[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective

A Entezari, A Aslani, R Zahedi, Y Noorollahi - Energy Strategy Reviews, 2023 - Elsevier
Economic development and the comfort-loving nature of human beings in recent years have
resulted in increased energy demand. Since energy resources are scarce and should be …

[HTML][HTML] Review of the application of Artificial Neural Networks in ocean engineering

NP Juan, VN Valdecantos - Ocean Engineering, 2022 - Elsevier
Abstract Artificial Neural Networks (ANNs) were firstly used to model ocean engineering
problems in the decade of 1990s. Since then, this soft-modelling technique has proved …

[HTML][HTML] Uncertainties in the application of artificial neural networks in ocean engineering

NP Juan, C Matutano, VN Valdecantos - Ocean Engineering, 2023 - Elsevier
Abstract Artificial Neural Networks (ANNs) are becoming more popular to model ocean
engineering problems. With the development of Artificial Intelligence, data-driven models …

Temperature gradient at the nozzle outlet in material extrusion additive manufacturing with thermoplastic filament

J Zhang, F Meng, E Ferraris - Additive Manufacturing, 2023 - Elsevier
The extrudate temperature at the nozzle outlet is a crucial indicator of the process limit in
material extrusion additive manufacturing with thermoplastic filament. However, there is a …

Influence of welding sequences on induced residual stress and distortion in pipes

N Moslemi, B Abdi, S Gohari, I Sudin… - … and Building Materials, 2022 - Elsevier
Abstract A three-dimensional (3D) finite element (FE) model based on thermal-elastic-plastic
approach in SYSWELD® was employed to investigate the effects of welding sequences on …

Parametric topology optimization approach for sustainable development of customized orthotic appliances using additive manufacturing

A Kumar, D Chhabra - Mechanics of Advanced Materials and …, 2024 - Taylor & Francis
The rapidly growing applications of additive manufacturing (AM) are transforming the
scenario of the medical industry for sustainably availing customized orthotic products. The …

[PDF][PDF] Artificial neural network procedures for the waterborne spread and control of diseases

N Ruttanaprommarin, Z Sabir, RAS Núñez… - AIMS Math, 2023 - aimspress.com
Artificial neural network procedures for the waterborne spread and control of diseases Page 1
AIMS Mathematics, 8(1): 2435−2452. DOI: 10.3934/math.2023126 Received: 07 July 2022 …

An experimental dynamic study of cement mortar with polyurethane residues and foundry sand

LRR da Silva, FCG Junior, PC Gonçalves… - Engineering …, 2023 - Elsevier
Although many studies have reported on the application of experimental, statistical,
numerical, and computational tools to composite structures, few have focused on the use of …

Thermal-based efficient modeling for mechanical properties of thermoplastic polymers in material extrusion

ZJ Li, TX Zhang, HL Dai, Y Yao, PH Xie - International Journal of Heat and …, 2024 - Elsevier
The process-induced void defects play an important role in the mechanical properties of
thermoplastic polymers fabricated by material extrusion (ME). Thus, it is meaningful to …

Combining finite element and machine learning methods to predict structures of architectured interlocking ceramics

H Ravanbakhsh, R Behbahani… - Advanced …, 2023 - Wiley Online Library
Attaining optimum structural ceramic designs calls for an extensive search in a vast design
space. Herein, the thermomechanical properties of interlocked ceramics are evaluated and …