A review of the fault diagnostic techniques based on machine is presented in this paper. As
the world is moving towards industry 4.0 standards, the problems of limited computational …

Clustering approaches are extensively used by many areas such as IR, Data Integration,
Document Classification, Web Mining, Query Processing, and many other domains and …

Determining the quality of the results obtained by clustering techniques is a key issue in
unsupervised machine learning. Many authors have discussed the desirable features of …

In a time where social media is fundamental for any political campaign and to share a
message with an electoral audience, this study searches for a conclusion of the actual …

Healthcare prediction has been a significant factor in saving lives in recent years. In the
domain of health care, there is a rapid development of intelligent systems for analyzing …

Predicting the impact of input process variables on chemical processes is key to assess their
performance of the latter. Models explaining this impact through a mechanistic approach are …

Passive acoustic monitoring (PAM) has the potential to greatly improve our ability to monitor
cryptic yet vocal animals. Advances in automated signal detection have increased the scope …

Support vector machine (SVM) algorithms are prevalent in classifying electroencephalogram
(EEG) signals for the detection of mental stress at various levels. This study aimed to reduce …

Rare diseases (RDs) concern a broad range of disorders and can result from various
origins. For a long time, the scientific community was unaware of RDs. Impressive progress …

Abstract The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in
recent years, leading to a surge in research on this topic that is widely represented in the …