Results 201 to 210 of about 6,927,638 (333)

Investigation of Microscopic Nonmetallic Inclusions in Powder Metallurgical High‐Speed Steels

open access: yessteel research international, EarlyView.
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

Optimal structural design method for reinforced concrete column in buildings with high floor heights using a genetic algorithm

open access: yesStructural Concrete, EarlyView.
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

Using the Pareto Distribution to Improve Estimates of Topcoded Earnings

open access: yes, 2016
Philip Armour   +3 more
semanticscholar   +1 more source

Quantifying Structural Complexity, Effort, and Performance: An Early Experiment Using Network Design Tasks

open access: yesSystems Engineering, EarlyView.
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

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
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

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