The explosive growth of data in volume, velocity and diversity that are produced by medical
applications has contributed to abundance of big data. Current solutions for efficient data …

Fast fashion is a commonly adopted strategy in fashion retailing. Under fast fashion,
operational decisions have to be made with a tight schedule and the corresponding …

Finding out the transformer incipient faults and their development trend has always been a
central issue for electric power companies. In this paper, a novel approach combing wavelet …

A novel intelligent diagnosis model based on wavelet support vector machine (WSVM) and
immune genetic algorithm (IGA) for gearbox fault diagnosis is proposed. Wavelet support …

Sales forecasting is crucial in fashion business because of all the uncertainty associated
with demand and supply. Many models for forecasting fashion products are proposed in the …

Since computer products are highly replaceable and consumer demand often changes
dramatically with the invention of new computer products, sales forecasting is therefore …

This paper presents a forecasting model based upon least squares support vector machine
(LS-SVM) regression and particle swarm optimization (PSO) algorithm on dissolved gases in …

Artificial neural networks (ANNs) have been found to be useful for sales/demand forecasting.
However, one of the main shortcomings of ANNs is their inability to identify important …

In recent years, Gaussian process (GP) models have been popularly studied to solve hard
machine learning problems. The models are important due to their flexible non-parametric …

Accurate prediction of ground surface settlement is necessary for effectively controlling the
settlement that develops during tunneling. Many models have been established for this …