AIMC Topic: Pattern Recognition, Automated

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Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications.

PeerJ Apr 4, 2022
Biomedical knowledge is represented in structured databases and published in biomedical literature, and different computational approaches have been developed to exploit each type of information in predictive models. However, the information in struc...
Pattern Recognition, Automated Drug Interactions Supervised Machine Learning Machine Learning Databases, Factual
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A union of deep learning and swarm-based optimization for 3D human action recognition.

Scientific reports Mar 31, 2022
Human Action Recognition (HAR) is a popular area of research in computer vision due to its wide range of applications such as surveillance, health care, and gaming, etc. Action recognition based on 3D skeleton data allows simplistic, cost-efficient m...
Deep Learning Pattern Recognition, Automated Human Activities Neural Networks, Computer Algorithms Humans
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FoSSA Optimization-Based SVM Classifier for the Recognition of Partial Discharge Patterns in HV Cables.

Computational intelligence and neuroscience Mar 25, 2022
In order to enhance the classification accuracy and the generalization performance of the SVM classifier in cable partial discharge (PD) pattern recognition, a firefly optimized sparrow search algorithm (FoSSA) is proposed to optimize its kernel func...
Algorithms Support Vector Machine Computer Simulation Pattern Recognition, Automated
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Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes.

IEEE transactions on cybernetics Mar 11, 2022
Driving pattern recognition based on features, such as GPS, gear, and speed information, is essential to develop intelligent transportation systems. However, it is usually expensive and labor intensive to collect a large amount of labeled driving dat...
Algorithms Automobile Driving Pattern Recognition, Automated Humans Machine Learning
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Explaining the differences of gait patterns between high and low-mileage runners with machine learning.

Scientific reports Feb 22, 2022
Running gait patterns have implications for revealing the causes of injuries between higher-mileage runners and low-mileage runners. However, there is limited research on the possible relationships between running gait patterns and weekly running mil...
Pattern Recognition, Automated Gait Analysis Athletic Injuries Running Athletes Young Adult Adult Male Gait Biomechanical Phenomena Neural Networks, Computer Machine Learning Humans
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Internet of Things with Deep Learning-Based Face Recognition Approach for Authentication in Control Medical Systems.

Computational and mathematical methods in medicine Feb 12, 2022
Internet of Things (IoT) with deep learning (DL) is drastically growing and plays a significant role in many applications, including medical and healthcare systems. It can help users in this field get an advantage in terms of enhanced touchless authe...
Computer Security Algorithms Internet of Things Databases, Factual Support Vector Machine Humans Pattern Recognition, Automated Computer Simulation Equipment Design COVID-19 SARS-CoV-2 Automated Facial Recognition Deep Learning
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Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images.

Scientific reports Feb 9, 2022
Neovascular age-related macular degeneration (nAMD) is among the main causes of visual impairment worldwide. We built a deep learning model to distinguish the subtypes of nAMD using spectral domain optical coherence tomography (SD-OCT) images. Data f...
Female Aged Aged, 80 and over Humans Computer Simulation Neovascularization, Pathologic Pattern Recognition, Automated Ophthalmologists Diagnostic Techniques, Ophthalmological Deep Learning Tomography, Optical Coherence Macular Degeneration Male Middle Aged
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A knowledge graph to interpret clinical proteomics data.

Nature biotechnology Jan 31, 2022
Implementing precision medicine hinges on the integration of omics data, such as proteomics, into the clinical decision-making process, but the quantity and diversity of biomedical data, and the spread of clinically relevant knowledge across multiple...
Algorithms Decision Making, Computer-Assisted Precision Medicine Knowledge Bases Pattern Recognition, Automated Proteomics Machine Learning
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Knowledge Graph Based Hard Drive Failure Prediction.

Sensors (Basel, Switzerland) Jan 27, 2022
The hard drive is one of the important components of a computing system, and its failure can lead to both system failure and data loss. Therefore, the reliability of a hard drive is very important. Realising this importance, a number of studies have ...
Semantics Pattern Recognition, Automated Knowledge Machine Learning Reproducibility of Results
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CNN Deep Learning with Wavelet Image Fusion of CCD RGB-IR and Depth-Grayscale Sensor Data for Hand Gesture Intention Recognition.

Sensors (Basel, Switzerland) Jan 21, 2022
Pixel-based images captured by a charge-coupled device (CCD) with infrared (IR) LEDs around the image sensor are the well-known CCD Red-Green-Blue IR (the so-called CCD RGB-IR) data. The CCD RGB-IR data are generally acquired for video surveillance a...
Humans Neural Networks, Computer Intention Pattern Recognition, Automated Deep Learning Gestures
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