Critical components of Industry 5.0 towards a successful adoption in the field of manufacturing

M Javaid, A Haleem - Journal of Industrial Integration and …, 2020 - World Scientific
The fifth industrial revolution is known as Industry 5.0 and is being evolved to focus on the
personalized demand of customers. This industrial revolution is required to provide better …

Intelligent machines as information and communication technology and their influence on sustainable marketing practices for beneficial impact on business …

RK Behera, A Rehman, MS Islam, FA Abbasi… - Journal of Cleaner …, 2024 - Elsevier
Intelligent machines are the machines or devices that make use of artificial intelligence and
robotics technologies. It has the ability to accomplish a specific task in the presence of …

Predicting customer churn in mobile industry using data mining technology

EB Lee, J Kim, SG Lee - Industrial Management & Data Systems, 2017 - emerald.com
Purpose The purpose of this paper is to identify the influence of the frequency of word
exposure on online news based on the availability heuristic concept. So that this is different …

Combined data mining techniques based patient data outlier detection for healthcare safety

GB Gebremeskel, C Yi, Z He, D Haile - International Journal of …, 2016 - emerald.com
Purpose–Among the growing number of data mining (DM) techniques, outlier detection has
gained importance in many applications and also attracted much attention in recent times. In …

Analysis of user preference and expectation on shared economy platform: An examination of correlation between points of interest on Airbnb

M Abdar, NY Yen - Computers in Human Behavior, 2020 - Elsevier
Numbers of sharing economy services are significantly increasing recently. Using
computational techniques to obtain customer's behavior on these services are very helpful to …

[HTML][HTML] Architecture and optimization of data mining modeling for visualization of knowledge extraction: patient safety care

GB Gebremeskel, B Hailu, B Biazen - Journal of King Saud University …, 2022 - Elsevier
Visualization of the knowledge extraction process is a front line to reveal the detail process
and data structure, which is an advanced technique for the presentation of data modeling …

[Retracted] Construction of a Supply Chain Financial Logistics Supervision System Based on Internet of Things Technology

Z Wu, S Wang, H Yang, X Zhao - Mathematical Problems in …, 2021 - Wiley Online Library
In recent years, with the rapid development of the global economy and the development
trend of more and more stable, well‐developed network communications, online shopping …

Big data analytics–enabled cyber-physical system: model and applications

S Luo, H Liu, E Qi - Industrial Management & Data Systems, 2019 - emerald.com
Purpose The purpose of this paper is to propose a comprehensive framework for integrating
big data analytics (BDA) into cyber-physical system (CPS) solutions. This framework …

Lean Six Sigma tools in Industry 5.0: a sustainable innovation framework

B Rahardjo, FK Wang - Available at SSRN 4160391, 2022 - papers.ssrn.com
One of the visions of Industry 5.0 is a human-centered design and value creation. In the
quality field, the lean six sigma (LSS) method has been proven to develop better production …

Recognition performance of imputed control chart patterns using exponentially weighted moving average

R Haghighati, A Hassan - European Journal of Industrial …, 2018 - inderscienceonline.com
Performance of control chart pattern recogniser (CCPR) is dependent on the quality of data.
Furthermore, when data is partially missing, false alarms and misclassification rate are high …