With the development of new technologies, particularly Internet of Things (IoT), there has
been an increase in the deployment of low-cost air quality monitoring systems. Compared to …

In this paper, a novel, parameter-free, incremental local density and cluster-based outlier
factor (iLDCBOF) method is presented that unifies incremental versions of local outlier factor …

Detecting outliers in real time from multivariate streaming data is a vital and challenging
research topic in many areas. Recently introduced the incremental Local Outlier Factor …

Uncommon observations that significantly vary from the norm are referred to as outliers.
Outlier detection, which aims to detect unexpected behavior, is a critical topic that has …

Cervical cancer is the most prevailing woman illness globally. Since cervical cancer is a very
preventable illness, early diagnosis exhibits the most adaptive plan to lessen its global …

The increasing popularity of various intelligent sensor and mobile communication
technologies has enabled quick health physique sensing, monitoring, collection and …

Efficiently managing temperature and humidity in a pig house is crucial for enhancing
animal welfare. This research endeavors to develop an intelligent temperature and humidity …

As stated in the Special Issue call,“sensors are eyes or/and ears of an intelligent system,
such as Unmanned Aerial Vehicle (UAV), Automated Guided Vehicle (AGV) and robots. With …

Immune therapy for cancer patients is a new and promising area that in the future may
complement traditional chemotherapy. The cell expansion phase is a critical part of the …

An outlier, known as an error state, can bring valuable cognitive analytic results in many
industrial applications. Aiming at detecting outliers as soon as they appear in data streams …