[HTML][HTML] Metaverse in advanced manufacturing: Background, applications, limitations, open issues & future directions

GC Amaizu, JN Njoku, JM Lee, DS Kim - ICT Express, 2024 - Elsevier
The metaverse promises to revolutionize the internet by introducing a new era of three-
dimensional objects. The advancements in artificial intelligence and immersive technologies …

Enhancing manufacturing operations with synthetic data: a systematic framework for data generation, accuracy, and utility

V Buggineni, C Chen, J Camelio - Frontiers in Manufacturing …, 2024 - frontiersin.org
Addressing the challenges of data scarcity and privacy, synthetic data generation offers an
innovative solution that advances manufacturing assembly operations and data analytics …

[HTML][HTML] Synthetic meets authentic: Leveraging llm generated datasets for yolo11 and yolov10-based apple detection through machine vision sensors

R Sapkota, Z Meng, M Karkee - Smart Agricultural Technology, 2024 - Elsevier
Training machine learning (ML) models for artificial intelligence (AI) and computer vision-
based object detection process typically requires large, labeled datasets, a process often …

[HTML][HTML] Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework

Z Gligorić, ÖF Görçün, M Gligorić, D Pamucar… - Journal of King Saud …, 2024 - Elsevier
Deep learning (DL) is one of the most promising technological developments emerging in
the fourth industrial revolution era for businesses to improve processes, increase efficiency …

Creating image datasets in agricultural environments using DALL. E: generative AI-powered large language model

R Sapkota, M Karkee - arxiv preprint arxiv:2307.08789, 2023 - arxiv.org
This research investigated the role of artificial intelligence (AI), specifically the DALL. E
model by OpenAI, in advancing data generation and visualization techniques in agriculture …

AI models and methods in automotive manufacturing: a systematic literature review

C Mueller, V Mezhuyev - Recent innovations in artificial intelligence and …, 2022 - Springer
While artificial intelligence (AI) experienced an increasing interest in industry during the past
decade, the true potential and applicability of AI for automotive original equipment …

[HTML][HTML] Hybrid Quality Inspection for the Automotive Industry: Replacing the Paper-Based Conformity List through Semi-Supervised Object Detection and Simulated …

I Rio-Torto, AT Campanico, P Pinho, V Filipe… - Applied Sciences, 2022 - mdpi.com
The still prevalent use of paper conformity lists in the automotive industry has a serious
negative impact on the performance of quality control inspectors. We propose instead a …

Utilizing synthetic data generation techniques to improve the availability of data in discrete manufacturing for ai applications: A review and framework

V Buggineni - 2023 - search.proquest.com
Acquiring high-quality data for AI applications in the manufacturing sector is challenging due
to the complex and proprietary nature of manufacturing processes, as well as the cost of …

Conformity assessment of informative labels in car engine compartment with deep learning models

R Ferreira, J Barroso, V Filipe - Journal of Physics: Conference …, 2022 - iopscience.iop.org
Industry 4.0 has been changing and improving the manufacturing processes. To embrace
these changes, factories must keep up to date with all the new emerging technologies. In the …

Domain adaptation method for semantic segmentation in marine vessel inspection

M Dyduch, RE Andersen… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The interior of the marine vessel's ballast tank changes drastically during its operational
period in harsh marine environments. An accurate semantic understanding of the ballast …