Improving operations through a lean AI paradigm: A view to an AI-aided lean manufacturing via versatile convolutional neural network

M Shahin, M Maghanaki, A Hosseinzadeh… - The International Journal …, 2024 - Springer
Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …

Analyzing Real-Time Object Detection with YOLO Algorithm in Automotive Applications: A Review.

C Gheorghe, M Duguleana, RG Boboc… - … in Engineering & …, 2024 - search.ebscohost.com
Identifying objects in real-time is a technology that is developing rapidly and has a huge
potential for expansion in many technical fields. Currently, systems that use image …

Harnessing customized AI to create voice of customer via GPT3. 5

M Shahin, FF Chen, A Hosseinzadeh - Advanced Engineering Informatics, 2024 - Elsevier
The integration of customer feedback is universally acknowledged as crucial in the product
development process. Yet, traditional feedback collection methods employed by companies …

Evaluation of digital twin synchronization in robotic assembly using YOLOv8

MTB Touhid, E Zhu, MV Ehteshamfara… - The International Journal of …, 2024 - Springer
In the age of Industry 4.0 and smart manufacturing, traditional production processes are
undergoing significant changes due to the integration of advanced technologies like …

Evaluating the fidelity of statistical forecasting and predictive intelligence by utilizing a stochastic dataset

M Shahin, FF Chen, M Maghanaki… - … International Journal of …, 2024 - Springer
Forecasting plays a pivotal role in reducing waste within the manufacturing enterprise by
aligning production closely with demand, thereby minimizing the excess that typically results …