Investigation of Microscopic Nonmetallic Inclusions in Powder Metallurgical High‐Speed Steels
Methods for inclusion analysis are evaluated for suitability. Various powder metallurgical steels in different processing states are characterized. SEM/EDS data are further analyzed using analytical and statistical approaches. A thermodynamic method for determining inclusion phase composition is tested.
Manuel Schickbichler +5 more
wiley +1 more source
A prescription-free, radiobiology-based framework for automated VMAT planning: A feasibility study in primary prostate cancer radiotherapy. [PDF]
Kuhn D +5 more
europepmc +1 more source
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee +2 more
wiley +1 more source
Pareto-based design of thermophotovoltaic micro-combustors via a novel framework combining IGWO-tuned ANN, multi-objective multi-verse optimization, and ARAS-based decision making. [PDF]
Alawad MA +7 more
europepmc +1 more source
Using the Pareto Distribution to Improve Estimates of Topcoded Earnings
Philip Armour +3 more
semanticscholar +1 more source
ABSTRACT Structural Complexity is perceived as driving cost in system development, yet managing it effectively requires empirical understanding. This study investigates human decision‐making using a toy transportation‐style network design task, focusing on how Structural Complexity, Effort, and Performance interact. Seventy‐four participants (primarily
Alfonso Lanza +3 more
wiley +1 more source
Pareto-Driven Multiobjective Design of Axial-Flow Automotive Fan with Response Surface Modeling. [PDF]
Ren K +5 more
europepmc +1 more source
A multiobjective human evolutionary optimization algorithm for complex engineering problems. [PDF]
Tarunika D, Sharma A.
europepmc +1 more source
Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou +4 more
wiley +1 more source
Lévy Diffusion Under Power-Law Stochastic Resetting. [PDF]
Liu J, Li Y, Marchesoni F.
europepmc +1 more source

