Results 81 to 90 of about 18,585 (221)

Different methods for RUL prediction considering sensor degradation

Reliability Engineering & System Safety
International ...
Hassan Hachem, Hai Canh Vu, Mitra Fouladirad   +2 more
openaire   +2 more sources

Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork

eFood, Volume 7, Issue 3, June 2026.
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar, Mariyam Shahid, Manat Chaijan, Worawan Panpipat, Djilali Benabdelmoumene, Ahmed Mediani, Abdifetah Ibrahim Omar, Sabrin R. M. Ibrahim, Qudrat Ullah, Temesgen Anjulo Ageru   +9 more
wiley   +1 more source

Building a Digital Twin for Material Testing: Model Reduction and Data Assimilation

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT The rapid advancement of industrial technologies, data collection, and handling methods has paved the way for the widespread adoption of digital twins (DTs) in engineering, enabling seamless integration between physical systems and their virtual counterparts.
Rubén Aylwin, Nina Beranek, Gajendra Babu Budihala, Matthias Mettenleiter, Goksu Oruc, Karsten Urban   +5 more
wiley   +1 more source

Fatigue evaluation in maintenance and assembly operations by digital human simulation [PDF]

, 2010
Virtual human techniques have been used a lot in industrial design in order to consider human factors and ergonomics as early as possible. The physical status (the physical capacity of virtual human) has been mostly treated as invariable in the current ...
A Garg, A Hill, A Ren, AR Tilley, B Witmer, Bo Hu, D Anderson, D Chaffin, D Chaffin, D Roman-Liu, D Wood, Damien Chablat, DB Chaffin, Fouad Bennis, François Guillaume, G Chryssolouris, G Li, H Bubb, H Hou, H Iridiastadi, H Sato, I Ben-Gal, J Ding, J Fuller, J Liu, J Ritchie, J Yang, K El ahrache, K El ahrache, L Ma, Liang Ma, M Damsgaard, NI Badler, P Chedmail, S Mathiassen, T Komura, T Xia, W Khalil, W Rohmert, Wei Zhang, Y Arzi, Y Chen, Y Giat   +42 more
core   +5 more sources

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, Volume 42, Issue 4, Page 1426-1442, June 2026.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Integrating Machine Learning-Based Remaining Useful Life Predictions with Cost-Optimal Block Replacement for Industrial Maintenance

International Journal of Prognostics and Health Management
This study presents a preventive maintenance methodology to predict the remaining useful life (RUL) of mechanical systems and determine cost-effective replacement schedules.
Young-Suk Choo, Seung-Jun Shin
doaj   +1 more source

Can we apply accelerator-cores to control-intensive programs? [PDF]

, 2009
There is a trend towards using accelerators to increase performance and energy efficiency of general-purpose processors. So far, most accelerators have been build with HPC-applications in mind.
De Bosschere, Koen, Rul, Sean, Vandierendonck, Hans   +2 more
core   +1 more source

On the Influence of Antioxidants and Recycled MgO–C Source Material on the Mechanical Properties of Carbon‐Bonded Magnesia Refractories

Advanced Engineering Materials, Volume 28, Issue 10, 20 May 2026.
The presented study focuses on the fracture behaviour of carbon‐bonded magnesia MgO–C refractories, where environmentally friendly fructose, collagen and lignin serve as temporary binding agents. The partial substitution of the source material with recycled MgO–C reduces the fracture resistance, which can be counteracted by the additional introduction ...
Marc Neumann, Tom Weber, Jana Hubálková, Florian Kerber, Dinesh Kumar Gunasekar, Hans Jelitto, Christos G. Aneziris   +6 more
wiley   +1 more source

Remaining Life Prediction of Bearings Based on Improved IF-SCINet

IEEE Access
In the field of health management, predicting the remaining useful life (RUL) of a device becomes critical. However, the RUL prediction process is often affected by a various of confounding factors, resulting in reduced prediction accuracy.
Jing Zhang, Chao Zhang, Shuai Xu, Guiyi Liu, Hongbo Fei, Le Wu   +5 more
doaj   +1 more source

Evaluation of the reliability of markerless tumor tracking with single‐energy and dual‐energy imaging using machine learning

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Background Markerless tumor tracking (MTT) using single‐energy (SE) kilovoltage (kV) imaging has been proposed as a technique for lung tumor motion management. However, bony structures can obscure the tumor and make tracking challenging.
Ha Nguyen, Jason Luce, Liangjia Zhu, Mathias Lehmann, Hyejoo Kang, Matthew M. Harkenrider, John C. Roeske   +6 more
wiley   +1 more source