Parkinson's disease is a neurodegenerative disorder that progresses slowly and its
symptoms appear over time, so its early diagnosis is not easy. A neurologist can diagnose …

Feature selection is the process of identifying the most relevant features from the given data
having a large feature space. Microarray datasets are comprised of high‐quality features …

Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder in the
world after Alzheimer's disease. Early diagnosing PD is challenging as it evolved slowly …

Emotion information represents a user's current emotional state and can be used in a variety
of applications, such as cultural content services that recommend music according to user …

The laser welding quality is determined by its welding statuses, and online welding statuses
are depicted by the real-time signals captured from the welding process. A multiple-sensor …

Network intrusion detection is one of the hottest and most difficult issues in the field of
network security. K-nearest neighbor technique is a kind of lazy classification algorithm …

Detection of Parkinson's disease remains challenge for physicians, especially, in the clinical
field due to the difficulty of cure. Thus, algorithms of classification have the main role in the …

The future weather data source will continue to grow rapidly, and new developments in
machine learning would allow government agencies and companies to use all this data …

With the advancement of technologies in the big data field, feature selection plays a vital role
in most of the prediction problems and many application domains including healthcare …

This study presents a comprehensive analysis of artificial intelligence (AI) techniques to
predict healthcare expenditure per capita (pcHCE) in Turkey. Well‐known AI techniques …