Results 101 to 110 of about 149,415 (266)

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

Superlubricity and Corrosion Inhibition Properties of Solvate Ionic Liquids in Hybrid Carbon Fiber Reinforced Plastic–Steel Interfaces

Advanced Engineering Materials, EarlyView.
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees, Timothy Harte, Bhagya Dharmasiri, Y. Athulya Wickramasingha, David J. Hayne, Daniel J. Eyckens, Luke C. Henderson   +6 more
wiley   +1 more source

PATSMA: Parameter Auto-tuning for Shared Memory Algorithms

SoftwareX
Programs with high levels of complexity often face challenges in adjusting execution parameters, particularly when the ideal value for these parameters may change based on the execution context. These dynamic parameters significantly impact the program’s
Joao B. Fernandes, Felipe H. Santos-da-Silva, Tiago Barros, Italo A.S. Assis, Samuel Xavier-de-Souza   +4 more
doaj   +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

Model‐Guided Design of Paper Membrane Architectures for Controlled Flow and Enhanced Diagnostic Sensitivity

Advanced Engineering Materials, EarlyView.
Geometrical modifications on nitrocellulose membranes can result in observable differences in signal intensity relative to a reference membrane (top and bottom left). Using two reference experiments, we have developed a theoretical model that can reproduce the experimentally observed flow changes and provide information on membrane parameters, e.g ...
Maria Dimaki, Lea Holritz, Winnie E. Svendsen   +2 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

Enhanced Ultrasound Transmission Through Aberration Layers Using Space‐Coiling Acoustic Metamaterials

Advanced Engineering Materials, EarlyView.
Enhancing ultrasound transmission through an aberration layer exhibiting mismatched impedance with the surrounding medium possesses great implications in imaging and treatment. In this study, we show that a space‐coiling acoustic metamaterial with judiciously tailored structural profile can help improve impedance matching.
Maral Ghanami, Hengzhe Ren, Erqian Dong, Ashkan Ghanbarzadeh‐Dagheyan, Chen Shen   +4 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

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source

Parameter Prediction for Metaheuristic Algorithms Solving Routing Problem Instances Using Machine Learning

Applied Sciences
Setting parameter values is crucial for the performance of metaheuristics. Tuning the parameters of a metaheuristic is a computationally costly task. Moreover, parameter tuning is difficult considering their inherent stochasticity and problem instance ...
Tomás Barros-Everett, Elizabeth Montero, Nicolás Rojas-Morales   +2 more
doaj   +1 more source