[HTML][HTML] Towards defining industry 5.0 vision with intelligent and softwarized wireless network architectures and services: A survey
Abstract Industry 5.0 vision, a step toward the next industrial revolution and enhancement to
Industry 4.0, conceives the new goals of resilient, sustainable, and human-centric …
Industry 4.0, conceives the new goals of resilient, sustainable, and human-centric …
Industry 5.0 is coming: A survey on intelligent nextG wireless networks as technological enablers
Industry 5.0 vision, a step toward the next industrial revolution and enhancement to Industry
4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches in …
4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches in …
Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties
The distribution of the power transformers at a far distance from the electrical plants
represents the main challenge against the diagnosis of the transformer status. This paper …
represents the main challenge against the diagnosis of the transformer status. This paper …
Machine learning approaches to rediscovery and optimization of hydrogen storage on porous bio-derived carbon
Three Machine learning (ML) models were constructed and tested to model the hydrogen
adsorption of activated carbons (ACs). Although many efforts have been accomplished, the …
adsorption of activated carbons (ACs). Although many efforts have been accomplished, the …
Numerical simulation of gears for fault detection using artificial intelligence models
H Wang, R Yang, J Xiang - Measurement, 2022 - Elsevier
Artificial intelligence (AI) models are widely used in every field of life to classify and predict
the abnormal conditions. The key to activating AI models is to obtain enough training …
the abnormal conditions. The key to activating AI models is to obtain enough training …
Modeling and Optimizing N/O-Enriched Bio-Derived Adsorbents for CO2 Capture: Machine Learning and DFT Calculation Approaches
The CO2 emission issue has triggered the promotion of carbon capture and storage (CCS),
particularly bio-route CCS as a sustainable procedure to capture CO2 using biomass-based …
particularly bio-route CCS as a sustainable procedure to capture CO2 using biomass-based …
Soft computing in business: exploring current research and outlining future research directions
Purpose The primary aim of this study is to detail the use of soft computing techniques in
business and management research. Its objectives are as follows: to conduct a …
business and management research. Its objectives are as follows: to conduct a …
Estimation of California bearing ratio for hill highways using advanced hybrid artificial neural network algorithms
California bearing ratio (CBR) is one of the important parameters that is used to express the
strength of the pavement subgrade of railways, roadways, and airport runways. CBR is …
strength of the pavement subgrade of railways, roadways, and airport runways. CBR is …
An artificial neural network supported Wiener process based reliability estimation method considering individual difference and measurement error
D Liu, S Wang, X Cui - Reliability Engineering & System Safety, 2022 - Elsevier
Due to the powerful ability of artificial neural network in data fitting, it has been applied to
describe the mean function in Wiener process for degradation modeling and estimating …
describe the mean function in Wiener process for degradation modeling and estimating …
A comprehensive state-of-the-art survey on the recent modified and hybrid analytic hierarchy process approaches
M Ashour, A Mahdiyar - Applied Soft Computing, 2024 - Elsevier
Abstract Analytic Hierarchy Process (AHP) is a widely applied technique in multi-criteria
decision-making (MCDM) problems. Over time, numerous hybridizations, improvements …
decision-making (MCDM) problems. Over time, numerous hybridizations, improvements …