With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …

It has become increasingly crucial and imperative to facilitate knowledge extraction for
decision support and deliver targeted information to analysts that span wide application …

Biometrics has emerged as a major domain for security systems. Ear as a biometric has
many distinctive features which makes it promising for personal identification systems. In this …

Premature ventricular contraction (PVC), which is a common form of cardiac arrhythmia
caused by ectopic heartbeat, can lead to life-threatening cardiac conditions. Computer …

In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and
build an ensemble of classifiers to reach a better performance. We show that, on CIFAR-10 …

Clickbaits are online articles with deliberately designed misleading titles for luring more and
more readers to open the intended web page. Clickbaits are used to tempt visitors to click on …

Brain-computer interface (BCI) is an alternative communication pathway between the human
brain and computer system without involving any muscles or actual motor neuron activities …

Purpose Automatic surgical workflow recognition enabled by computer vision algorithms
plays a key role in enhancing the learning experience of surgeons. It also supports building …

Criminology and crime analysis are growing areas of research dealing with huge amount of
past crime reports. Classification analysis identifies the crime patterns among the reports …

The present study investigates the applicability of deep learning methods in EEG
neuromarketing prediction tasks, compared to traditional machine learning approaches …