AIMC Topic: Neural Networks, Computer

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Local-feature and global-dependency based tool wear prediction using deep learning.

Scientific reports
Evaluation of tool wear is vital in manufacturing system, since early detections on worn-out condition can ensure workpiece quality, improve machining efficiency. With the development of intelligent manufacturing, tool wear prediction technology play...

A pre-impact fall detection data segmentation method based on multi-channel convolutional neural network and class activation mapping.

Physiological measurement
A segmentation method for pre-impact fall detection data is investigated. Specifically, it studies how to partition data segments that are important for classification from continuous inertial sensor data for pre-impact fall detection.In this study, ...

Apache Spark and Deep Learning Models for High-Performance Network Intrusion Detection Using CSE-CIC-IDS2018.

Computational intelligence and neuroscience
Keeping computers secure is becoming challenging as networks grow and new network-based technologies emerge. Cybercriminals' attack surface expands with the release of new internet-enabled products. As many cyberattacks affect businesses' confidentia...

De novo prediction of RNA-protein interactions with graph neural networks.

RNA (New York, N.Y.)
RNA-binding proteins (RBPs) are key co- and post-transcriptional regulators of gene expression, playing a crucial role in many biological processes. Experimental methods like CLIP-seq have enabled the identification of transcriptome-wide RNA-protein ...

Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.

Computers in biology and medicine
COVID-19 detection using Artificial Intelligence and Computer-Aided Diagnosis has been the subject of several studies. Deep Neural Networks with hundreds or even millions of parameters (weights) are referred to as "black boxes" because their behavior...

Improved Protein Real-Valued Distance Prediction Using Deep Residual Dense Network (DRDN).

The protein journal
Three-dimensional protein structure prediction is one of the major challenges in bioinformatics. According to recent research findings, real-valued distance prediction plays a vital role in determining the unique three-dimensional protein structure. ...

MEEMD Decomposition-Prediction-Reconstruction Model of Precipitation Time Series.

Sensors (Basel, Switzerland)
To address the problem of low prediction accuracy of precipitation time series data, an improved overall mean empirical modal decomposition-prediction-reconstruction model (MDPRM) is constructed in this paper. First, the non-stationary precipitation ...

Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method.

Sensors (Basel, Switzerland)
We proposed an automatic detection method of slope failure regions using a semantic segmentation method called Mask R-CNN based on a deep learning algorithm to improve the efficiency of damage assessment in the event of slope failure disaster. There ...

Mapping Local Climate Zones in the Urban Environment: The Optimal Combination of Data Source and Classifier.

Sensors (Basel, Switzerland)
The novel concept of local climate zones (LCZs) provides a consistent classification framework for studies of the urban thermal environment. However, the development of urban climate science is severely hampered by the lack of high-resolution data to...

A Machine Learning Approach to Improve Ranging Accuracy with AoA and RSSI.

Sensors (Basel, Switzerland)
Ranging accuracy is a critical parameter in time-based indoor positioning systems. Indoor environments often have complex structures, which make centimeter-level-accurate ranging a challenging task. This study proposes a new distance measurement meth...