|
|
|
|
|
Anastasios Fanariotis, Theofanis Orphanoudakis and Vassilis Fotopoulos
Having as a main objective the exploration of power efficiency of microcontrollers running machine learning models, this manuscript contrasts the performance of two types of state-of-the-art microcontrollers, namely ESP32 with an LX6 core and ESP32-S3 wi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sergey Shchanikov, Ilya Bordanov, Alexey Kucherik, Evgeny Gryaznov and Alexey Mikhaylov
Arrays of memristive devices coupled with photosensors can be used for capturing and processing visual information, thereby realizing the concept of ?in-sensor computing?. This is a promising concept associated with the development of compact and low-pow...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cataldo Guaragnella, Agostino Giorgio and Maria Rizzi
Structures for the evaluation of fast Fourier transforms are important components in several signal-processing applications and communication systems. Their capabilities play a key role in the performance enhancement of the whole system in which they are...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vitali Czymmek, Carolin Köhn, Leif Ole Harders and Stephan Hussmann
The sustainable cultivation of organic vegetables and the associated problem of weed control has been a current research topic for some time. Despite this, the use of chemical and synthetic pesticides increases every year. This is to be solved with the h...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lucas Martin Wisniewski, Jean-Michel Bec, Guillaume Boguszewski and Abdoulaye Gamatié
The edge computing paradigm for Internet-of-Things brings computing closer to data sources, such as environmental sensors and cameras, using connected smart devices. Over the last few years, research in this area has been both interesting and timely. Typ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jennifer Hasler
Large-scale field-programmable analog arrays (FPAA) have the potential to handle machine inference and learning applications with significantly low energy requirements, potentially alleviating the high cost of these processes today, even in cloud-based s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aminu Musa, Mohammed Hassan, Mohamed Hamada and Farouq Aliyu
Recent advances in computing allows researchers to propose the automation of hydroponic systems to boost efficiency and reduce manpower demands, hence increasing agricultural produce and profit. A completely automated hydroponic system should be equipped...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marius Paraschiv, Ricardo Padrino, Paolo Casari, Eyal Bigal, Aviad Scheinin, Dan Tchernov and Antonio Fernández Anta
The automatic classification of fish species appearing in images and videos from underwater cameras is a challenging task, albeit one with a large potential impact in environment conservation, marine fauna health assessment, and fishing policy. Deep neur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Iouliia Skliarova
This paper proposes a Field-Programmable Gate Array (FPGA)-based hardware accelerator for assisting the embedded MicroBlaze soft-core processor in calculating population count. The population count is frequently required to be executed in cyber-physical ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Salvatore Tedesco, Davide Alfieri, Eduardo Perez-Valero, Dimitrios-Sokratis Komaris, Luke Jordan, Marco Belcastro, John Barton, Liam Hennessy and Brendan O?Flynn
Athletic performance, technique assessment, and injury prevention are all important aspects in sports for both professional and amateur athletes. Wearable technology is attracting the research community?s interest because of its capability to provide rea...
ver más
|
|
|
|
|
|