Results 131 to 140 of about 1,994,533 (253)
Optimization of the Production of Rubber Compounds Using Mathematical Models
Advanced Engineering Materials, EarlyView.Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Scalable Graphene Defect Prediction Using Transferable Learning. [PDF]
Nanomaterials (Basel), 2021 Zheng B, Zheng Z, Gu GX.
europepmc +1 more source
Modular Critical Element Recycling Platform Using a Nanoporous Additively Manufactured Gyroid
Advanced Engineering Materials, EarlyView.A modular recycling platform integrates 3D‐printed nanoporous gyroid structures to enable efficient critical element recovery. This system utilizes a hierarchical architecture, combining macroscopic channels with polymerization‐induced nanoscale porosity. By systematically tuning structural wall thickness and resin formulation, the platform achieves an
Xiangyu Gao +6 more
wiley +1 more source
Cross-Project Defect Prediction Based on Two-Phase Feature Importance Amplification. [PDF]
Comput Intell Neurosci, 2022 Xing Y, Lin W, Lin X, Yang B, Tan Z.
europepmc +1 more source
Building Defect Prediction Models in Practice
The information about which modules of a future version of a software system will be defect-prone is a valuable planning aid for quality managers and testers. Defect prediction promises to indicate these defect-prone modules.
Thomas Natschläger +2 more
core +1 more source
Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals
Advanced Engineering Materials, EarlyView.This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao +2 more
wiley +1 more source
Software Defect Prediction Based on Hybrid Swarm Intelligence and Deep Learning. [PDF]
Comput Intell Neurosci, 2021 Li Z +5 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review. [PDF]
Sensors (Basel), 2022 Jorayeva M +3 more
europepmc +1 more source
Software defect prediction on unlabeled datasets
, 2015 Defect prediction on new software projects or projects with limited historical data is an interesting problem in software engineering. It is difficult to collect defect information to label a dataset for training a prediction model.
Nam, Jaechang
core