AIMC Topic: Neural Networks, Computer

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CD-NuSS: A Web Server for the Automated Secondary Structural Characterization of the Nucleic Acids from Circular Dichroism Spectra Using Extreme Gradient Boosting Decision-Tree, Neural Network and Kohonen Algorithms.

Journal of molecular biology Aug 22, 2020
Nucleic acids exhibit a repertoire of conformational preference depending on the sequence and environment. Circular dichroism (CD) is an essential and valuable tool for monitoring such secondary structural conformations of nucleic acids. Nonetheless,...
Circular Dichroism Automation Nucleic Acids Nucleic Acid Conformation Decision Trees Internet Neural Networks, Computer Algorithms User-Computer Interface Software
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H and l-l state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2020
In this paper, a protocol-based finite-horizon H and l-l estimation approach is put forward to solve the state estimation problem for discrete-time memristive neural networks (MNNs) subject to time-varying delays and energy-bounded disturbances. The ...
Neural Networks, Computer Time Factors
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A novel soft sensor based warning system for hazardous ground-level ozone using advanced damped least squares neural network.

Ecotoxicology and environmental safety Aug 22, 2020
Estimation of hazardous air pollutants in the urban environment for maintaining public safety is a significant concern to mankind. In this paper, we have developed an efficient air quality warning system based on a low-cost and robust ground-level oz...
Air Pollution Ozone Seasons Atmosphere Least-Squares Analysis Environmental Monitoring Taiwan Air Pollutants Algorithms Cities Neural Networks, Computer
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Spectral-Spatial Features Integrated Convolution Neural Network for Breast Cancer Classification.

Sensors (Basel, Switzerland) Aug 22, 2020
Cancer identification and classification from histopathological images of the breast depends greatly on experts, and computer-aided diagnosis can play an important role in disagreement of experts. This automatic process has increased the accuracy of ...
Wavelet Analysis Breast Algorithms Humans Female Neural Networks, Computer Breast Neoplasms
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Automated thalamic nuclei segmentation using multi-planar cascaded convolutional neural networks.

Magnetic resonance imaging Aug 21, 2020
PURPOSE: To develop a fast and accurate convolutional neural network based method for segmentation of thalamic nuclei.
Thalamic Nuclei Image Processing, Computer-Assisted Magnetic Resonance Imaging Automation Essential Tremor Multiple Sclerosis Female Humans Young Adult Neural Networks, Computer Case-Control Studies
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Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS".

BMC bioinformatics Aug 21, 2020
BACKGROUND: The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant urinary tract infection (MDR UTI) after hospitalization. To achieve this goal, we used different popular Machine L...
Male Middle Aged Drug Resistance, Multiple, Bacterial Female Aged Italy Urinary Tract Infections Models, Biological Support Vector Machine Area Under Curve ROC Curve Humans Machine Learning Algorithms Neural Networks, Computer
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Medical Information Extraction in the Age of Deep Learning.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVES: We survey recent developments in medical Information Extraction (IE) as reported in the literature from the past three years. Our focus is on the fundamental methodological paradigm shift from standard Machine Learning (ML) techniques to ...
Neural Networks, Computer Deep Learning Natural Language Processing Humans Information Storage and Retrieval Medical Informatics Disease Drug Interactions Datasets as Topic Pharmaceutical Preparations
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Using machine learning for predicting cervical cancer from Swedish electronic health records by mining hierarchical representations.

PloS one Aug 21, 2020
Electronic health records (EHRs) contain rich documentation regarding disease symptoms and progression, but EHR data is challenging to use for diagnosis prediction due to its high dimensionality, relative scarcity, and substantial level of noise. We ...
Sweden Machine Learning Data Mining Uterine Cervical Neoplasms Electronic Health Records Humans Female Neural Networks, Computer
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Pain intensity estimation based on a spatial transformation and attention CNN.

PloS one Aug 21, 2020
Models designed to detect abnormalities that reflect disease from facial structures are an emerging area of research for automated facial analysis, which has important potential value in smart healthcare applications. However, most of the proposed mo...
Pain Perception Humans Image Processing, Computer-Assisted Neural Networks, Computer Attention
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Total synchronous fluorescence spectroscopy coupled with deep learning to rapidly identify the authenticity of sesame oil.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Aug 20, 2020
The quality of sesame oil (SO) has been paid more and more attention. In this study, total synchronous fluorescence (TSyF) spectroscopy and deep neural networks were utilized to identify counterfeit and adulterated sesame oils. Firstly, typical sampl...
Neural Networks, Computer Deep Learning Spectrometry, Fluorescence Sesame Oil
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