Results 151 to 160 of about 1,270,531 (339)

3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment

Advanced Engineering Materials, EarlyView.
This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian, Gerard Bel Català, Daniel Saakes, Bernard Rolfe, Ian Gibson, Mehrshad Mehrpouya   +5 more
wiley   +1 more source

Simultaneous spectrophotometric determination of nitroanilines using genetic-algorithm-based wavelength selection in principal component-artificial neural network [PDF]

, 2012
Mohammad Goodarzi
openalex   +1 more source

X‐Ray Computed Tomography Quantifies Primary Phases and Reveals Crack Morphology in High‐Cycle Fatigue of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder, Ying Han, Tobias Fritsch, Bardia Hejazi, Alexander Ulbricht, Birgit Skrotzki, Giovanni Bruno   +6 more
wiley   +1 more source

A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning. [PDF]

Sci Rep
Ding J, Du J, Wang H, Xiao S.
europepmc   +1 more source

Automatic Block Selection for Synthesizing Texture Images using Genetic Algorithms

, 2009
Noor A. Ibraheem, Mokhtar M. Hasan, Shaima Mahdi   +2 more
openalex   +2 more sources

A Simulative Approach for the Prediction of Mesoscale Residual Stress Fields in Solution‐Strengthened Ferritic Ductile Iron

Advanced Engineering Materials, EarlyView.
This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach, Oliver Schenk, Valérian Iss, Ali Rajaei, Jiali Zhang, Felix Weber, Christoph Broeckmann   +6 more
wiley   +1 more source

Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer. [PDF]

BMC Bioinformatics
Elnahas O, Ead WM, Qiu Y, Lu J.
europepmc   +1 more source

Investigation of Iron‐Aluminide‐Like Phase Composition in Complex Concentrated Fe32Cu12Ni11Ti16Al29 Alloy

Advanced Engineering Materials, EarlyView.
This work reveals the phase composition and quantitative morphology analysis of precipitation‐hardened Fe32Cu12Ni11Ti16Al29 complex‐concentrated alloy. The precipitates are shown to have a high coherency. Morphology transition between sphere, cuboidal, and elongated morphology is observed. Finally, the overaging behavior is captured using microhardness.
Rostyslav Nizinkovskyi, Lukas Hanisch, Georg Hasemann, Puspendu Sahu, Manja Krüger   +4 more
wiley   +1 more source

Accurate Calibration of Kinematic Parameters of a Robot Using a Laser Tracking System : Compensation of Non-Geometric Errors Using Neural Networks and Selection of Optimal Measuring Points Using Genetic Algorithm

, 2010
T. Nakata, Yuki Hayano, Atsushi Kohama, Masato Suzuki, Tomokazu Takahashi, Seiji Aoyagi   +5 more
openalex   +2 more sources

Double Selection Genetic Algorithm for Information Extraction

, 2015
H. Balaji, A. Govardhan
semanticscholar   +1 more source