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Kevin Mallinger and Ricardo Baeza-Yates
The continuous fusion of artificial intelligence (AI) and autonomous farming machinery (e.g., drones and field robots) provides a significant shift in the daily work experience of farmers. Faced with new technological developments, many risks and opportu...
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Sunbin Yoo, Junya Kumagai, Yuta Kawabata, Alexander Ryota Keeley and Shunsuke Managi
This study investigates the impact of environmental concerns, concerns about potential accidents, and the perceived advantages of fully autonomous vehicles on individuals? willingness to buy and the perceived value of these vehicles. Our research, conduc...
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Thaiënne A. G. P. Van Dijk, Marc Roche, Xavier Lurton, Ridha Fezzani, Stephen M. Simmons, Sven Gastauer, Peer Fietzek, Chris Mesdag, Laurent Berger, Mark Klein Breteler and Dan R. Parsons
For health and impact studies of water systems, monitoring underwater environments is essential, for which multi-frequency single- and multibeam echosounders are commonly used state-of-the-art technologies. However, the current scarcity of sediment refer...
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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...
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Yingke Liao, Guiping Zhu, Guang Wang, Jie Wang and Yanchao Ding
Magnetohydrodynamic (MHD) is one of the most promising novel propulsion technologies with the advantages of no pollution, high specific impulse, and high acceleration efficiency. As the carrier of this technology, the MHD accelerator has enormous potenti...
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