AIMC Journal:
Mathematical biosciences and engineering : MBE

Showing 211 to 220 of 288 articles

A prediction model of aquaculture water quality based on multiscale decomposition.

Mathematical biosciences and engineering : MBE Sep 2, 2021
In the field of intensive aquaculture, the deterioration of water quality is one of the main factors restricting the normal growth of aquatic products. Predicting water quality in real time constitutes the theoretical basis for the evaluation, planni...
Neural Networks, Computer Algorithms Water Quality Aquaculture
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A deep learning based automatic segmentation approach for anatomical structures in intensity modulation radiotherapy.

Mathematical biosciences and engineering : MBE Sep 1, 2021
OBJECTIVE: To evaluate the automatic segmentation approach for organ at risk (OARs) and compare the parameters of dose volume histogram (DVH) in radiotherapy.
Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Organs at Risk Deep Learning Humans
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Application of supervised machine learning as a method for identifying DEM contact law parameters.

Mathematical biosciences and engineering : MBE Sep 1, 2021
Calibration of Discrete Element Method (DEM) models is an iterative process of adjusting input parameters such that the macroscopic results of simulations and experiments are similar. Therefore, selecting appropriate input parameters of a model effec...
Machine Learning Linear Models Calibration Supervised Machine Learning Algorithms
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A model for predicting drug-disease associations based on dense convolutional attention network.

Mathematical biosciences and engineering : MBE Aug 30, 2021
The development of new drugs is a time-consuming and labor-intensive process. Therefore, researchers use computational methods to explore other therapeutic effects of existing drugs, and drug-disease association prediction is an important branch of i...
Algorithms Neural Networks, Computer Pharmaceutical Preparations Risk Factors
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A 3D multiscale view convolutional neural network with attention for mental disease diagnosis on MRI images.

Mathematical biosciences and engineering : MBE Aug 23, 2021
Computer Assisted Diagnosis (CAD) based on brain Magnetic Resonance Imaging (MRI) is a popular research field for the computer science and medical engineering. Traditional machine learning and deep learning methods were employed in the classification...
Reproducibility of Results Brain Neural Networks, Computer Attention Magnetic Resonance Imaging
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Application of bi-modal signal in the classification and recognition of drug addiction degree based on machine learning.

Mathematical biosciences and engineering : MBE Aug 20, 2021
Most studies on drug addiction degree are made based on statistical scales, addicts' account, and subjective judgement of rehabilitation doctors. No objective, quantified evaluation has been made. This paper uses devises the synchronous bimodal signa...
Algorithms Electroencephalography Substance-Related Disorders Neural Networks, Computer Machine Learning Humans
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Open set recognition algorithm based on Conditional Gaussian Encoder.

Mathematical biosciences and engineering : MBE Aug 3, 2021
For the existing Closed Set Recognition (CSR) methods mistakenly identify unknown jamming signals as a known class, a Conditional Gaussian Encoder (CG-Encoder) for 1-dimensional signal Open Set Recognition (OSR) is designed. The network retains the o...
Algorithms Computer Simulation Neural Networks, Computer Normal Distribution
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Drivers of harmful algal blooms in coastal areas of Eastern Mediterranean: a machine learning methodological approach.

Mathematical biosciences and engineering : MBE Jul 28, 2021
Harmful algal species are present in the Mediterranean Sea and are often associated with toxic events affecting the nearby coastal zones. The presence of 18 marine microalgae, at genus level, associated with potentially harmful characteristics was pr...
Temperature Machine Learning Harmful Algal Bloom
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Special issue: Informatics & data-driven medicine.

Mathematical biosciences and engineering : MBE Jul 26, 2021
The current state of the development of Medicine today is changing dramatically. Previously, data of the patient's health were collected only during a visit to the clinic. These were small chunks of information obtained from observations or experimen...
Informatics Computers Humans Machine Learning Artificial Intelligence
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Deep learning and radiomics analysis for prediction of placenta invasion based on T2WI.

Mathematical biosciences and engineering : MBE Jul 16, 2021
The purpose of this study was to explore whether the Nomogram, which was constructed by combining the Deep learning and Radiomic features of T2-weighted MR images with Clinical factors (NDRC), could accurately predict placenta invasion. This retrospe...
Placenta Humans Nomograms Pregnancy Deep Learning Magnetic Resonance Imaging Retrospective Studies Female
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