Results 41 to 50 of about 1,686,690 (280)

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Review of Manufacturing Intelligence.

AI Mag., 1990
"Manufacturing Intelligence (Addison Wesley, Reading, Massachusetts, 1988, 352 pages, $43.25, ISBN 0-201-13576-0) by Paul Kenneth Wright and David Alan Bourne develops principles for the design of intelligent machine tools.
openaire   +2 more sources

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Dynamic Modeling and Simulation Analysis of an Arm Rehabilitation Robot With Mobile Platform

Applied Bionics and Biomechanics
In response to the ever-increasing demand of upper limb rehabilitation training and function improvement, a novel arm rehabilitation robot with mobile platform, which can move on the table, is designed to facilitate the upper limbs strength training via ...
Tao Gong, Yuanyuan Lin, Yufeng Wang, Wenbin Wang, Wei Chen, Jiancheng (Charles) Ji   +5 more
doaj   +1 more source

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

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

Integer linear programming formulation of the vehicle positioning problem in automated manufacturing systems [PDF]

, 2011
8 páginasThis paper addresses the problem of vehicle location (positioning) for automated transport in fully automated manufacturing systems. This study is motivated by the complexity of vehicle control found in modern integrated circuit semiconductor ...
Montoya Torres, Jairo R., Oñate Bello, Gonzalo   +1 more
core   +1 more source

Optimizing Metro Passenger Flow Prediction: Integrating Machine Learning and Time-Series Analysis with Multimodal Data Fusion

IET Circuits, Devices and Systems
Accurate passenger flow forecasting is crucial in urban areas with growing transit demand. In this paper, we propose a method that combines advanced machine learning with rigorous time series analysis to improve prediction accuracy by integrating ...
Li Wan, Wenzhi Cheng, Jie Yang
doaj   +1 more source

Emotion Recognition and Dynamic Functional Connectivity Analysis Based on EEG

IEEE Access, 2019
Although emotion recognition techniques have been well developed, the understanding of the neural mechanism remains rudimentary. The traditional static network approach cannot reflect the entire brain activity at the time scale.
Xucheng Liu, Ting Li, Cong Tang, Tao Xu, Peng Chen, Anastasios Bezerianos, Hongtao Wang   +6 more
doaj   +1 more source

Finger Vein Verification Algorithm Based on Fully Convolutional Neural Network and Conditional Random Field

IEEE Access, 2020
Owing to the complexity of finger vein patterns in shape and spatial dependence, the existing methods suffer from an inability to obtain accurate and stable finger vein features.
Junying Zeng, Fan Wang, Jianxiang Deng, Chuanbo Qin, Yikui Zhai, Junying Gan, Vincenzo Piuri   +6 more
doaj   +1 more source