AIMC Journal:
Mathematical biosciences and engineering : MBE

Showing 241 to 250 of 288 articles

Detection of glaucoma using retinal fundus images: A comprehensive review.

Mathematical biosciences and engineering : MBE Mar 2, 2021
Content-based image analysis and computer vision techniques are used in various health-care systems to detect the diseases. The abnormalities in a human eye are detected through fundus images captured through a fundus camera. Among eye diseases, glau...
Humans Glaucoma Fundus Oculi Image Interpretation, Computer-Assisted Artificial Intelligence Image Processing, Computer-Assisted
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Generative adversarial network based data augmentation to improve cervical cell classification model.

Mathematical biosciences and engineering : MBE Feb 8, 2021
The survival rate of cervical cancer can be improved by the early screening. However, the screening is a heavy task for pathologists. Thus, automatic cervical cell classification model is proposed to assist pathologists in screening. In cervical cell...
Neural Networks, Computer Image Processing, Computer-Assisted
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A deep learning-based medication behavior monitoring system.

Mathematical biosciences and engineering : MBE Jan 28, 2021
The internet of things (IoT) and deep learning are emerging technologies in diverse research fields, including the provision of IT services in medical domains. In the COVID-19 era, intelligent medication behavior monitoring systems for stable patient...
Directly Observed Therapy Biomedical Engineering Assessment of Medication Adherence Monitoring, Physiologic Equipment Design COVID-19 Drug Treatment Internet of Things Computer Systems Medication Adherence Wearable Electronic Devices Software Humans Pandemics SARS-CoV-2 Neural Networks, Computer Deep Learning
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Deep sparse transfer learning for remote smart tongue diagnosis.

Mathematical biosciences and engineering : MBE Jan 12, 2021
People are exploring new ideas based on artificial intelligent infrastructures for immediate processing, in which the main obstacles of widely-deploying deep methods are the huge volume of neural network and the lack of training data. To meet the hig...
Humans Tongue Neural Networks, Computer Deep Learning
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Efficiently deep learning for monitoring in the wild.

Mathematical biosciences and engineering : MBE Jan 11, 2021
are an invasive weed which has caused serious harm to the biodiversity and stability of the ecosystem. It is very important to accurately and rapidly identifying and monitoring in the wild for managements taking the necessary strategies to control ...
Artificial Intelligence Plant Weeds Ecosystem Ipomoea Deep Learning
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Powerlifting score prediction using a machine learning method.

Mathematical biosciences and engineering : MBE Jan 7, 2021
This research discusses an interesting topic, using artificial intelligence methods to predict the score of powerlifters. We collected the characteristics of powerlifters, and then used the reservoir computing extreme learning machine to build a pred...
Artificial Intelligence Machine Learning Algorithms Weight Lifting
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An efficient approach to diagnose brain tumors through deep CNN.

Mathematical biosciences and engineering : MBE Dec 25, 2020
BACKGROUND AND OBJECTIVE: Brain tumors are among the most common complications with debilitating or even death potential. Timely detection of brain tumors particularly at an early stage can lead to successful treatment of the patients. In this regard...
Humans Neural Networks, Computer Magnetic Resonance Imaging Brain Neuroimaging Brain Neoplasms
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Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series.

Mathematical biosciences and engineering : MBE Dec 10, 2020
The gait speed affects the gait patterns (biomechanical and spatiotemporal parameters) of distinct age populations. Classification of normal, slow and fast walking is fundamental for understanding the effects of gait speed on the gait patterns and fo...
Humans Machine Learning Support Vector Machine Bayes Theorem Walking Gait
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Wearable on-device deep learning system for hand gesture recognition based on FPGA accelerator.

Mathematical biosciences and engineering : MBE Nov 23, 2020
Gesture recognition is critical in the field of Human-Computer Interaction, especially in healthcare, rehabilitation, sign language translation, etc. Conventionally, the gesture recognition data collected by the inertial measurement unit (IMU) sensor...
Neural Networks, Computer Wearable Electronic Devices Equipment Design Humans Gestures Deep Learning
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Machine learning based congestive heart failure detection using feature importance ranking of multimodal features.

Mathematical biosciences and engineering : MBE Nov 19, 2020
In this study, we ranked the Multimodal Features extracted from Congestive Heart Failure (CHF) and Normal Sinus Rhythm (NSR) subjects. We categorized the ranked features into 1 to 5 categories based on Empirical Receiver Operating Characteristics (ER...
ROC Curve Humans Support Vector Machine Machine Learning Bayes Theorem Algorithms Heart Failure
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