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This study introduces an innovative approach integrating artificial intelligence (AI) and statistical modelling techniques to enhance the prediction of earth dam slope stability. Utilizing advanced methodologies, including Classification and ...

• AI innovation for slope stability prediction, omitting safety factor calculations.
• Using CART models, it predicts earth dam slope stability from 6 key inputs.
• CART's decision tree format is user-friendly and valuable.

Epilepsy is a severe neurological disorder that causes seizures. It is detected by analyzing the electrical impulses of the human brain. Monitoring the brain is commonly done using an electroencephalogram (EEG). Seizure detection from the large ...

Transfer learning improves remaining useful life (RUL) prediction accuracy across domains by aligning data distributions for different operating conditions. However, the uncertainty caused by the complex working conditions and stochastic ...

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• A cross-domain probability prediction model is built for rolling bearings.
• The model compresses the uncertainty interval of RUL cross-domain prediction.
• The model improves the reliability of the prediction results.
• The model is ...

Federated learning (FL) is susceptible to Byzantine attacks due to its inherently distributed and privacy-preserving nature. Most model parameters-based defense methods become utterly ineffective under intense non-independent and identically ...

• Propose a robust aggregation algorithm called RFVIR against Byzantine attacks.
• Provide an insight that the Byzantine attackers and benign clients can be discriminated through feature representation on a virtual dataset.
• Leverage ...

Artificial neural network (ANN) has acquired noticeable interest from the research community to handle complex problems in Construction and Building engineering (CB). This interest has led to an enormous amount of scientific publications in ...

• Performing scientometric review for ANN Applications in Construction and Building Engineering publications.
• Visualizing publications collaboration networks for key contributors.
• Visualizing publications direct citation networks for ...

Artificial intelligence is getting a foothold in medicine for disease screening and diagnosis. While typical machine learning methods require large labeled datasets for training and validation, their application is limited in clinical ...

• Application of unsupervised learning for automated clustering of spectra profiles.

• Presents a new approach for Generalizable Morphing Attack Detection by learning residuals from Encoder-Decoder network.

Face recognition systems (FRS) are vulnerable to different kinds of attacks. Morphing attack combines multiple face images to obtain a single face image that can verify equally against all contributing subjects. Various Morphing Attack ...

The motion of objects in a video from one frame to another must be estimated quickly to speed up the video compression process. However, this should not deteriorate the visual appearance of the contents beyond the appropriate scope. This paper ...

• This paper presented for the first time the stratification of pulse into five layers. In addition, for the first time, acoustic sensors were used to collect ...

As a common pathological pulse, unsmooth pulse has important diagnostic value in traditional Chinese medicine (TCM). In modern pulse diagnosis, unsmooth pulse plays an important role in the diagnosis ...

Disorders related to sleep has become one of the prime issues in human life, which may become the major reasons for health consequences. This work proposes an efficient approach to discriminate sleep stage from non-sleep stage by analysing ...

Outlier detection is a fundamental issue in data mining and machine learning. Most methods calculate outlier score for each object and then threshold the scores to detect outliers. Most widely used thresholding techniques are based on statistics like ...

In the ever-changing1 real estate market, there are certain factors that have a huge impact on the fluctuating of house prices, and there are relationships between those factors. The only way to understand the behavior of the changes would be to explore ...

Tourism is one of the most important industries to Florida's economy. There are numerous factors that contribute to the number of tourist visiting Florida each year and there by impacting the employment and the economy. Forecasting the number of tourists ...

In healthcare, Wireless Body Area Networks (WBANs) are wireless networks of heterogeneous wearable medical computing devices that enable remote monitoring of a patient's health status, physiological monitoring of vital signs. An important aspect in the ...

This paper presents a novel method for multimedia document content analysis through modeling multimodal data correlations. We hypothesize that the correlation of different modalities from the same data source can help achieve better multimedia content ...

When discussing forecasting, most textbooks in management science or operations management explain that the values in a time series are a function of seasonality, trend, and random variation. Many textbooks have pictures depicting different patterns of ...

For the purpose of magnetic anomaly detection under oceanic waves' magnetic noise, this paper proposed an AR model to describe the noise, and a computational model to describe magnetic anomaly at first. Then, the background noise and magnetic anomaly ...

This column examines the relationship between design and manufacturing: how it used to work, how it works now, and what the design-manufacturing interface portends for the future.

A smoothing principle for M-estimators is proposed. The smoothing depends on the sample size so that the resulting smoothed M-estimator coincides with the initial M-estimator when n->~. The smoothing principle is motivated by an analysis of the ...

In this paper, we propose a genetic fuzzy image filtering based on rank-ordered absolute differences (ROAD) and median of the absolute deviations from the median (MAD). The proposed method consists of three components, including fuzzy noise detection ...