AIMC Topic: Data Collection

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A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data.

Scientific reports May 25, 2022
Training on multiple diverse data sources is critical to ensure unbiased and generalizable AI. In healthcare, data privacy laws prohibit data from being moved outside the country of origin, preventing global medical datasets being centralized for AI ...
Delivery of Health Care Learning Machine Learning Data Collection Privacy
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Rolling Bearing Fault Diagnosis Based on Markov Transition Field and Residual Network.

Sensors (Basel, Switzerland) May 23, 2022
Data-driven rolling-bearing fault diagnosis methods are mostly based on deep-learning models, and their multilayer nonlinear mapping capability can improve the accuracy of intelligent fault diagnosis. However, problems such as gradient disappearance ...
Vibration Records Data Collection Learning Neural Networks, Computer
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Deep Learning for Infant Cry Recognition.

International journal of environmental research and public health May 23, 2022
Recognizing why an infant cries is challenging as babies cannot communicate verbally with others to express their wishes or needs. This leads to difficulties for parents in identifying the needs and the health of their infants. This study used deep l...
Deep Learning Data Collection Infant Recognition, Psychology Humans Algorithms Neural Networks, Computer
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Recognition of Unknown Entities in Specific Financial Field Based on ERNIE-Doc-BiLSTM-CRF.

Computational intelligence and neuroscience May 14, 2022
The Internet is rich in information related to the financial field. The financial entity information text containing new internet vocabulary has a certain impact on the results of existing recognition algorithms. How to solve the problems of new voca...
Natural Language Processing Electronic Health Records Data Collection Algorithms Language
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Maximizing citizen scientists' contribution to automated species recognition.

Scientific reports May 10, 2022
Technological advances and data availability have enabled artificial intelligence-driven tools that can increasingly successfully assist in identifying species from images. Especially within citizen science, an emerging source of information filling ...
Humans Artificial Intelligence Data Collection Biodiversity Citizen Science Norway
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Power Intelligent Terminal Intrusion Detection Based on Deep Learning and Cloud Computing.

Computational intelligence and neuroscience May 9, 2022
Numerous internal and external intrusion attacks have appeared one after another, which has become a major problem affecting the normal operation of the power system. The power system is the infrastructure of the national economy, ensuring that the i...
Information Storage and Retrieval Computer Security Data Collection Cloud Computing Deep Learning
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Content Swapping: A New Image Synthesis for Construction Sign Detection in Autonomous Vehicles.

Sensors (Basel, Switzerland) May 4, 2022
Construction signs alert drivers to the dangers of abnormally blocked roads. In the case of autonomous vehicles, construction signs should be detected automatically to prevent accidents. One might think that we can accomplish the goal easily using th...
Autonomous Vehicles Republic of Korea Neural Networks, Computer Automobile Driving Data Collection
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Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical Images.

Sensors (Basel, Switzerland) Apr 30, 2022
We propose an encoder-decoder architecture using wide and deep convolutional layers combined with different aggregation modules for the segmentation of medical images. Initially, we obtain a rich representation of features that span from low to high ...
Data Collection Neural Networks, Computer Image Processing, Computer-Assisted Humans Disease Progression
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Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability.

Sensors (Basel, Switzerland) Apr 26, 2022
In aerospace, marine, and other heavy industries, bearing fault diagnosis has been an essential part of improving machine life, reducing economic losses, and avoiding safety problems caused by machine bearing failures. Most existing bearing fault dia...
Support Vector Machine Head Face Neural Networks, Computer Data Collection
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Automatic Implementation Algorithm of Pressure Relief Drilling Depth Based on an Innovative Monitoring-While-Drilling Method.

Sensors (Basel, Switzerland) Apr 22, 2022
An innovative monitoring-while-drilling method of pressure relief drilling was proposed in a previous study, and the periodic appearance of amplitude concentrated enlargement zone in vibration signals can represent the drilling depth. However, there ...
Vibration Neural Networks, Computer Data Collection Algorithms
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