Results 101 to 110 of about 14,298 (230)

Multiaxial Fatigue Behavior of AA6016 and AA6016 to DX54D SPR Joints: Fracture Mechanisms and Data‐Driven Rupp's Model

Fatigue &Fracture of Engineering Materials &Structures, EarlyView.
ABSTRACT The fatigue and fracture behavior of self‐piercing rivet (SPR) joints between AA6016 aluminum sheets (1–2 mm) and DX54D steel (0.95 mm) was studied under 90°, 45°, and 0° multiaxial loading. Pure shear (90°) loading produced the highest fatigue strength, whereas multiaxial (45°) loading resulted in reduced performance, with pure tension (0 ...
Alan Woo, Amelie Malpot, Behzad Behravesh, Saeid Rezaee, Amirsalar Anousheh, Hamid Jahed   +5 more
wiley   +1 more source

Development of a Multi-Model Strategy Based Soft Sensor Using Gaussian Process Regression and Principal Component Analysis in Fermentation Processes

Chemical Engineering Transactions, 2017
In fermentation processes, single model based soft sensors cannot guarantee prediction performance owing to process characteristics of non-linearity, shifting operating modes, dynamics and uncertainty.
C. Mei, Y. Chen, H. Zhang, X. Chen, G. Liu   +4 more
doaj   +1 more source

Application of Artificial Intelligence in Food Science and Nutrition: Challenges and Future Perspectives

eFood, Volume 7, Issue 3, June 2026.
AI application can be very helpful in addressing different issues and shaping novel techniques in food production, food safety and quality, and food intake. AI application in food science, such as the food industry and processing, food safety and packaging, and nutrition.
Yaseen Galali, Pary Hadi, Arkan Mohammed Hassan, Holem Hashm Balaky, Tavga Sulaiman Rashid, Bashdar Abuzed Sadee, Tanya Salam Salih, Hamed Hassanzadeh   +7 more
wiley   +1 more source

Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 7, Page 1533-1551, June 2026.
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman, Enrico Tubaldi, Roberto Gentile, John Douglas   +3 more
wiley   +1 more source

Quality Assessment and Predictive Modeling of Chickpea, Lentil and Camelina Yield: Effects of Nitrogen, Irrigation, Rainfed Conditions, and Intercropping Using Machine Learning Approaches

Legume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Given increasing water scarcity, the need to reduce chemical inputs, and the growing demand for nutritionally valuable vegetable oils, identifying sustainable cropping systems for camelina production has become increasingly important. This study aimed to evaluate the combined effects of nitrogen application, irrigation regimes (irrigated and ...
Shahzad Jamaati Somarin, Elmira Mohammadvand, Gholamreza Mohsenabadi, Majid Majidian   +3 more
wiley   +1 more source

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

Application of Even Span Greenhouse Solar Dryer (ESGSD) for drying Persian shallot; Kinetic analysis, machine learning modeling and quality evaluation

Case Studies in Thermal Engineering
This paper presents an experimental analysis of the Even Span Greenhouse Solar Dryer (ESGSD) for drying Persian shallot. The results are compared with three different oven drying methods at three temperatures including: 70 °C, 60 °C and 50 °C ...
Morteza Taki, Mohammad Noshad, Mohammad Mehdi Jasemi, Fatemeh Isvandi   +3 more
doaj   +1 more source

Recursive Feasibility of Nonlinear Stochastic Model Predictive Control With Gaussian Process Dynamics

International Journal of Robust and Nonlinear Control, Volume 36, Issue 9, Page 4957-4970, June 2026.
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf, Andreas Völz, Knut Graichen   +2 more
wiley   +1 more source

Estimation and validation of solubility of recombinant protein in E. coli strains via various advanced machine learning models

Scientific Reports
This study presents a comprehensive approach to predicting solubility of recombinant protein in four E. coli samples by employing machine learning techniques and optimization algorithms.
Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah   +2 more
doaj   +1 more source

Emerging Machine Learning Strategies for Digital Processing and Additive Manufacturing of Advanced Ceramics

International Journal of Applied Ceramic Technology, Volume 23, Issue 3, June 2026.
ABSTRACT Machine learning (ML) techniques are increasingly being applied to the development and processing of advanced ceramics, enabling predictive design, formulation optimization, and improved control of manufacturing workflows. This review presents an integrated and application‐oriented analysis of ML approaches in ceramic engineering, with ...
Sioney Teixeira Monteiro, Isaac A. T. Monteiro, J. R. Fernandez‐Gamboa, Yurimiler Leyet Ruiz   +3 more
wiley   +1 more source