The rapid progress in digitalization and automation have led to an accelerated growth in
healthcare, generating novel models that are creating new channels for rendering treatment …

The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …

Due to the lack of analytical solutions for the wear rates prediction of nanocomposites, we
present a modified machine learning method named Dendritic Neural (DN) to predict the …

Abstract Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …

A neural network is a computer system modeled on the nerve tissue and nervous system. In
this sense, neural networks refer to systems of neurons, either organic or artificial in nature …

Neural networks have proven to be a highly effective tool for solving complex problems in
many areas of life. Recently, their importance and practical usability have further been …

Embedded systems in production equipment and Internet of Things (IoT) sensors on
production lines are one of the elements that constitute an industrial cyber-physical system …

The DC Microgrid sounds familiar in recent days for its independent grid operation and
energizing small communities without relying on the central grid. The sudden change in …

Drug combination therapy is crucial in cancer treatment, but accurately predicting drug
synergy remains a challenge due to the complexity of drug combinations. Machine learning …

Abstract Representation learning of users and items is the core of recommendation, and
benefited from the development of graph neural network (GNN), graph collaborative filtering …