|
|
|
|
|
Alper Taner, Mahtem Teweldemedhin Mengstu, Kemal Çagatay Selvi, Hüseyin Duran, Ibrahim Gür and Nicoleta Ungureanu
Having the advantages of speed, suitability and high accuracy, computer vision has been effectively utilized as a non-destructive approach to automatically recognize and classify fruits and vegetables, to meet the increased demand for food quality-sensin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fan Lin, Dengjie Chen, Cheng Liu and Jincheng He
This study pioneered a non-destructive testing approach to evaluating the physicochemical properties of golden passion fruit by developing a platform to analyze the fruit?s electrical characteristics. By using dielectric properties, the method accurately...
ver más
|
|
|
|
|
|
|
|
|
|
|
Giulia Grottesi, Guilherme B. A. Coelho and Dimitrios Kraniotis
In the world of cultural heritage, a wide range of artefacts and buildings are made of wood and, therefore, are subjected to moisture-induced stress and strain cycles, owing to environmental fluctuations. Simultaneous action of moisture and mechanical lo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eslam Mohammed Abdelkader, Tarek Zayed and Nour Faris
Defects are essential indicators to gauge the structural integrity and safety of reinforced concrete bridges. Non-destructive inspection has been pervasively explored over the last three decades to localize and characterize surface and subsurface anomali...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daniel Preston, Ahmed Ashour, Julian Wright, James Watts, Daniel Sanmartin and Jacques Wood
Creation of statistically significant reference sample sets for validation, optimization, and demonstration of non-destructive testing techniques, particularly for the additive manufacturing sector.
|
|
|
|
|
|
|
|
|
|
|
Abdul Momin, Naoshi Kondo, Dimas Firmanda Al Riza, Yuichi Ogawa and David Obenland
Currently, optical imaging techniques are extensively employed to automatically sort agricultural products based on various quality parameters such as size, shape, color, ripeness, sugar content, and acidity. This methodological review article examined d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liang Zhong, Xueyuan Chu, Jiawei Qian, Jianlong Li and Zhengguo Sun
With the rapid development of China?s industrialization and urbanization, the problem of heavy metal pollution in soil has become increasingly prominent, seriously threatening the safety of the ecosystem and human health. The development of hyperspectral...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mateusz Dziubek, Jacek Rysinski and Daniel Jancarczyk
Automated monitoring of cutting tool wear is of paramount importance in the manufacturing industry, as it directly impacts production efficiency and product quality. Traditional manual inspection methods are time-consuming and prone to human error, neces...
ver más
|
|
|
|
|
|
|
|
|
|
|
Boutros El Hajj, Bruno Castanier, Franck Schoefs and Emilio Bastidas-Arteaga
The objective of this paper is to propose tools for the lifecycle management of infrastructure by showing the slow degradation processes for which inspection data are accessible, especially the data obtained from non-destructive testing (NDT) and structu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amit Rotem, Alexander Vidal, Katharina Pfaff, Luis Tenorio, Matthias Chung, Erik Tharalson and Thomas Monecke
Understanding the mineralogy and geochemistry of the subsurface is key when assessing and exploring for mineral deposits. To achieve this goal, rapid acquisition and accurate interpretation of drill core data are essential. Hyperspectral shortwave infrar...
ver más
|
|
|
|
|
|