|
|
|
|
|
Karinta Fakhira, Mismiwati, Fernando Africano, Riduwansah, Oki Sania Riski
Pág. 266 - 274
|
|
|
|
|
|
|
|
|
|
|
Guoyu Zhang, Ye Tian, Wenhan Yin and Change Zheng
The use of automation technology in agriculture has become particularly important as global agriculture is challenged by labor shortages and efficiency gains. The automated process for harvesting apples, an important agricultural product, relies on effic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruiqing Chen, Liang Sun, Zhongxin Chen, Deji Wuyun and Zheng Sun
The prompt and precise identification of corn and soybeans are essential for making informed decisions in agricultural production and ensuring food security. Nonetheless, conventional crop identification practices often occur after the completion of crop...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dafnis N. Coudounaris, Peter Björk, Tõnis Mets, Rustam Asadli and Andreea I. Bujac
Based on the trust/commitment theory and the customer-based brand equity theory, this study aims to ascertain which of the brand equity drivers of A. Le Coq beer have an impact on attachment and its overall brand equity in the Estonian brewery market. In...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pavlo Maruschak, Ihor Konovalenko, Yaroslav Osadtsa, Volodymyr Medvid, Oleksandr Shovkun, Denys Baran, Halyna Kozbur and Roman Mykhailyshyn
Modern neural networks have made great strides in recognising objects in images and are widely used in defect detection. However, the output of a neural network strongly depends on both the training dataset and the conditions under which the image was ac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Damian Valdés-Santiago, Angela M. León-Mecías, Marta Lourdes Baguer Díaz-Romañach, Antoni Jaume-i-Capó, Manuel González-Hidalgo and Jose Maria Buades Rubio
This contribution presents a wavelet-based algorithm to detect patterns in images. A two-dimensional extension of the DST-II is introduced to construct adapted wavelets using the equation of the tensor product corresponding to the diagonal coefficients i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yan Li, Huan Li, Wu Song and Chen Le
As an important research tool in neuroscience, event-related potential (ERP) technology enables in-depth analysis of the consumer?s product image cognition process and complements and verifies the product image cognition model at the ERP level. It provid...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dani Elias Mfungo, Xianping Fu, Xingyuan Wang and Yongjin Xian
In today?s digital age, it is crucial to secure the flow of information to protect data and information from being hacked during transmission or storage. To address this need, we present a new image encryption technique that combines the Kronecker xor pr...
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
|
|
|
|
|
|
|
|
|
|
|
Chengmin Zhou, Lansong Jiang and Jake Kaner
This study aims to integrate data-driven methodologies with user perception to establish a robust design paradigm. The study consists of five steps: (1) theoretical research?a review of the subject background and applications of Kansei engineering and gr...
ver más
|
|
|
|
|
|