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Partha Sarathi Paul, Anurag Dhungel, Maisha Sadia, Md Razuan Hossain and Md Sakib Hasan
This paper presents a general method, called ?self-parameterization?, for designing one-dimensional (1-D) chaotic maps that provide wider chaotic regions compared to existing 1-D maps. A wide chaotic region is a desirable property, as it helps to provide...
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Angeliki Bicaku, Maria Sapounaki, Athanasios Kakarountas and Sotiris K. Tasoulis
Throughout the last decades, neuromorphic circuits have incited the interest of scientists, as they are potentially a powerful tool for the treatment of neurological diseases. To this end, it is essential to consider the biological principles of the CNS ...
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Francesco Cosimi, Antonio Arena, Paolo Gai and Sergio Saponara
In this manuscript, we propose a configurable hardware device in order to build a coherent data log unit. We address the need for analyzing mixed-criticality systems, thus guaranteeing the best performances without introducing additional sources of inter...
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Fatima Zahra Guerrouj, Sergio Rodríguez Flórez, Mohamed Abouzahir, Abdelhafid El Ouardi and Mustapha Ramzi
Convolutional Neural Networks (CNNs) have been incredibly effective for object detection tasks. YOLOv4 is a state-of-the-art object detection algorithm designed for embedded systems. It is based on YOLOv3 and has improved accuracy, speed, and robustness....
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Ervin Galan-Uribe, Luis Morales-Velazquez and Roque Alfredo Osornio-Rios
Industrial processes involving manipulator robots require accurate positioning and orienting for high-quality results. Any decrease in positional accuracy can result in resource wastage. Machine learning methodologies have been proposed to analyze failur...
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