniotomy
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Hierarchical deep learning system for orbital fracture detection and trap-door classification on CT images.

Computers in biology and medicine Jul 11, 2025
OBJECTIVE: To develop and evaluate a hierarchical deep learning system that detects orbital fractures on computed tomography (CT) images and classifies them as depressed or trap-door types.
Orbital Fractures Adolescent Aged Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Humans Male Retrospective Studies Adult Female Middle Aged Deep Learning
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Emotion recognition in EEG Signals: Deep and machine learning approaches, challenges, and future directions.

Computers in biology and medicine Jul 11, 2025
A crucial part of brain-computer interfaces is the use of electroencephalogram (EEG) signals for human emotion identification, which analyzes patterns of brain activity to determine the emotional state. This field of study is becoming increasingly im...
Humans Neural Networks, Computer Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Deep Learning Emotions Machine Learning
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Self-Assembly MXene/PDA@Cotton Fabric Pressure Sensor Integrated with Deep Learning for Sign Language Recognition.

ACS applied materials & interfaces Jul 11, 2025
In recent years, smart textiles and flexible wearable products have garnered significant attention in fields such as human-computer interaction, medical rehabilitation training, and motion monitoring. Flexible pressure sensors have attracted signific...
Wearable Electronic Devices Pressure Humans Transition Elements Sign Language Cotton Fiber Polymers Deep Learning Indoles Nitrites
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Antimicrobial Peptides Design Using Deep Learning and Rational Modifications: Activity in Bacteria, Candida albicans, and Cancer Cells.

Current microbiology Jul 11, 2025
Resistance to antimicrobial agents has become a global threat, estimated to cause 10-million deaths annually by 2050. Antimicrobial peptides are emerging as an alternative and offer advantages over traditional antibiotics. Antimicrobial peptides gene...
Candida albicans Staphylococcus aureus Pseudomonas aeruginosa Antimicrobial Peptides MCF-7 Cells Microbial Sensitivity Tests Cell Line, Tumor Bacteria Antineoplastic Agents Humans Deep Learning Anti-Bacterial Agents Drug Design
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ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases.

Scientific reports Jul 11, 2025
The increasing global population, coupled with the diminishing availability of arable land, has rendered the challenge of ensuring food security more pronounced. The prompt and precise identification of plant diseases is essential for reducing crop l...
Crops, Agricultural Plant Diseases Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning Plant Leaves
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ModelS4Apnea: leveraging structured state space models for efficient sleep apnea detection from ECG signals.

Physiological measurement Jul 11, 2025
. Sleep apnea is a common sleep disorder associated with severe health risks, necessitating accurate and efficient detection methods.. This study proposes ModelS4Apnea, a deep learning framework for sleep apnea detection from electrocardiogram (ECG) ...
Sleep Apnea Syndromes Humans Neural Networks, Computer Deep Learning Electrocardiography Signal Processing, Computer-Assisted
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Optimizing EV charging stations and power trading with deep learning and path optimization.

PloS one Jul 11, 2025
The rapid growth of electric vehicles (EVs) presents significant challenges for power grids, particularly in managing fluctuating demand and optimizing the placement of charging infrastructure. This study proposes an integrated framework combining de...
Humans Algorithms Deep Learning Electricity Electric Power Supplies
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