|
|
|
|
|
Artem Marchenko, Rolands Kromanis and André G. Dorée
Temperature is the main driver of bridge response. It is continuously applied and may have complex distributions across the bridge. Daily temperature loads force bridges to undergo deformations that are larger than or equal to peak-to-peak traffic loads....
ver más
|
|
|
|
|
|
|
|
|
|
|
Ionut Dragos Moldovan, Abdalla Almukashfi and António Gomes Correia
The small strain shear modulus is an important characteristic of geomaterials that can be measured experimentally using piezoelectric sensors (bender elements). However, most conventional signal interpretation techniques are based on the visual observati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thaiënne A. G. P. Van Dijk, Marc Roche, Xavier Lurton, Ridha Fezzani, Stephen M. Simmons, Sven Gastauer, Peer Fietzek, Chris Mesdag, Laurent Berger, Mark Klein Breteler and Dan R. Parsons
For health and impact studies of water systems, monitoring underwater environments is essential, for which multi-frequency single- and multibeam echosounders are commonly used state-of-the-art technologies. However, the current scarcity of sediment refer...
ver más
|
|
|
|
|
|
|
|
|
|
|
Salvatore Savastano, Paula Gomes da Silva, Jara Martínez Sánchez, Arnau Garcia Tort, Andres Payo, Mark E. Pattle, Albert Garcia-Mondéjar, Yeray Castillo and Xavier Monteys
Coasts are continually changing and remote sensing from satellites has the potential to both map and monitor coastal change at multiple scales. Unlike optical technology, synthetic aperture radar (SAR) is uninfluenced by darkness, clouds, and rain, poten...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ahmed Sewify, Maria Antico, Marian Steffens, Jacqueline Roots, Ashish Gupta, Kenneth Cutbush, Peter Pivonka and Davide Fontanarosa
A protocol is proposed to acquire a tomographic ultrasound (US) scan of the musculoskeletal (MSK) anatomy in the rotator cuff region. Current clinical US imaging techniques are hindered by occlusions and a narrow field of view and require expert acquisit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gulsum Alicioglu and Bo Sun
Deep learning (DL) models have achieved state-of-the-art performance in many domains. The interpretation of their working mechanisms and decision-making process is essential because of their complex structure and black-box nature, especially for sensitiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sara M. Marcelino, Pedro Dinis Gaspar, Arminda do Paço, Tânia M. Lima, Ana Monteiro, José Carlos Franco, Erika S. Santos, Rebeca Campos and Carlos M. Lopes
Agriculture intensification has driven the loss of biodiversity at a global level. The implementation of strategies to conserve and promote biodiversity in agricultural areas can be favoured by adequate assessment methods that foster the awareness of dec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yusuke Hoshino and Takashi Hirao
Artificial intelligence (AI) has become popular worldwide after technological breakthroughs in the early 2010s. Accordingly, many organizations and individuals have been using AI for various applications. Previous research has been dominated by case stud...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bochen Duan, Shengping Wang, Changlong Luo and Zhigao Chen
In recent years, the surge in marine activities has increased the frequency of submarine pipeline failures. Detecting and identifying the buried conditions of submarine pipelines has become critical. Sub-bottom profilers (SBPs) are widely employed for pi...
ver más
|
|
|
|
|
|