A survey of human-in-the-loop for machine learning

X Wu, L Xiao, Y Sun, J Zhang, T Ma, L He - Future Generation Computer …, 2022 - Elsevier
Abstract Machine learning has become the state-of-the-art technique for many tasks
including computer vision, natural language processing, speech processing tasks, etc …

Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of manufacturing …

G Lăzăroiu, M Andronie, M Iatagan… - … International Journal of …, 2022 - mdpi.com
The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …

Industry 4.0: Current practice and challenges in Malaysian manufacturing firms

SI Tay, J Alipal, TC Lee - Technology in Society, 2021 - Elsevier
This research employed a qualitative approach to discuss the current practice and
challenges of Malaysian manufacturing firms in the implementation of Industry 4.0. The study …

Human-centred design in industry 4.0: case study review and opportunities for future research

H Nguyen Ngoc, G Lasa, I Iriarte - Journal of Intelligent Manufacturing, 2022 - Springer
The transition to industry 4.0 has impacted factories, but it also affects the entire value chain.
In this sense, human-centred factors play a core role in transitioning to sustainable …

Product decision-making information systems, real-time sensor networks, and artificial intelligence-driven big data analytics in sustainable Industry 4.0

A Novak, D Bennett, T Kliestik - Economics, Management and Financial …, 2021 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to explore product
decision-making information systems, real-time sensor networks, and artificial intelligence …

Industry 4.0: critical investigations and synthesis of key findings

M Elnadi, YO Abdallah - Management Review Quarterly, 2024 - Springer
The concept of Industry 4.0 has been one of the most debated and trending topics over the
last few years. Progressively, it has attracted the attention of academicians, practitioners …

[HTML][HTML] Hypergraph-based analysis and design of intelligent collaborative manufacturing space

L Nagy, T Ruppert, A Löcklin, J Abonyi - Journal of Manufacturing Systems, 2022 - Elsevier
A method for hypergraph-based analysis and the design of manufacturing systems has been
developed. The reason for its development is the need to integrate the human workforce into …

Human in the Loop: Industry 4.0 technologies and scenarios for worker mediation of automated manufacturing

CJ Turner, R Ma, J Chen, J Oyekan - IEEE access, 2021 - ieeexplore.ieee.org
Industry 4.0 derived technologies have the potential to enable a new wave of digital
manufacturing solutions for semi and fully automated production. In addition, this paradigm …

Learning by doing: A dual-loop implementation architecture of deep active learning and human-machine collaboration for smart robot vision

W Deng, Q Liu, F Zhao, DT Pham, J Hu, Y Wang… - Robotics and Computer …, 2024 - Elsevier
To develop vision systems for autonomous robotic disassembly, this paper presents a dual-
loop implementation architecture that enables a robot vision system to learn from human …

Data twin-driven cyber-physical factory for smart manufacturing

JS Jwo, CH Lee, CS Lin - Sensors, 2022 - mdpi.com
Because of the complex production processes and technology-intensive operations that take
place in the aerospace and defense industry, introducing Industry 4.0 into the manufacturing …