Results 121 to 130 of about 1,199,322 (345)

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

The psychology of driving automation: A discussion with Professor Don Norman [PDF]

, 2007
Introducing automation into automobiles had inevitable consequences for the driver and driving. Systems that automate longitudinal and lateral vehicle control may reduce the workload of the driver.
Stanton, Neville A, Young, Mark S., Young, Mark S, Stanton, Neville A., Walker, Guy H; id_orcid, Stanton, NA, Young, MS, Walker, GH, Walker, Guy H.   +8 more
core   +1 more source

High-Sensitivity Air-Coupled Ultrasonic Transducer Design Based on PMN-PT Bending Vibration Modes

Sensors
Gas pipelines are a critical means of transportation in industrial production. To detect gas pipeline leaks, ultrasonic transducers with specific center frequencies and high sensitivity are required.
Junwen Deng, Xingyu Chen, Yuliang Zhu, Xiaobo Wang, Tao Han, Chengtao Luo   +5 more
doaj   +1 more source

System Integration for Real-Time Mobile Manipulation

International Journal of Advanced Robotic Systems, 2014
Mobile manipulators are one of the most complicated types of mechatronics systems. The performance of these robots in performing complex manipulation tasks is highly correlated with the synchronization and integration of their low-level components.
Reza Oftadeh, Mohammad M. Aref, Reza Ghabcheloo, Jouni Mattila   +3 more
doaj   +1 more source

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

Intelligent process automation and its relevance to various industries [PDF]

Intelligent process automation represents a significant leap forward in the integration of artificial intelligence and robotic process automation to streamline and enhance various business operations.
Park, Jin Yong, Kandasamy, R., Thangam, D., Patil, Shashikala, K. A., Pavan, Chikkandar, R.   +5 more
core   +1 more source

A Deep Reinforcement Learning-Optimized Blood Flow Profile for Enhanced Oxygenation Efficiency in Membrane Oxygenators

Membranes
The membrane oxygenator serves as the core component of extracorporeal life support systems, and its gas exchange efficiency critically influences clinical outcomes. However, gas transfer is predominantly limited by the diffusion barrier within the blood-
Junwen Yu, Yuan Liu, Huaiyuan Guo, Qingyang Cheng, Junlong Meng, Ming Yang   +5 more
doaj   +1 more source

Black Swan Events and Intelligent Automation for Routine Safety Surveillance. [PDF]

Drug Saf, 2022
Kjoersvik O, Bate A.
europepmc   +1 more source

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

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