Results 81 to 90 of about 26,953 (213)

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

Remaining Useful Life Estimation (RUL) For Critical Mechanical Components In Tractor

International Journal For Multidisciplinary Research
The proposed framework utilizes an evolutionary mathematical approach to optimize data-related parameters for estimating the Remaining Useful Life (RUL) of critical mechanical components. By integrating advanced time window techniques and considering factors like downtime and failure occurrences, it offers a comprehensive solution for RUL prediction ...
SAHIL BHAGAT -, SANJEEV GUPTA -, PARDEEP SINGH -   +2 more
openaire   +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

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction.

, 2014
International audienceReliability of prognostics and health management systems (PHM) relies upon accurate understanding of critical components' degradation process to predict the remaining useful life (RUL).
Medjaher, Kamal, Mosallam, Ahmed, Zerhouni, Noureddine   +2 more
core   +3 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

Development of Sustainable MgO–C Refractories Using MgO–C Recyclates and a Novel Eco‐Friendly Fructose–Tannin Binder Crosslinked With Citric Acid

Advanced Engineering Materials, Volume 28, Issue 10, 20 May 2026.
This study develops sustainable MgO–C refractories using recycled materials and eco‐friendly fructose–tannin binders. The enhanced performance of citric acid as a cross‐linker and functional additives on mechanical and thermomechanical properties was examined. Characterization included strength tests, immersion trials, and microstructural and inclusion
Dinesh K. Gunasekar, Jana Hubálková, Steffen Dudczig, Gert Schmidt, Florian Kerber, Thomas Schemmel, Patrick Gehre, Christos G. Aneziris   +7 more
wiley   +1 more source

Particle Filter-Based Prognostics for an Electrolytic Capacitor Working in Variable Operating Conditions

, 2015
International audiencePrognostic models should properly take into account the effects of operating conditions on the degradation process and on the signal measurements used for monitoring.
Astigarraga, Daniel, Baraldi, Piero, Galarza, Ainhoa, Rigamonti, Marco, Zio, Enrico   +4 more
core   +4 more sources

Supporting group maintenance through prognostics-enhanced dynamic dependability prediction [PDF]

, 2017
Condition-based maintenance strategies adapt maintenance planning through the integration of online condition monitoring of assets. The accuracy and cost-effectiveness of these strategies can be improved by integrating prognostics predictions and ...
Aizpurua, J. I., Aizpurua, Jose Ignacio, Catterson, V. M., Catterson, Victoria, Chiacchio, F., Chiacchio, Ferdinando, D'Urso, D., D'Urso, Diego, Papadopoulos, Y., Papadopoulos, Yiannis   +9 more
core   +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

Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis

Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.
ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim, Alba M. Franco‐Pereira, Rosa E. Lillo   +2 more
wiley   +1 more source