Internet of things sensing networks, artificial intelligence-based decision-making algorithms, and real-time process monitoring in sustainable industry 4.0

E Nica, V Stehel - Journal of Self-Governance and Management …, 2021 - ceeol.com
This article presents an empirical study carried out to evaluate and analyze Internet of
Things sensing networks, artificial intelligence-based decision-making algorithms, and real …

Building maintenance cost estimation and circular economy: the role of machine-learning

A Mahpour - Sustainable Materials and Technologies, 2023 - Elsevier
The building industry generates large amounts of solid waste due to construction,
maintenance, or demolition activities. Although the construction and demolition waste is well …

[HTML][HTML] Workflow performance prediction based on graph structure aware deep attention neural network

J Yu, M Gao, Y Li, Z Zhang, WH Ip, KL Yung - Journal of Industrial …, 2022 - Elsevier
With the rapid growth of cloud computing, efficient operational optimization and resource
scheduling of complex cloud business processes rely on real-time and accurate …

[PDF][PDF] Machine learning algorithms for detection of cyber threats using logistic regression

H Gonaygunta - … of Information Technology, University of the …, 2023 - researchgate.net
The threat of cyber attacks is expanding globally; thus, businesses are develo** intelligent
artificial intelligence systems that can analyze security and other infrastructure logs from …

An industrial edge computing architecture for Local Digital Twin

RE Kondo, WJ Andrade, C de Mello Henequim… - Computers & Industrial …, 2024 - Elsevier
Abstract Cyber–Physical Production Systems usher in a new era of smart manufacturing,
with Digital Twin being a pivotal concept driving their adoption. Most literature concentrates …

Three-way decision TOPSIS for food business location under a benefit-opportunity-cost-risk platform

SA Scott, C Himang, R Ancheta, F Maturan… - Journal of …, 2024 - Taylor & Francis
This work holistically evaluates the factors that can aid decision makers in finding the
optimal location for food businesses in develo** economies. It integrates the analytic …

Improved GRU prediction of paper pulp press variables using different pre-processing methods

BC Mateus, M Mendes, J Torres Farinha… - Production & …, 2023 - Taylor & Francis
Predictive maintenance strategies are becoming increasingly more important with the
increased needs for automation and digitalization within pulp and paper manufacturing …

[HTML][HTML] Challenges of the Biopharmaceutical Industry in the Application of Prescriptive Maintenance in the Industry 4.0 Context: A Comprehensive Literature Review

JN de Carvalho, FR da Silva… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
The biopharmaceutical industry has specificities related to the optimization of its processes,
the effectiveness of the maintenance of the productive park in the face of regulatory …

A data‐driven and cost‐oriented FMEA–MCDM approach to risk assessment and ranking in a fuzzy environment: A hydraulic pump factory case study

H Shakibaei, S Seifi, J Zhuang - Risk Analysis, 2024 - Wiley Online Library
In today's highly competitive business environment, firms strive to maximize profitability by
minimizing or eliminating disruptions and failures to maintain a competitive edge. This study …

Introducing an integrated method for assessing supply chain sustainability based on HF-ARAS and IT2F-BWM

M Alvandi Ghiasvand, M Khalaj, AHK Dolatabadi - OPSEARCH, 2024 - Springer
Among the problems human beings are facing today is improper production of waste
including paper and plastic in the environment which along with wasting national net worth …