AIMC Topic: Neural Networks, Computer

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Machine Learning Approaches for Quality Assessment of Protein Structures.

Biomolecules Apr 17, 2020
Protein structures play a very important role in biomedical research, especially in drug discovery and design, which require accurate protein structures in advance. However, experimental determinations of protein structure are prohibitively costly an...
Amino Acid Sequence Humans Neural Networks, Computer Machine Learning Models, Molecular Bayes Theorem Support Vector Machine Proteins
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Training of deep neural networks for the generation of dynamic movement primitives.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2020
Dynamic movement primitives (DMPs) have proven to be an effective movement representation for motor skill learning. In this paper, we propose a new approach for training deep neural networks to synthesize dynamic movement primitives. The distinguishi...
Pattern Recognition, Automated Motor Skills Movement Humans Neural Networks, Computer Databases, Factual
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Revealing cytotoxic substructures in molecules using deep learning.

Journal of computer-aided molecular design Apr 16, 2020
In drug development, late stage toxicity issues of a compound are the main cause of failure in clinical trials. In silico methods are therefore of high importance to guide the early design process to reduce time, costs and animal testing. Technical a...
Cell Survival Models, Biological Cytotoxins HEK293 Cells Drug Discovery Deep Learning Hep G2 Cells Toxicology Humans Computer-Aided Design Small Molecule Libraries Neural Networks, Computer Drug Design Software
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Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms.

International journal of environmental research and public health Apr 16, 2020
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices, and can cause social upheaval and loss of life. As a result, many scientists study the phenomenon, and some of them have focused on producing landslide susce...
Logistic Models Support Vector Machine Bayes Theorem Neural Networks, Computer Algorithms Iran Landslides
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Development of a prediction model for hypotension after induction of anesthesia using machine learning.

PloS one Apr 16, 2020
Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting hypotension during anesthesia induction is complicated by its diverse causes. We investigated the ...
Aged Feasibility Studies Adult Hypotension Intubation, Intratracheal Risk Assessment Retrospective Studies Cholecystectomy, Laparoscopic Drug Delivery Systems ROC Curve Monitoring, Intraoperative Humans Electronic Health Records Arterial Pressure Male Anesthesia, General Neural Networks, Computer Middle Aged Female Models, Cardiovascular Machine Learning Bayes Theorem Anesthetics
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Neuronal mechanisms for sequential activation of memory items: Dynamics and reliability.

PloS one Apr 16, 2020
In this article we present a biologically inspired model of activation of memory items in a sequence. Our model produces two types of sequences, corresponding to two different types of cerebral functions: activation of regular or irregular sequences....
Cerebral Cortex Memory Synaptic Transmission Animals Models, Neurological Neurons Humans Neural Networks, Computer Reproducibility of Results
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Deep Learning of Spatiotemporal Filtering for Fast Super-Resolution Ultrasound Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Apr 15, 2020
Super-resolution ultrasound (SR-US) imaging is a new technique that breaks the diffraction limit and allows visualization of microvascular structures down to tens of micrometers. The image processing methods for the spatiotemporal filtering needed in...
Female Animals Deep Learning Ultrasonography Neural Networks, Computer Signal Processing, Computer-Assisted Microbubbles Contrast Media Mice, Nude Mammary Neoplasms, Experimental Cell Line, Tumor Image Processing, Computer-Assisted Mice
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Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models.

International journal of medical informatics Apr 15, 2020
BACKGROUND: Febrile neutropenia (FN) has been associated with high mortality among adults with cancer. Current systems for early detection of inpatient FN mortality are based on scoring indexes that require intensive physicians' subjective evaluation...
Humans Neural Networks, Computer Machine Learning Aged Survival Rate ROC Curve Male Female Support Vector Machine Middle Aged Hospitalization Febrile Neutropenia Hospital Mortality
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Training instance segmentation neural network with synthetic datasets for crop seed phenotyping.

Communications biology Apr 15, 2020
In order to train the neural network for plant phenotyping, a sufficient amount of training data must be prepared, which requires time-consuming manual data annotation process that often becomes the limiting step. Here, we show that an instance segme...
Neural Networks, Computer Phenotype Image Processing, Computer-Assisted Crops, Agricultural Deep Learning Hordeum Seeds
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Forecasting the annual household electricity consumption of Chinese residents using the DPSO-BP prediction model.

Environmental science and pollution research international Apr 14, 2020
In recent years, global climate change caused by carbon dioxide emissions has attracted more and more attention. Adjusting the energy mix by predicting energy demands is currently a more effective way to address climate issues and energy supply issue...
Algorithms Forecasting China Electricity Neural Networks, Computer
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