Non-negative Matrix Factorization (NMF), a classical method for dimensionality reduction,
has been applied in many fields. It is based on the idea that negative numbers are physically …

Automatic, accurate and online fault detection of heating ventilation air conditioning (HVAC)
subsystems, such as chillers, is highly demanded in building management system (BMS) to …

Anomaly detection of time series is an important topic that has been widely studied in many
application areas. A number of computational methods were developed for this task in the …

Deep learning has been widely used for plant disease recognition in smart agriculture and
has proven to be a powerful tool for image classification and pattern recognition. However, it …

Parkinson's disease (PD) is one of the public neuro-degenerative disorders. Speech/voice
disorder is considered one of the symptoms at an early stage. Acoustic and speech signal …

Objective To build a model for proximal junctional kyphosis (PJK) prognostication in Lenke 5
adolescent idiopathic scoliosis (AIS) patients undergoing long posterior instrumentation and …

At present, with continuously expanding of Chinese credit market, thus large amounts of P2P
(person-to-person borrow or lend money in Internet Finance) platform were born and have …

Single-cell RNA sequencing (scRNA-seq) enables researchers to reveal previously
unknown cell heterogeneity and functional diversity, which is impossible with bulk RNA …

This paper addresses the problem of accounting for confounding factors and expression
quantitative trait loci (eQTL) mapping in the study of SNP-gene associations. The existing …

Improving classification performance is an essential goal for various practical applications.
Feature selection has become an important data preprocessing step in machine learning …