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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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Bimo Sunarfri Hantono, Syukron Abu Ishaq Alfarozi, Azkario Rizky Pratama, Ahmad Ataka Awwalur Rizqi, I Wayan Mustika, Mardhani Riasetiawan and Anna Maria Sri Asih
Counterfeit products have become a pervasive problem in the global marketplace, necessitating effective strategies to protect both consumers and brands. This study examines the role of cybersecurity in addressing counterfeiting issues, specifically focus...
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Munir Ahmad, Sagheer Abbas, Areej Fatima, Ghassan F. Issa, Taher M. Ghazal and Muhammad Adnan Khan
The importance of accurate livestock identification for the success of modern livestock industries cannot be overstated as it is essential for a variety of purposes, including the traceability of animals for food safety, disease control, the prevention o...
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Yulong Lu, Jialuo Tao, Chuanghua Cao, Hanlin Liu, Yang Liu and Zhengbin Ge
Leakage in the impervious layer of a domestic waste landfill seriously pollutes the soil and groundwater. Therefore, it is necessary to carry out rapid nondestructive leakage location detection. In this research, the electrical resistivity tomography (ER...
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Hao Ma, Jun Wang, Xin Sun and Wenxin Jin
In this paper, we propose a multi-beam integrated radar and communication scheme using phased-array antenna, in which the same LFM-BPSK integrated waveform is used for both the radar and the communication beams. In the integrated beam design, the radar b...
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