AIMC Topic: Neural Networks, Computer

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Polynomial, Neural Network, and Spline Wavelet Models for Continuous Wavelet Transform of Signals.

Sensors (Basel, Switzerland) Sep 26, 2021
In this paper a modified wavelet synthesis algorithm for continuous wavelet transform is proposed, allowing one to obtain a guaranteed approximation of the maternal wavelet to the sample of the analyzed signal (overlap match) and, at the same time, a...
Neural Networks, Computer Algorithms Wavelet Analysis
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Using different machine learning models to classify patients into mild and severe cases of COVID-19 based on multivariate blood testing.

Journal of medical virology Sep 25, 2021
COVID-19 is a serious respiratory disease. The ever-increasing number of cases is causing heavier loads on the health service system. Using 38 blood test indicators on the first day of admission for the 422 patients diagnosed with COVID-19 (from Janu...
SARS-CoV-2 Severity of Illness Index Neural Networks, Computer COVID-19 Area Under Curve Logistic Models Blood Chemical Analysis Support Vector Machine Hematologic Tests Humans
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Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT.

NeuroImage Sep 25, 2021
Automatic methods for feature extraction, volumetry, and morphometric analysis in clinical neuroscience typically operate on images obtained with magnetic resonance (MR) imaging equipment. Although CT scans are less expensive to acquire and more wide...
Magnetic Resonance Imaging Benchmarking Male Deep Learning Gray Matter Cerebral Cortex White Matter Image Interpretation, Computer-Assisted Neuroimaging Brain Tomography, X-Ray Computed Female Aged Neural Networks, Computer Algorithms Humans Birth Cohort
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Whole brain segmentation with full volume neural network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 25, 2021
Whole brain segmentation is an important neuroimaging task that segments the whole brain volume into anatomically labeled regions-of-interest. Convolutional neural networks have demonstrated good performance in this task. Existing solutions, usually ...
Magnetic Resonance Imaging Neuroimaging Brain Image Processing, Computer-Assisted Neural Networks, Computer
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Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness.

Sensors (Basel, Switzerland) Sep 25, 2021
Road traffic accidents have been listed in the top 10 global causes of death for many decades. Traditional measures such as education and legislation have contributed to limited improvements in terms of reducing accidents due to people driving in und...
Humans Attention Neural Networks, Computer Algorithms Forecasting
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Deep Sparse Learning for Automatic Modulation Classification Using Recurrent Neural Networks.

Sensors (Basel, Switzerland) Sep 25, 2021
Deep learning models, especially recurrent neural networks (RNNs), have been successfully applied to automatic modulation classification (AMC) problems recently. However, deep neural networks are usually overparameterized, i.e., most of the connectio...
Motion Internet of Things Algorithms Neurons Neural Networks, Computer
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Machine learning methods for prediction of food effects on bioavailability: A comparison of support vector machines and artificial neural networks.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Sep 24, 2021
Despite countless advances in recent decades across various in vitro, in vivo and in silico tools, anticipation of whether a drug will show a human food effect (FE) remains challenging. One means to predict potential FE involves probing any dependenc...
Neural Networks, Computer Humans Algorithms Machine Learning Databases, Factual Support Vector Machine
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A comparative analysis of eleven neural networks architectures for small datasets of lung images of COVID-19 patients toward improved clinical decisions.

Computers in biology and medicine Sep 24, 2021
The 2019 novel severe acute respiratory syndrome coronavirus 2-SARS-CoV2, commonly known as COVID-19, is a highly infectious disease that has endangered the health of many people around the world. COVID-19, which infects the lungs, is often diagnosed...
Lung Humans Deep Learning COVID-19 RNA, Viral Neural Networks, Computer SARS-CoV-2
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Deep_CNN_LSTM_GO: Protein function prediction from amino-acid sequences.

Computational biology and chemistry Sep 24, 2021
Protein amino acid sequences can be used to determine the functions of the protein. However, determining the function of a single protein requires many resources and a tremendous amount of time. Computational Intelligence methods such as Deep learnin...
Amino Acid Sequence Neural Networks, Computer Computational Biology Proteins
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Recognition of Fine-Grained Walking Patterns Using a Smartwatch with Deep Attentive Neural Networks.

Sensors (Basel, Switzerland) Sep 24, 2021
Generally, people do various things while walking. For example, people frequently walk while looking at their smartphones. Sometimes we walk differently than usual; for example, when walking on ice or snow, we tend to waddle. Understanding walking pa...
Humans Walking Machine Learning Neural Networks, Computer Algorithms
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