[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective
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 …
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 …
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 …
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
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 …
material extrusion additive manufacturing with thermoplastic filament. However, there is a …
Influence of welding sequences on induced residual stress and distortion in pipes
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 …
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
The rapidly growing applications of additive manufacturing (AM) are transforming the
scenario of the medical industry for sustainably availing customized orthotic products. 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
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 …
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 …
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 …
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 …
space. Herein, the thermomechanical properties of interlocked ceramics are evaluated and …