AIMC Topic: Records

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Deep 3D Neural Network for Brain Structures Segmentation Using Self-Attention Modules in MRI Images.

Sensors (Basel, Switzerland) Mar 27, 2022
In recent years, the use of deep learning-based models for developing advanced healthcare systems has been growing due to the results they can achieve. However, the majority of the proposed deep learning-models largely use convolutional and pooling o...
Magnetic Resonance Imaging Records Brain Image Processing, Computer-Assisted Neural Networks, Computer
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General Image Fusion for an Arbitrary Number of Inputs Using Convolutional Neural Networks.

Sensors (Basel, Switzerland) Mar 23, 2022
In this paper, we propose a unified and flexible framework for general image fusion tasks, including multi-exposure image fusion, multi-focus image fusion, infrared/visible image fusion, and multi-modality medical image fusion. Unlike other deep lear...
Records Neural Networks, Computer Image Processing, Computer-Assisted
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Object detectors involving a NAS-gate convolutional module and capsule attention module.

Scientific reports Mar 10, 2022
Several state-of-the-art object detectors have demonstrated outstanding performances by optimizing feature representation through modification of the backbone architecture and exploitation of a feature pyramid. To determine the effectiveness of this ...
Plant Extracts Records Neural Networks, Computer
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Intelligent Defect Diagnosis of Rolling Element Bearings under Variable Operating Conditions Using Convolutional Neural Network and Order Maps.

Sensors (Basel, Switzerland) Mar 4, 2022
Vibration analysis is an established method for fault detection and diagnosis of rolling element bearings. However, it is an expert oriented exercise. To relieve the experts, the use of Artificial Intelligence (AI) techniques such as deep neural netw...
Vibration Records Neural Networks, Computer Artificial Intelligence
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Machine Learning-Based Fault Location for Smart Distribution Networks Equipped with Micro-PMU.

Sensors (Basel, Switzerland) Jan 26, 2022
Faults in distribution networks occur unpredictably, causing a threat to public safety and resulting in power outages. Automated, efficient, and precise detection of faulty sections could be a major element in immediately restoring networks and avoid...
Support Vector Machine Electric Impedance Machine Learning Algorithms Records
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Global polynomial periodicity and polynomial stability of proportional delay Cohen-Grossberg neural networks.

ISA transactions May 6, 2021
This paper tackles the global polynomial periodicity (GPP) and global polynomial stability (GPS) for proportional delay Cohen-Grossberg neural networks (PDCGNNs). By adopting two transformations, designing opportune Lyapunov functionals (LFs) with tu...
Periodicity Records Algorithms Time Factors Neural Networks, Computer
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Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures.

PloS one Nov 14, 2019
With the increase in the amount of text information in different real-life applications, automatic text-summarization systems become more predominant in extracting relevant information. In the current study, we formulated the problem of extractive te...
Computer Heuristics Records Algorithms Language Humans Machine Learning Documentation Semantics Natural Language Processing Data Mining
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The Current Research Landscape of the Application of Artificial Intelligence in Managing Cerebrovascular and Heart Diseases: A Bibliometric and Content Analysis.

International journal of environmental research and public health Jul 29, 2019
The applications of artificial intelligence (AI) in aiding clinical decision-making and management of stroke and heart diseases have become increasingly common in recent years, thanks in part to technological advancements and the heightened interest ...
Heart Diseases Health Behavior Records Robotics Cerebrovascular Disorders Reproducibility of Results Bibliometrics Humans Artificial Intelligence Forecasting
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Using natural language processing and VetCompass to understand antimicrobial usage patterns in Australia.

Australian veterinary journal Jun 17, 2019
BACKGROUND: Currently there is an incomplete understanding of antimicrobial usage patterns in veterinary clinics in Australia, but such knowledge is critical for the successful implementation and monitoring of antimicrobial stewardship programs.
Animals Australia Natural Language Processing Dogs Humans Anti-Infective Agents Records Cats Practice Patterns, Physicians' Veterinarians Antimicrobial Stewardship
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Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool.

Systematic reviews Mar 12, 2018
BACKGROUND: Machine learning tools can expedite systematic review (SR) processes by semi-automating citation screening. Abstrackr semi-automates citation screening by predicting relevant records. We evaluated its performance for four screening projec...
Canada Retrospective Studies Mass Screening Reproducibility of Results Systematic Reviews as Topic Humans Records Machine Learning
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