AIMC Topic: Big Data

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A Rumor Detection Method from Social Network Based on Deep Learning in Big Data Environment.

Computational intelligence and neuroscience Mar 28, 2022
Aiming at the lack of feature extraction ability of rumor detection methods based on the deep learning model, this study proposes a rumor detection method based on deep learning in social network big data environment. Firstly, the scheme of combining...
Deep Learning Big Data Social Networking
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Application of a Hybrid Model of Big Data and BP Network on Fault Diagnosis Strategy for Microgrid.

Computational intelligence and neuroscience Mar 25, 2022
Aiming at the characteristics of timely transmission, rapid update, and large magnitude of microgrid data, based on the large data samples generated by microgrid operation, a fault diagnosis and analysis method of microgrid systems supported by big d...
Neural Networks, Computer Algorithms Computer Simulation Big Data Wavelet Analysis
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Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review.

Sensors (Basel, Switzerland) Mar 24, 2022
BACKGROUND: Industry 4.0 technologies have been widely used in the railway industry, focusing mainly on maintenance and control tasks necessary in the railway infrastructure. Given the great potential that these technologies offer, the scientific com...
Artificial Intelligence Technology Big Data Internet of Things Cloud Computing
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A Novel Reformed Reduced Kernel Extreme Learning Machine with RELIEF-F for Classification.

Computational intelligence and neuroscience Mar 24, 2022
With the exponential growth of the Internet population, scientists and researchers face the large-scale data for processing. However, the traditional algorithms, due to their complex computation, are not suitable for the large-scale data, although th...
Humans Machine Learning Algorithms Big Data Data Interpretation, Statistical Electronic Data Processing
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Deep convolutional neural network-based signal quality assessment for photoplethysmogram.

Computers in biology and medicine Mar 22, 2022
Quality assessment of bio-signals is important to prevent clinical misdiagnosis. With the introduction of mobile and wearable health care, it is becoming increasingly important to distinguish available signals from noise. The goal of this study was t...
Neural Networks, Computer Big Data Photoplethysmography Bayes Theorem Heart Rate
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An Empirical Evaluation of Network Representation Learning Methods.

Big data Mar 10, 2022
Network representation learning methods map network nodes to vectors in an embedding space that can preserve specific properties and enable traditional downstream prediction tasks. The quality of the representations learned is then generally showcase...
Humans Neural Networks, Computer Machine Learning Algorithms Big Data
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Are batch effects still relevant in the age of big data?

Trends in biotechnology Mar 10, 2022
Batch effects (BEs) are technical biases that may confound analysis of high-throughput biotechnological data. BEs are complex and effective mitigation is highly context-dependent. In particular, the advent of high-resolution technologies such as sing...
Artificial Intelligence Machine Learning Big Data
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New Progress in Artificial Intelligence Algorithm Research Based on Big Data Processing of IOT Systems on Intelligent Production Lines.

Computational intelligence and neuroscience Mar 10, 2022
Intelligent production line is the abbreviation of intelligent production line. Intelligent production line refers to a form of production organization that uses intelligent manufacturing technology to realize the production process of products. The ...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Big Data Intelligence
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Optimization of a Deep Learning Algorithm for Security Protection of Big Data from Video Images.

Computational intelligence and neuroscience Mar 8, 2022
With the rapid development of communication technology, digital technology has been widely used in all walks of life. Nevertheless, with the wide dissemination of digital information, there are many security problems. Aiming at preventing privacy dis...
Neural Networks, Computer Algorithms Deep Learning Big Data Computer Security
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Weighted IForest and siamese GRU on small sample anomaly detection in healthcare.

Computer methods and programs in biomedicine Feb 23, 2022
Background and objectiveAt present, many achievements have been made in anomaly detection of big data using deep neural network, However, in many practical application scenarios, there are still some problems, such as shortage of data, too large work...
Neural Networks, Computer Algorithms Delivery of Health Care Big Data
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