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Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza and Fan Zhang
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFuseNe...
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Ana Pérez-Escoda, Andrés Barrios-Rubio, Luis Miguel Pedrero-Esteban and Carolina Ávalos
Today?s public sphere is increasingly shaped by a dynamic, global, cross-cutting digital landscape, mostly ruled by social media and algorithms. Individuals are the raw material, the product, in this digital scenario, insofar as they generate and create ...
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Ku Muhammad Naim Ku Khalif, Woo Chaw Seng, Alexander Gegov, Ahmad Syafadhli Abu Bakar and Nur Adibah Shahrul
Convolutional Neural Networks (CNNs) have garnered significant utilisation within automated image classification systems. CNNs possess the ability to leverage the spatial and temporal correlations inherent in a dataset. This study delves into the use of ...
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Hassan Aleisa, Konstantinos Kontis and Melike Nikbay
Developing wind tunnel models is time consuming, labor intensive, and expensive. Rapid prototyping for wind tunnel tests is an effective, faster, and cheaper method to obtain aerodynamic performance results while considerably reducing acquisition time an...
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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...
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Gabriella Monteiro, Leonardo Camelo, Gustavo Aquino, Rubens de A. Fernandes, Raimundo Gomes, André Printes, Israel Torné, Heitor Silva, Jozias Oliveira and Carlos Figueiredo
Recent advancements in Artificial Intelligence (AI), deep learning (DL), and computer vision have revolutionized various industrial processes through image classification and object detection. State-of-the-art Optical Character Recognition (OCR) and obje...
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Christopher M. Holmes, Joshua Pritsolas, Randall Pearson, Carolyn Butts-Wilmsmeyer and Thorsten Schad
In cultivated landscapes, grasslands are an important land use type for insect life. Grassland management practices can have a significant impact on insect ecology. For example, intense fertilization and frequent cutting can reduce the diversity and abun...
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José Victor Sá Santos and Napoleão Nepomuceno
The Cutting Stock Problem (CSP) is an optimisation problem that roughly consists of cutting large objects in order to produce small items. The computational effort for solving this problem is largely affected by the number of cutting patterns. In this ar...
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Yingjing Huang, Teng Fei, Mei-Po Kwan, Yuhao Kang, Jun Li, Yizhuo Li, Xiang Li and Meng Bian
In recent years, with the growing accessibility of abundant contextual emotion information, which is benefited by the numerous georeferenced user-generated content and the maturity of artificial intelligence (AI)-based emotional computing technics, the e...
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Svyatoslav Kravets,Vladimir Suponyev,Aleksej Goponov,Serhii Kovalevskyi,Andrii Koval
Pág. 23 - 28
The presented results of scientific research are aimed at increasing the efficiency of trenching for laying the utility lines using new less energy-consuming technologies of excavating the soil with the working equipment of multi-scraper excavators.The p...
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