AIMC Journal:
Mathematical biosciences and engineering : MBE

Showing 221 to 230 of 288 articles

Detection system of dead and sick chickens in large scale farms based on artificial intelligence.

Mathematical biosciences and engineering : MBE Jul 13, 2021
With the continuous enrichment of scientific and technological means, the production of most chicken farms has been able to achieve automation, but for the dead and sick chickens in the farm, there is no automatic monitoring step, only through contin...
Artificial Intelligence Machine Learning Algorithms Animals Farms Chickens
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Malware detection based on semi-supervised learning with malware visualization.

Mathematical biosciences and engineering : MBE Jul 2, 2021
The traditional signature-based detection method requires detailed manual analysis to extract the signatures of malicious samples, and requires a large number of manual markers to maintain the signature library, which brings a great time and resource...
Machine Learning Algorithms Supervised Machine Learning
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An ensemble framework based on Deep CNNs architecture for glaucoma classification using fundus photography.

Mathematical biosciences and engineering : MBE Jun 16, 2021
Glaucoma is a chronic ocular degenerative disease that can cause blindness if left untreated in its early stages. Deep Convolutional Neural Networks (Deep CNNs) and its variants have provided superior performance in glaucoma classification, segmentat...
Humans Neural Networks, Computer Glaucoma Databases, Factual ROC Curve Photography
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A hybrid deep learning model for breast cancer diagnosis based on transfer learning and pulse-coupled neural networks.

Mathematical biosciences and engineering : MBE Jun 7, 2021
Radiology experts often face difficulties in mammography mass lesion labeling, which may lead to conclusive yet unnecessary and expensive breast biopsies. This paper focuses on building an automated diagnosis tool that supports radiologists in identi...
Humans Neural Networks, Computer Female Breast Neoplasms Deep Learning Mammography Breast
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An improved Faster R-CNN for defect recognition of key components of transmission line.

Mathematical biosciences and engineering : MBE May 27, 2021
In a national power grid system, it is necessary to keep transmission lines secure. Detection and identification must be regularly performed for transmission tower components. In this paper, we propose a defect recognition method for key components o...
Neural Networks, Computer
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Semi-supervised random forest regression model based on co-training and grouping with information entropy for evaluation of depression symptoms severity.

Mathematical biosciences and engineering : MBE May 27, 2021
Semi-supervised learning has always been a hot topic in machine learning. It uses a large number of unlabeled data to improve the performance of the model. This paper combines the co-training strategy and random forest to propose a novel semi-supervi...
Humans Machine Learning Algorithms Depression Supervised Machine Learning Entropy
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Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once.

Mathematical biosciences and engineering : MBE May 21, 2021
In this paper, a new model known as YOLO-v5 is initiated to detect defects in PCB. In the past many models and different approaches have been implemented in the quality inspection for detection of defect in PCBs. This algorithm is specifically select...
Artificial Intelligence Algorithms Deep Learning
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Prediction of fetal weight based on back propagation neural network optimized by genetic algorithm.

Mathematical biosciences and engineering : MBE May 20, 2021
Fetal weight is an important index to judge fetal development and ensure the safety of pregnant women. However, fetal weight cannot be directly measured. This study proposed a prediction model of fetal weight based on genetic algorithm to optimize ba...
Humans Neural Networks, Computer Pregnancy Female Reproduction Fetal Weight
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Intelligent body behavior feature extraction based on convolution neural network in patients with craniocerebral injury.

Mathematical biosciences and engineering : MBE Apr 30, 2021
Patients with craniocerebral injury are in serious condition and inconvenient to take care of. This paper proposes a method of extracting the patient's body behavior feature based on convolution neural network, in order to reduce nursing workload and...
Humans Neural Networks, Computer Algorithms Craniocerebral Trauma
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Defect detection in code characters with complex backgrounds based on BBE.

Mathematical biosciences and engineering : MBE Apr 29, 2021
Computer vision technologies have been widely implemented in the defect detection. However, most of the existing detection methods generally require images with high quality, and they can only process code characters on simple backgrounds with high c...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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