Results 121 to 130 of about 383,452 (267)

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Multi-objective design optimization for high-lift aircraft configurations supported by surrogate modeling [PDF]

, 2013
Nowadays, the competition among airlines seriously depend upon the saving operating costs, with the premise that not to degrade its services quality.
Li, Daxin
core  

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Electrified Damage in Motion Systems

Advanced Engineering Materials, EarlyView.
The electrified damage in motion systems is a fundamental framework presenting the degradation pathway arising from the coupling of electrical energy transport with mechanical contact and interfacial chemistry. The framework positions electrified damage as a distinct degradation regime with unique characteristic surface morphologies and failures of ...
M. Humaun Kabir, Angelina Nguyen, Hong Liang   +2 more
wiley   +1 more source

Multi-disciplinary shape optimization of an entry capsule integrated with custom neural network approximation and multi-delity approach [PDF]

, 2011
This paper describes a new integrated approach for the multi-disciplinary optimization of a entry capsule’s shape. Aerothermodynamics, Flight Mechanics and Thermal Protection System behaviour of a reference spaceship when crossing Martian atmosphere are ...
Gallizio, Federico, Mareschi, Vincenzo, Davite, Alessio, Minisci, Edmondo, Chiarelli, Cosimo, Cavallero, Claudio, Sudars, Martins   +6 more
core  

Towards fairness-aware multi-objective optimization

Complex & Intelligent Systems
Recent years have seen the rapid development of fairness-aware machine learning in mitigating unfairness or discrimination in decision-making in a wide range of applications.
Guo Yu, Lianbo Ma, Xilu Wang, Wei Du, Wenli Du, Yaochu Jin   +5 more
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Assembly process planning using a multi-objective optimization method [PDF]

, 2007
Assembly process planning is a multi-objective optimization problem. Aiming to deal with such a complex multi-objective optimization problem, a new Pareto-based multi-objective evolutionary algorithm with fuzzy evaluating method is constructed in this ...
Qin YF(秦永法), Xu ZG(徐志刚)
core  

Extrusion‐Based Additive Manufacturing of Advanced Ceramics: Strengthening Mechanisms and Process Optimization Review

Advanced Engineering Materials, EarlyView.
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari, Mohammad Hadi Sheikh‐Ansari, Avinash Borgaonkar, Mehran Dadkhah, Abdollah Saboori   +4 more
wiley   +1 more source

Comparing Novel Multi-Objective Optimization Methodologies

Journal of Mechanical Engineering
Extracting bioactive compounds from botanicals is a pivotal undertaking within chemical sciences. This research undertakes a comparative analysis of three contemporary MCDM methodologies: IRPA, RAM, and DEPART.
Bui Thi Thu Trang, Do Duc Trung
doaj   +1 more source