[HTML][HTML] Recent applications of Explainable AI (XAI): A systematic literature review
M Saarela, V Podgorelec - Applied Sciences, 2024 - mdpi.com
This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Deep learning-based assessment of saturated flow boiling heat transfer and two-phase pressure drop for evaporating flow
This work proposes new correlations as well as deep learning based modeling of saturated
flow boiling heat transfer and two-phase pressure drops for evaporating flow. First, existing …
flow boiling heat transfer and two-phase pressure drops for evaporating flow. First, existing …
Fatigue failure mechanisms and life prediction of additive manufactured metallic lattices: a comprehensive review
H **n, D Tang, L Dang, L Gao, Z Yang… - Virtual and Physical …, 2025 - Taylor & Francis
In recent years, expanding application scenarios have imposed higher demands on the
geometric design and performance of metallic structures. Additive manufacturing (AM) has …
geometric design and performance of metallic structures. Additive manufacturing (AM) has …
[HTML][HTML] Explainable artificial intelligence-based insights into the corrosion behavior of WS2/AZ91 composites subjected to severe deformation conditions
Magnesium (Mg) alloys have found potential applications in aeronautical, automotive, 3C
industries, and the like owing to their good machinability, high specific strength, and low …
industries, and the like owing to their good machinability, high specific strength, and low …
A new insight into two-phase flow pressure-drop estimation and optimization of the refrigerant R1234yf
The overall aim of this study is to predict and optimize the two-phase pressure drop (2φΔP)
of a refrigerant R1234yf for a wide range of testing conditions. At first, feature engineering …
of a refrigerant R1234yf for a wide range of testing conditions. At first, feature engineering …
[HTML][HTML] A Hybrid Data-Driven Metaheuristic Framework to Optimize Strain of Lattice Structures Proceeded by Additive Manufacturing
This research is centered on optimizing the mechanical properties of additively
manufactured (AM) lattice structures via strain optimization by controlling different design …
manufactured (AM) lattice structures via strain optimization by controlling different design …
[HTML][HTML] A neural Multi-Objective Capacitated Vehicle Routing Optimization algorithm based on preference adjustment
L Wang, C Song, Y Sun, C Lu, Q Chen - Electronics, 2023 - mdpi.com
The vehicle routing problem (VRP) is a common problem in logistics and transportation with
high application value. In the past, many methods have been proposed to solve the vehicle …
high application value. In the past, many methods have been proposed to solve the vehicle …
[HTML][HTML] Mechanical Characterization of FDM 3D-Printed Components Using Advanced Measurement and Modeling Techniques
M Wikło, BH Byczuk, K Skrzek - Materials, 2025 - mdpi.com
The study investigates the mechanical characterization of PET-G components fabricated via
Fused Deposition Modeling (FDM), integrating experimental testing with advanced …
Fused Deposition Modeling (FDM), integrating experimental testing with advanced …
[HTML][HTML] Experiment Investigation of the Compression Behaviors of Nickel-Coated Hybrid Lattice Structure with Enhanced Mechanical Properties
The lattice metamaterial has attracted extensive attention due to its excellent specific
strength, energy absorption capacity, and strong designability of the cell structure. This …
strength, energy absorption capacity, and strong designability of the cell structure. This …