Machine learning methods enable the electronic nose (E-Nose) for precise odor
identification with both qualitative and quantitative analysis. Advanced machine learning …

Many research groups in academia and industry are focusing on the performance
improvement of electronic nose (E-nose) systems mainly involving three optimizations …

Recent advances in the field of electronic noses (e-noses) have led to new developments in
both sensors and feature extraction as well as data processing techniques, providing an …

The emerging areas of IoT and sensor networks bring lots of software applications on a daily
basis. To keep up with the ever-changing expectations of clients and the competitive market …

The development of Internet of Thing technology and robotics can be significantly promoted
to a higher level with a precise digital sense of odors. However, the detection and …

A novel transformer fault diagnosis method using self-powered radio frequency identification
(RFID) sensor tag, deep belief network (DBN), and multiple kernel support vector machine …

Diabetes is one of the common disease that many people have suffered especially elderly.
However, unfortunately only few of them that aware of this metabolic disease and most of …

A novel classification technique for bacteria detection termed quantum-behaved particle
swarm optimization-based restricted Boltzmann machine (QPSO-RBM) based on electronic …

A novel classification model, named the quantum-behaved particle swarm optimization
(QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is …

A novel multi-class classification method for bacteria detection termed quantum-behaved
particle swarm optimization-based kernel extreme learning machine (QPSO-KELM) based …