19 papers · ranked by Valyu relevance
Jaehyeong Kim, Sangjun Pyo, Hyerin Ahn, Ok Chan Jeong
Title: Graphical abstract
Zuzana Murčinková, Rudolf Holíček, Petr Baron, Martin Onufer + 1 more
'Chenggao Li'] This paper addresses the analysis of compressive stress limit values of plastic components with a thickness of no more than 3 mm used in bolted joints, especially in the automotive industry. The results of the compression tests show that the compressive stress limit values often exceed the tensile stress…
Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
Kernel two-sample testing provides a powerful framework for distinguishing any pair of distributions based on n sample points. However, existing kernel tests either run in n 2 time or sacrifice undue power to improve runtime. To address these shortcomings, we introduce Compress Then Test (CTT), a new framework for…
Chengyun Tao, Lin Dong, Wenbo Fan, Tianlai Yu + 1 more
Concrete, as an engineering material with extremely wide applications, is widely used in various infrastructure projects such as bridges, highways, and large buildings. However, structures such as highways and bridges often need to be situated in variable and harsh service environments for long periods. They not only…
Anthony El Kommos, Alicia R. Jackson, Fotios Andreopoulos, Francesco Travascio + 3 more
'Francesco Travascio' 'Filippo Rossi' 'Benjamin Gantenbein' 'Mohammad Jafar Abdekhodaie'] The development of cell-based biomaterial alternatives holds significant promise in tissue engineering applications, but it requires accurate mechanical assessment. Herein, we present the development of a novel 3D-printed confined…
Yongshuai Sun, Guihe Wang, Yixuan Li, Francisco Agrela
To study the variation law of ultrasonic parameters of self-compacting concrete before and after damage under uniaxial compression test conditions, the C30 self-compacting concrete blocks stored for 7 days and 28 days were subjected to ultrasonic nondestructive testing, and the variation law of the sound time…
Cassio Ricardo Auada Ferringo, George Diggs, Daniel D Lewis, Scott A Banks
The objective of this study was to determine compressive loads that could be generated using a tibial plateau leveling osteotomy (TPLO) jig with a tensioned strand of 18-gauge stainless steel orthopedic wire in a simulated transverse fracture model. The wire was sequentially tensioned using heavy needle holders or an…
Yongqiang Tian, Wuqi Zhang, Ming Wen, Shing-Chi Cheung + 3 more
Deep Neural Network Authors: ['Yongqiang Tian' 'Wuqi Zhang' 'Ming Wen' 'Shing-Chi Cheung' 'C. P. Sun' 'Shiqing Ma' 'Yu Jiang'] Model compression can significantly reduce the sizes of deep neural network (DNN) models, and thus facilitates the dissemination of sophisticated, sizable DNN models, especially for their…
Miaoshan Lu, Junjie Tong, Ruimin Wang, Shaowei An + 2 more
Mass spectrum (MS) data volumes increase with an improved ion acquisition ratio and a highly accurate mass spectrometer. However, the most widely used data format, mzML, does not take advantage of compression methods and improved read performances. Several compression algorithms have been proposed in recent years, and…
Peng Sun, Xiaoqiong Zhang, Yinghou Jiao, Rongqiang Liu + 2 more
'Davide Palumbo'] A novel honeycomb with gradient-thickness cell walls (HGTCWs) is fabricated through chemical etching to achieve progressive thickness reduction in the cell walls. This engineered honeycomb demonstrates superior energy absorption by effectively eliminating the peak load during the linear elastic stage…
Mohammed Hlayel, Hairulnizam Mahdin, Mohammad Hayajneh, Saleh H. AlDaajeh + 3 more
'Saleh H. AlDaajeh' 'Siti Salwani Yaacob' 'Mazidah Mat Rejab' 'Shahid Rahman'] The rapid development of Digital Twin (DT) technology has underlined challenges in resource-constrained mobile devices, especially in the application of extended realities (XR), which includes Augmented Reality (AR) and Virtual Reality (VR).…
André Ribeiro, Rúben Garrido, Violeta Ramos, António Alberto + 27 more
Lossless data compression remains central to computer science, with direct impact on storage, communication bandwidth, computational cost, and energy consumption. It is also closely related to Algorithmic Information Theory, where compressibility provides an operational measure of structure and non-randomness. This…
Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
Training Sets Authors: ['Robert Underwood' 'Jon C. Calhoun' 'Sheng Di' 'Franck Cappello'] Abstract—Machine Learning and Artificial Intelligence (ML/AI) techniques have become increasingly prevalent in high performance computing (HPC). However, these methods depend on vast volumes of floating point data for training and…
Clément L. Canonne, Joy Qiping Yang
We consider the question of distribution testing (specifically, uniformity and closeness testing) in the streaming setting, i.e., under stringent memory constraints. We improve on the results of Diakonikolas, Gouleakis, Kane, and Rao (2019) by providing considerably simpler algorithms, which remove some restrictions on…
Authors not listed
This work focuses on a novel human-centered digital assistant combining Mixed Reality (MR), Computer Vision and Machine Learning regression to guide professionals and students on how to operate and correctly parameterize battery manufacturing machinery. Our Concept article aim is to provide a proof of concept of our…
B. M. Unikewicz, A. M. Pincot, Tal Cohen
Properties Authors: ['B. M. Unikewicz' 'A. M. Pincot' 'Tal Cohen'] Soft material research has seen significant growth in recent years, with emerging applications in robotics, electronics, and healthcare diagnostics where understanding material mechanical response is crucial for precision design. Traditional methods for…
Julia Gasol-Cardona, Martin Ward, Olof Gutowski, Jakub Drnec + 6 more
X-ray Diffraction Computed Tomography (XRD-CT) represents a cutting-edge method for non-destructive material analysis, offering the unique capability of providing molecular-level information with spatial resolution. In this study, we have applied XRD-CT to investigate pharmaceutically relevant tablets that have been…
Rashen Lou Omongos, Diego Galvez-Aranda, Franco Zanotto, Andras Vernes + 1 more
The gas diffusion layer (GDL) is a vital component within PEMFCs, playing a crucial role in mass and heat transport. Enhancing the microstructure of the GDL directly improves transport properties, thereby leading to more efficient and durable PEMFCs. In this study, we developed a novel machine learning methodology to…
Laura Smith, Paul Jones
Force plate testing is commonly used to assess athlete performance, however there is no research into the effect the surface underneath the force plate has on derived variables. The aim of this study was to investigate whether different surfaces underneath a force plate would elicit differences in derived force plate…