Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
A multistrategy differential evolution algorithm combined with Latin hypercube sampling applied to a brain-computer interface to improve the effect of node displacement. [PDF]
Chang H, Sun Y, Lu S, Lin D.
europepmc +1 more source
Solving text clustering problem using a memetic differential evolution algorithm. [PDF]
Mustafa HMJ +3 more
europepmc +1 more source
Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner +3 more
wiley +1 more source
A novel multi-hybrid differential evolution algorithm for optimization of frame structures. [PDF]
Salgotra R, Gandomi AH.
europepmc +1 more source
Research on UAV Conflict Detection and Resolution Based on Tensor Operation and Improved Differential Evolution Algorithm [PDF]
Zhichong Zhou +5 more
openalex +1 more source
Process‐Informed Analysis of As‐Built Metal Additive Surface Features
This article introduces a novel method for feature‐based surface texture characterisation directly incorporating manufacturing variables into the feature extraction workflow. This marks a major step towards identifying process‐specific surface properties and their influence on part function and hence a holistic understanding of process–structure ...
Theresa Buchenau +5 more
wiley +1 more source
Population diversity control based differential evolution algorithm using fuzzy system for noisy multi-objective optimization problems. [PDF]
Subburaj B +3 more
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Poverty modeling in the Islamic Republic of Iran using an ANFIS optimized network with the differential evolution algorithm (ANFIS_DE). [PDF]
Robati FN, Akbarifard H, Jalaee SA.
europepmc +1 more source

