The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …

This work presents a novel Evolutionary Quantum Neural Network (EQNN) based workload
prediction model for Cloud datacenter. It exploits the computational efficiency of quantum …

Abstract Efficient prediction of Open Pit mining blast induced ground vibration, has an
important role in reduction of the environmental complaints. This paper proposed a new …

The urgency of conducting research in the field of quantum informatics is grounded.
Promising areas of research are highlighted. For foreign and Russian publications and …

Nowadays, the medical tourism industry encourages many healthcare practitioners to
provide high-quality and low-cost medical services for patients worldwide. The development …

Inspired by the collective behavior of fish schools, the fish school search (FSS) algorithm is a
technique for finding globally optimal solutions. The algorithm is characterized by its …

In the offshore oil industry, FPSO (floating, production, storage and offloading) units play a
leading role for the production, processing and storage of oil. The hull girder strength of …

We propose a methodology to estimate single and multiple emission sources of atmospheric
contaminants. It combines hybrid metaheuristic/gradient-descent optimization techniques …

In this study, the clustering method of the concrete matrix rupture and rubber fracture
damages as well as the prediction of the ultimate load of crumb rubber concrete using the …

In the present era, hospitals are actively encouraging their International Patient Departments
(IPD) to provide high-quality medical services at a cost-effective rate for international …