AIMC Topic: Neural Networks, Computer

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Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network.

Sensors (Basel, Switzerland) Apr 27, 2021
In recent years, electroencephalographic (EEG) signals have been intensively used in the area of emotion recognition, partcularly in distress identification due to its negative impact on physical and mental health. Traditionally, brain activity has b...
Emotions Electroencephalography Neural Networks, Computer Algorithms Brain
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CSConv2d: A 2-D Structural Convolution Neural Network with a Channel and Spatial Attention Mechanism for Protein-Ligand Binding Affinity Prediction.

Biomolecules Apr 27, 2021
The binding affinity of small molecules to receptor proteins is essential to drug discovery and drug repositioning. Chemical methods are often time-consuming and costly, and models for calculating the binding affinity are imperative. In this study, w...
Amino Acid Sequence Ligands Protein Binding Proteins Drug Repositioning Neural Networks, Computer Forecasting Drug Discovery Deep Learning
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A calibrated deep learning ensemble for abnormality detection in musculoskeletal radiographs.

Scientific reports Apr 27, 2021
Musculoskeletal disorders affect the locomotor system and are the leading contributor to disability worldwide. Patients suffer chronic pain and limitations in mobility, dexterity, and functional ability. Musculoskeletal (bone) X-ray is an essential t...
Calibration Upper Extremity Musculoskeletal Abnormalities Deep Learning Image Processing, Computer-Assisted Radiography Humans Neural Networks, Computer Databases, Factual
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WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans.

PLoS computational biology Apr 27, 2021
An important model system for understanding genes, neurons and behavior, the nematode worm C. elegans naturally moves through a variety of complex postures, for which estimation from video data is challenging. We introduce an open-source Python packa...
Animals Neural Networks, Computer Models, Biological Caenorhabditis elegans Algorithms Computer Simulation
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Diagnosis of Alzheimer's Disease Severity with fMRI Images Using Robust Multitask Feature Extraction Method and Convolutional Neural Network (CNN).

Computational and mathematical methods in medicine Apr 27, 2021
The automatic diagnosis of Alzheimer's disease plays an important role in human health, especially in its early stage. Because it is a neurodegenerative condition, Alzheimer's disease seems to have a long incubation period. Therefore, it is essential...
Alzheimer Disease Image Interpretation, Computer-Assisted Early Diagnosis Decision Trees Discriminant Analysis Severity of Illness Index Mental Status and Dementia Tests Algorithms Deep Learning Humans Computational Biology Databases, Factual Functional Neuroimaging Neural Networks, Computer Brain Support Vector Machine Magnetic Resonance Imaging
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Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG.

Neural plasticity Apr 27, 2021
Epileptic focus localization by analysing intracranial electroencephalogram (iEEG) plays a critical role in successful surgical therapy of resection of the epileptogenic lesion. However, manual analysis and classification of the iEEG signal by clinic...
Automation Deep Learning Algorithms Fourier Analysis Humans Electrocorticography Epilepsy Databases, Factual Neural Networks, Computer Reproducibility of Results
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Performance Assessment of Certain Machine Learning Models for Predicting the Major Depressive Disorder among IT Professionals during Pandemic times.

Computational intelligence and neuroscience Apr 27, 2021
Major depressive disorder (MDD) is the most common mental disorder in the present day as all individuals' lives, irrespective of being employed or unemployed, is going through the depression phase at least once in their lifetime. In simple terms, it ...
Humans Neural Networks, Computer Machine Learning Pandemics Adult Deep Learning Depressive Disorder, Major Work Information Technology
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Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN.

PloS one Apr 27, 2021
Accurate prediction of cancer stage is important in that it enables more appropriate treatment for patients with cancer. Many measures or methods have been proposed for more accurate prediction of cancer stage, but recently, machine learning, especia...
Prognosis Humans Neoplasms Neural Networks, Computer Principal Component Analysis Image Processing, Computer-Assisted Machine Learning Neoplasm Staging Mutation
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Growth strategy determines the memory and structural properties of brain networks.

Neural networks : the official journal of the International Neural Network Society Apr 26, 2021
The interplay between structure and function affects the emerging properties of many natural systems. Here we use an adaptive neural network model that couples activity and topological dynamics and reproduces the experimental temporal profiles of syn...
Neural Networks, Computer Brain
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Comparative study of machine learning methods for COVID-19 transmission forecasting.

Journal of biomedical informatics Apr 26, 2021
Within the recent pandemic, scientists and clinicians are engaged in seeking new technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning, as an essential aspect of artificial intelligence, on past epidemics offers a new...
Humans Pandemics COVID-19 Forecasting Neural Networks, Computer Artificial Intelligence Machine Learning Mexico Saudi Arabia France Russia Brazil Deep Learning India United States
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