Sustainable development is a key challenge for contemporary human societies; failure to
achieve sustainability could threaten human survival. In this review article, we illustrate how …

A growing number of video streaming networks are incorporating machine learning (ML)
applications. The growth of video streaming services places enormous pressure on network …

The prevalence of skin diseases has increased dramatically in recent decades, and they are
now considered major chronic diseases globally. People suffer from a broad spectrum of …

Smart Grid (SG) is a digitally enabled power grid with an automatic capability to control
electricity and information between utility and consumer. SG data streams are heterogenous …

Objective Address model drift in a machine learning (ML) model for predicting diagnostic
imaging follow-up using data augmentation with more recent data versus retraining new …

Post Operation Clean Out (POCO) is the process to remove hazardous materials and
decommission nuclear facilities at the end of a nuclear plant's lifetime. The introduction of …

Many researchers are trying hard to minimize the incidence of cancers, especially GC. For
GC, the five-year survival rate is generally 5–25%, but for EGC it can be reduced by up to …

Novelty detection in data streams is the task of detecting concepts that were not known prior,
in streams of data. Many machine learning algorithms have been proposed to detect these …

Nowadays, the construction industry is on a fast track to adopting digital processes under the
Industrial Revolution (IR) 4.0. The desire to automate maximum construction processes with …

An adaptive machine learning (ML) based smart manufacturing interactive cyber physical
human system (ICPHS) is conceptualized, designed, and implemented. One of its significant …