[HTML][HTML] Deep learning in optical metrology: a review

C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan… - Light: Science & …, 2022 - nature.com
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …

Machine learning and deep learning: A review of methods and applications

K Sharifani, M Amini - World Information Technology and …, 2023 - papers.ssrn.com
Abstract Machine learning and deep learning have rapidly emerged as powerful tools in
many fields, including image and speech recognition, natural language processing, and …

[HTML][HTML] YOLO-v1 to YOLO-v8, the rise of YOLO and its complementary nature toward digital manufacturing and industrial defect detection

M Hussain - Machines, 2023 - mdpi.com
Since its inception in 2015, the YOLO (You Only Look Once) variant of object detectors has
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …

Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective

B Wang, P Zheng, Y Yin, A Shih, L Wang - Journal of Manufacturing …, 2022 - Elsevier
Advances in human-centric smart manufacturing (HSM) reflect a trend towards the
integration of human-in-the-loop with technologies, to address challenges of human …

Study on artificial intelligence: The state of the art and future prospects

C Zhang, Y Lu - Journal of Industrial Information Integration, 2021 - Elsevier
In the world, the technological and industrial revolution is accelerating by the widespread
application of new generation information and communication technologies, such as AI, IoT …

Progress and perspectives in laser additive manufacturing of key aeroengine materials

C Tan, F Weng, S Sui, Y Chew, G Bi - International Journal of Machine …, 2021 - Elsevier
Aerospace is a key market driver for the advancement of additive manufacturing (AM) due to
the huge demands in high-mix low-volume production of high-value parts, integrated …

[HTML][HTML] State of the art in defect detection based on machine vision

Z Ren, F Fang, N Yan, Y Wu - International Journal of Precision …, 2022 - Springer
Abstract Machine vision significantly improves the efficiency, quality, and reliability of defect
detection. In visual inspection, excellent optical illumination platforms and suitable image …

Review of digital twin about concepts, technologies, and industrial applications

M Liu, S Fang, H Dong, C Xu - Journal of manufacturing systems, 2021 - Elsevier
Various kinds of engineering software and digitalized equipment are widely applied through
the lifecycle of industrial products. As a result, massive data of different types are being …

Machine learning in additive manufacturing: State-of-the-art and perspectives

C Wang, XP Tan, SB Tor, CS Lim - Additive Manufacturing, 2020 - Elsevier
Additive manufacturing (AM) has emerged as a disruptive digital manufacturing technology.
However, its broad adoption in industry is still hindered by high entry barriers of design for …

Sustainable industrial and operation engineering trends and challenges Toward Industry 4.0: A data driven analysis

ML Tseng, TPT Tran, HM Ha, TD Bui… - Journal of Industrial and …, 2021 - Taylor & Francis
This study supplies contributions to the existing literature with a state-of-the-art bibliometric
review of sustainable industrial and operation engineering as the field moves toward …