AIMC Topic: Data Collection

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Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
During the coronavirus disease pandemic (COVID-19), social media platforms such as Twitter have become a venue for individuals, health professionals, and government agencies to share COVID-19 information. Twitter has been a popular source of data for...
Social Media Machine Learning Data Collection COVID-19 Humans Bias
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Towards a universal and privacy preserving EEG-based authentication system.

Scientific reports Feb 15, 2022
EEG-based authentication has gained much interest in recent years. However, despite its growing appeal, there are still various challenges to their practical use, such as lack of universality, lack of privacy-preserving, and lack of ease of use. In t...
Humans Algorithms Electroencephalography Data Collection Deep Learning Research Design
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Aircraft Landing Gear Retraction/Extension System Fault Diagnosis with 1-D Dilated Convolutional Neural Network.

Sensors (Basel, Switzerland) Feb 10, 2022
The faults of the landing gear retraction/extension(R/E) system can result in the deterioration of an aircraft's maneuvering conditions; how to identify the faults of the landing gear R/E system has become a key issue for ensuring aircraft take-off a...
Neural Networks, Computer Aircraft Algorithms Data Collection
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Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins.

Sensors (Basel, Switzerland) Feb 9, 2022
A suitable framework for the development of artificial neural networks is important because it decides the level of accuracy, which can be reached for a certain dataset and increases the certainty about the reached classification results. In this pap...
Numismatics Neural Networks, Computer Data Collection Machine Learning
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Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring.

Sensors (Basel, Switzerland) Jan 31, 2022
In this work, different types of artificial neural networks are investigated for the estimation of the time of arrival (ToA) in acoustic emission (AE) signals. In particular, convolutional neural network (CNN) models and a novel capsule neural networ...
Deep Learning Noise Neural Networks, Computer Data Collection Acoustics
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Face Detection Algorithm Based on Double-Channel CNN with Occlusion Perceptron.

Computational intelligence and neuroscience Jan 28, 2022
Aiming at the problem of low accuracy of face detection under complex occlusion conditions, a double-channel occlusion perceptron neural network model was proposed. The area occlusion judgment unit is designed and integrated into the VGG16 network to...
Face Data Collection Neural Networks, Computer Algorithms
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BJBN： BERT-JOIN-BiLSTM Networks for Medical Auxiliary Diagnostic.

Journal of healthcare engineering Jan 11, 2022
This study proposed a medicine auxiliary diagnosis model based on neural network. The model combines a bidirectional long short-term memory（Bi-LSTM）network and bidirectional encoder representations from transformers (BERT), which can well complete th...
Humans Data Collection Machine Learning Electric Power Supplies Neural Networks, Computer
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Enabling Research and Clinical Use of Patient-Generated Health Data (the mindLAMP Platform): Digital Phenotyping Study.

JMIR mHealth and uHealth Jan 7, 2022
BACKGROUND: There is a growing need for the integration of patient-generated health data (PGHD) into research and clinical care to enable personalized, preventive, and interactive care, but technical and organizational challenges, such as the lack of...
Smartphone Data Collection Mobile Applications Artificial Intelligence Machine Learning Humans
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Improving the Accuracy of Estimates of Indoor Distance Moved Using Deep Learning-Based Movement Status Recognition.

Sensors (Basel, Switzerland) Jan 4, 2022
As a result of the development of wireless indoor positioning techniques such as WiFi, Bluetooth, and Ultra-wideband (UWB), the positioning traces of moving people or objects in indoor environments can be tracked and recorded, and the distances moved...
Motion Deep Learning Movement Data Collection Humans Algorithms
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Development of a bowel sound detector adapted to demonstrate the effect of food intake.

Biomedical engineering online Jan 4, 2022
OBJECTIVE: Bowel sounds (BS) carry useful information about gastrointestinal condition and feeding status. Interest in computerized bowel sound-based analysis has grown recently and techniques have evolved rapidly. An important first step for these a...
Neural Networks, Computer Postoperative Complications Humans Data Collection Acoustics Eating
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