Search Results - subject:"defect"

A data-driven approach to anomaly prediction in automotive display manufacturing

Rocha, Hugo; Moreno, Marta; Matos, Luís Miguel; … - 2025

This study investigates the Wet Optical Bonding (WOB) process in automotive display manufacturing within an Industry 4.0 framework. The objective is to enable early detection of display defects, such as air bubbles and particle contamination, by leveraging tabular WOB input features available...

Persistent link: https://www.econbiz.de/10015586632

Martingale defects in the volatility surface and bubble conditions in the underlying

Stahl, Philip; Blauth, Jérôme - In: Review of derivatives research 27 (2024) 1, pp. 85-111

Persistent link: https://www.econbiz.de/10015133910

Using CNNs for photovoltaic panel defect detection via infrared thermography to support industry 4.0

Spajić, Mislav; Talajić, Mirko; Mršić, Leo - In: Business systems research : a system view accross … 15 (2024) 1, pp. 45-66

studies using CNNs and IRT for PV panel defect detection. The analysis compared performance metrics, economic benefits, and … alignment with industry standards. Results CNN models demonstrated high accuracy in defect detection, with most achieving above …

Persistent link: https://www.econbiz.de/10015108206

Martingale defects in the volatility surface and bubble conditions in the underlying

Stahl, Philip; Blauth, Jérôme - In: Review of Derivatives Research 27 (2024) 1, pp. 85-111

theoretical result and analyze stock price bubbles in 2576 stocks over 26 years. Martingale defect conditions are absorbed quickly …

Persistent link: https://www.econbiz.de/10015373221

Using CNNs for photovoltaic panel defect detection via infrared thermography to support industry 4.0

Spajić, Mislav; Talajić, Mirko; Mršić, Leo - In: Business Systems Research (BSR) 15 (2024) 1, pp. 45-66

Persistent link: https://www.econbiz.de/10015408624

Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography

Pareek, Kaushal Arun; May, Daniel; Meszmer, Peter; Ras, … - In: Journal of Intelligent Manufacturing 36 (2024) 3, pp. 1879-1905

The vision of a deep learning-empowered non-destructive evaluation technique aligns perfectly with the goal of zero-defect … the biggest obstacles to realizing an intelligent defect detection system. This work presents a framework for bridging the …

Persistent link: https://www.econbiz.de/10015410170

Transformer-based models application for bug detection in source code

Vokhranov, Illia; Bulakh, Bogdan - In: Technology audit and production reserves 5 (2024) 2/79, pp. 6-15

Persistent link: https://www.econbiz.de/10015534347

Cascaded adaptive global localisation network for steel defect detection

Yu, Jianbo; Wang, Yanshu; Li, Qingfeng; Li, Hao; Ma, Mingyan - In: International journal of production research 62 (2024) 13, pp. 4884-4901

Persistent link: https://www.econbiz.de/10014547430

Industry 4.0 – The Global Industrial Revolution: Achievements, Obstacles and Research Needs for the Digital Transformation of Industry

Winter, Johannes (contributor) - 2023

This Special Issue delves into the strides made, challenges encountered, and research imperatives within the realm of Industrie 4.0 from both a scientific and practical standpoint. This publication features the voices of Industrie 4.0 pioneers Henning Kagermann and Wolfgang Wahlster, as well as...

Persistent link: https://www.econbiz.de/10015060960

Comparative study of image processing algorithms to detect defects in cast components

Muralidhar, Nikith - In: DBS business review : an international academic … 5 (2023), pp. 59-73

Persistent link: https://www.econbiz.de/10014252376