Results 121 to 130 of about 1,981,405 (253)

Welding Spark Detection on Construction Sites Using Contour Detection with Automatic Parameter Tuning and Deep-Learning-Based Filters. [PDF]

Sensors (Basel), 2023
Jin X, Ahn CR, Kim J, Park M.
europepmc   +1 more source

Parallel software auto-tuning using statistical modeling and machine learning

, 2018
Auto-tuning for complex and nontrivial parallel systems is usually time-consuming because of empirical evaluation of huge amount of combinations of parameter values of an initial parallel program in a target execution environment. This paper proposes the
Ivanenko, P.A., Novak, O.S., Doroshenko, А.Yu., Yatsenko, O.A.   +3 more
core  

Controlling Grain Growth in Powder Bed Fusion of Yttria‐Stabilized Zirconia Using Femtosecond Lasers: Challenges and Methodological Insights

Advanced Engineering Materials, EarlyView.
Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn, Sarah Kaden, Andrea Barz, Daniel Störzner, Jens Bliedtner, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Development of an Online Adaptive Parameter Tuning vSLAM Algorithm for UAVs in GPS-Denied Environments. [PDF]

Sensors (Basel), 2022
Chen CL, He R, Peng CC.
europepmc   +1 more source

Bioinspired parameter tuning of classifiers

, 2009
Aprendizado de máquina é uma área de pesquisa na qual se investiga como desenvolver sistemas capazes de aprender com a experiência. Muitos algoritmos de aprendizado possuem parâmetros cujos valores devem ser especificados pelo usuário.
André Luis Debiaso Rossi, Rossi, André Luis Debiaso   +1 more
core   +1 more source

Design of a Multistable Finger Prosthesis with Programmable Metamaterials

Advanced Engineering Materials, EarlyView.
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz, Jannik Krohn, Alexander Leichner, Dilip Chalissery, Heiko Andrae, Chris Eberl   +5 more
wiley   +1 more source

Hyper-parameter tuning and feature extraction for asynchronous action detection from sub-thalamic nucleus local field potentials. [PDF]

Front Hum Neurosci, 2023
Martineau T, He S, Vaidyanathan R, Tan H.   +3 more
europepmc   +1 more source

Correlational parameter tuning by genetic meta-algorithm [PDF]

, 2000
The general problem of an off-line parameter tuning in the Binary Genetic Algorithm (BGA) is introduced. An example of such a tuning: a class of Correlational Tuning Methods (CTMs) is proposed.
Kosiński, W., Kieś, P.
core  

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Stability analysis based parameter tuning of Social Group Optimization. [PDF]

Complex Intell Systems, 2022
Jena JJ, Dash SCB, Satapathy SC.
europepmc   +1 more source