AIMC Topic: Neural Networks, Computer

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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 ...
Waste Management Convolutional Neural Networks Recycling Neural Networks, Computer Deep Learning
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Dynamically weighted graph neural network for detection of early mild cognitive impairment.

PloS one Jun 4, 2025
Alzheimer's disease (AD) is a prevalent neurodegenerative disease that primarily affects the elderly population. The early detection of mild cognitive impairment (MCI) holds significant clinical importance for prompt intervention and treatment of AD....
Male Cognitive Dysfunction Magnetic Resonance Imaging Female Humans Algorithms Aged Brain Nerve Net Neural Networks, Computer Alzheimer Disease Graph Neural Networks Early Diagnosis
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Prediction and accuracy improvement of insulin pump in-fusion deviation based on LSTM and PID.

PloS one Jun 4, 2025
In order to further improve the injection precision of the PH300 insulin pump, this paper optimizes and improves the mechanical structure and control algorithm of the PH300. The improved PH300 uses a proportional-integral-derivative controller based ...
Insulin Insulin Infusion Systems Neural Networks, Computer Humans Algorithms
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Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection.

Scientific reports Jun 3, 2025
Electrical impedance spectroscopy (EIS) is a powerful tool used to investigate the properties of materials and biological tissues. This study presents one of the first applications of EIS for the detection and classification of oral potentially malig...
Humans Neural Networks, Computer Animals Swine Female Deep Learning Mouth Mucosa Dielectric Spectroscopy Mouth Neoplasms
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Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning.

Scientific reports Jun 3, 2025
This study aims to enhance the accuracy and efficiency of energy consumption prediction during exercise training and address the limitations of existing methods in terms of data feature extraction, model complexity, and adaptability to practical appl...
Neural Networks, Computer Exercise Humans Energy Metabolism Accelerometry Deep Learning
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FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Scientific reports Jun 3, 2025
Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung cancer, particularly adenocarcinoma, is one of the deadliest forms and severely impacts human life. Early diagnosis and appropriate treatment significantl...
Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Algorithms Tomography, X-Ray Computed Humans Neural Networks, Computer
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A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation.

Journal of medical Internet research Jun 3, 2025
BACKGROUND: The COVID-19 pandemic has highlighted the need for robust and adaptable diagnostic tools capable of detecting the disease from diverse and continuously evolving data sources. Machine learning models, particularly convolutional neural netw...
Reproducibility of Results SARS-CoV-2 Cough Machine Learning COVID-19 Humans Neural Networks, Computer
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An interpretable deep learning approach for autism spectrum disorder detection in children using NASNet-mobile.

Biomedical physics & engineering express Jun 3, 2025
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder featuring impaired social interactions and communication abilities engaging the individuals in a restrictive or repetitive behaviour. Though incurable early detection and in...
Algorithms Autism Spectrum Disorder Brain Humans Neural Networks, Computer Child, Preschool Child Neuroimaging Magnetic Resonance Imaging Deep Learning Adolescent Female Male
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Memristive neuromorphic interfaces: integrating sensory modalities with artificial neural networks.

Materials horizons Jun 3, 2025
The advent of the Internet of Things (IoT) has led to exponential growth in data generated from sensors, requiring efficient methods to process complex and unstructured external information. Unlike conventional von Neumann sensory systems with separa...
Neural Networks, Computer Neurons Humans
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Ultra-High-Resolution Photon-Counting-Detector CT with a Dedicated Denoising Convolutional Neural Network for Enhanced Temporal Bone Imaging.

AJNR. American journal of neuroradiology Jun 3, 2025
BACKGROUND AND PURPOSE: Ultra-high-resolution (UHR) photon-counting-detector (PCD) CT improves image resolution but increases noise, necessitating the use of smoother reconstruction kernels that reduce resolution below the 0.125-mm maximum spatial re...
Humans Neural Networks, Computer Tomography, X-Ray Computed Signal-To-Noise Ratio Photons Temporal Bone Convolutional Neural Networks Radiographic Image Interpretation, Computer-Assisted
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