AIMC Topic: Neural Networks, Computer

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Single-cell classification using graph convolutional networks.

BMC bioinformatics Jul 8, 2021
BACKGROUND: Analyzing single-cell RNA sequencing (scRNAseq) data plays an important role in understanding the intrinsic and extrinsic cellular processes in biological and biomedical research. One significant effort in this area is the identification ...
Gene Regulatory Networks Machine Learning Neural Networks, Computer
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Semi-automated Conversion of Clinical Trial Legacy Data into CDISC SDTM Standards Format Using Supervised Machine Learning.

Methods of information in medicine Jul 8, 2021
OBJECTIVE:  This study aimed to develop a semi-automated process to convert legacy data into clinical data interchange standards consortium (CDISC) study data tabulation model (SDTM) format by combining human verification and three methods: data norm...
Algorithms Supervised Machine Learning Neural Networks, Computer Machine Learning Humans
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An Attention Mechanism Oriented Hybrid CNN-RNN Deep Learning Architecture of Container Terminal Liner Handling Conditions Prediction.

Computational intelligence and neuroscience Jul 8, 2021
The booming computational thinking and deep learning make it possible to construct agile, efficient, and robust deep learning-driven decision-making support engine for the operation of container terminal handling systems (CTHSs). Within the conceptua...
Deep Learning China Neural Networks, Computer Machine Learning Algorithms
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Online Learning and Memory of Neural Trajectory Replays for Prefrontal Persistent and Dynamic Representations in the Irregular Asynchronous State.

Frontiers in neural circuits Jul 8, 2021
In the prefrontal cortex (PFC), higher-order cognitive functions and adaptive flexible behaviors rely on continuous dynamical sequences of spiking activity that constitute neural trajectories in the state space of activity. Neural trajectories subser...
Prefrontal Cortex Neural Networks, Computer Memory, Short-Term Humans Neuronal Plasticity Action Potentials Education, Distance Models, Neurological
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Predefined-time synchronization of competitive neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 7, 2021
In this paper, the predefined-time synchronization of competitive neural networks (CNNs) is researched based on two different predefined-time stability theorems. In view of the bilayer structure of CNNs, we design two bilayer predefined-time controll...
Time Factors Algorithms Neural Networks, Computer
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Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis.

Computer methods and programs in biomedicine Jul 7, 2021
BACKGROUND AND OBJECTIVES: Pneumonia is a disease that affects the lungs, making breathing difficult. Nowadays, pneumonia is the disease that kills the most children under the age of five in the world, and if no action is taken, pneumonia is estimate...
Pneumonia Bayes Theorem Deep Learning Child Lung Neural Networks, Computer Humans
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A sensitivity analysis of probability maps in deep-learning-based anatomical segmentation.

Journal of applied clinical medical physics Jul 7, 2021
PURPOSE: Deep-learning-based segmentation models implicitly learn to predict the presence of a structure based on its overall prominence in the training dataset. This phenomenon is observed and accounted for in deep-learning applications such as natu...
Humans Image Processing, Computer-Assisted Probability Deep Learning Neural Networks, Computer
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DCANet: Dual contextual affinity network for mass segmentation in whole mammograms.

Medical physics Jul 7, 2021
PURPOSE: Breast mass segmentation in mammograms remains a crucial yet challenging topic in computer-aided diagnosis systems. Existing algorithms mainly used mass-centered patches to achieve mass segmentation, which is time-consuming and unstable in c...
Neural Networks, Computer Databases, Factual Humans Mammography Breast Image Processing, Computer-Assisted Diagnosis, Computer-Assisted
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Nuclear Quantum Effect and Its Temperature Dependence in Liquid Water from Random Phase Approximation via Artificial Neural Network.

The journal of physical chemistry letters Jul 7, 2021
We report structural and dynamical properties of liquid water described by the random phase approximation (RPA) correlation together with the exact exchange energy (EXX) within density functional theory. By utilizing thermostated ring polymer molecul...
Models, Molecular Molecular Conformation Quantum Theory Temperature Water Neural Networks, Computer
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Efficient Graph Collaborative Filtering via Contrastive Learning.

Sensors (Basel, Switzerland) Jul 7, 2021
Collaborative filtering (CF) aims to make recommendations for users by detecting user's preference from the historical user-item interactions. Existing graph neural networks (GNN) based methods achieve satisfactory performance by exploiting the high-...
Neural Networks, Computer Bayes Theorem Algorithms
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