AIMC Journal:
Mathematical biosciences and engineering : MBE

Showing 201 to 210 of 288 articles

Entity recognition of Chinese medical text based on multi-head self-attention combined with BILSTM-CRF.

Mathematical biosciences and engineering : MBE Jan 4, 2022
Named entities are the main carriers of relevant medical knowledge in Electronic Medical Records (EMR). Clinical electronic medical records lead to problems such as word segmentation ambiguity and polysemy due to the specificity of Chinese language s...
Electronic Health Records Language China Natural Language Processing Attention
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Road crack segmentation using an attention residual U-Net with generative adversarial learning.

Mathematical biosciences and engineering : MBE Nov 4, 2021
This paper proposed an end-to-end road crack segmentation model based on attention mechanism and deep FCN with generative adversarial learning. We create a segmentation network by introducing a visual attention mechanism and residual module to a full...
Neural Networks, Computer Image Processing, Computer-Assisted Semantics
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Factors determining generalization in deep learning models for scoring COVID-CT images.

Mathematical biosciences and engineering : MBE Oct 27, 2021
The COVID-19 pandemic has inspired unprecedented data collection and computer vision modelling efforts worldwide, focused on the diagnosis of COVID-19 from medical images. However, these models have found limited, if any, clinical application due in ...
Humans Pandemics COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Deep Learning
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Protein-ligand binding affinity prediction model based on graph attention network.

Mathematical biosciences and engineering : MBE Oct 25, 2021
Estimating the binding affinity between proteins and drugs is very important in the application of structure-based drug design. Currently, applying machine learning to build the protein-ligand binding affinity prediction model, which is helpful to im...
Machine Learning Drug Design Protein Binding Proteins Ligands
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Finite-time stability and optimal control of an impulsive stochastic reaction-diffusion vegetation-water system driven by Lévy process with time-varying delay.

Mathematical biosciences and engineering : MBE Sep 27, 2021
In this paper, a reaction-diffusion vegetation-water system with time-varying delay, impulse and Lévy jump is proposed. The existence and uniqueness of the positive solution are proved. Meanwhile, mainly through the principle of comparison, we obtain...
Neural Networks, Computer Water Time Factors Diffusion Stochastic Processes
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Improved FCM algorithm for fisheye image cluster analysis for tree height calculation.

Mathematical biosciences and engineering : MBE Sep 9, 2021
The height of standing trees is an important index in forestry research. This index is not only hard to measure directly but also the environmental factors increase the measurement difficulty. Therefore, the measurement of the height of standing tree...
Algorithms Magnetic Resonance Imaging Fuzzy Logic Cluster Analysis Trees
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Automatic measurement of fetal femur length in ultrasound images: a comparison of random forest regression model and SegNet.

Mathematical biosciences and engineering : MBE Sep 9, 2021
The aim of this work is the preliminary clinical validation and accuracy evaluation of our automatic algorithms in assessing progression fetal femur length (FL) in ultrasound images. To compare the random forest regression model with the SegNet model...
Machine Learning Algorithms Ultrasonography Femur
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ℓ-norm based safe semi-supervised learning.

Mathematical biosciences and engineering : MBE Sep 7, 2021
In the past few years, Safe Semi-Supervised Learning (S3L) has received considerable attentions in machine learning field. Different researchers have proposed many S3L methods for safe exploitation of risky unlabeled samples which result in performan...
Machine Learning Supervised Machine Learning
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A reinforcement learning model to inform optimal decision paths for HIV elimination.

Mathematical biosciences and engineering : MBE Sep 6, 2021
The 'Ending the HIV Epidemic (EHE)' national plan aims to reduce annual HIV incidence in the United States from 38,000 in 2015 to 9300 by 2025 and 3300 by 2030. Diagnosis and treatment are two most effective interventions, and thus, identifying corre...
Humans Artificial Intelligence Algorithms Learning HIV Infections United States Reinforcement, Psychology
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Exploration of machine algorithms based on deep learning model and feature extraction.

Mathematical biosciences and engineering : MBE Sep 3, 2021
The study expects to solve the problems of insufficient labeling, high input dimension, and inconsistent task input distribution in traditional lifelong machine learning. A new deep learning model is proposed by combining feature representation with ...
Machine Learning Algorithms Databases, Factual Deep Learning Information Storage and Retrieval
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