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János Hollósi, Áron Ballagi and Claudiu Radu Pozna
Classifying digital images using neural networks is one of the most fundamental tasks within the field of artificial intelligence. For a long time, convolutional neural networks have proven to be the most efficient solution for processing visual data, su...
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Rajesh Natarajan, Gururaj Harinahallo Lokesh, Francesco Flammini, Anitha Premkumar, Vinoth Kumar Venkatesan and Shashi Kant Gupta
Background: The Internet of Medical Things, often known as IoMT, is a revolutionary method of connecting medical equipment and the software that operates on it to the computer networks that are used in healthcare 5.0. The rapid development of smart medic...
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Lingli Zhang, Chengming Luo, Xiyun Ge, Yuxin Cao, Haobo Zhang and Gaifang Xin
The efficient coverage of underwater wireless sensor networks (UWSNs) has become increasingly important because of the scarcity of underwater node resources. Complex underwater environments, water flow forces, and undulating seabed reduce the coverage ef...
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Yousra Bouleft and Ahmed Elhilali Alaoui
The rapid increase in urbanization results in an increase in the volume of municipal solid waste produced every day, causing overflow of the garbage cans and thus distorting the city?s appearance; for this and environmental reasons, smart cities involve ...
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Lili Tanti, Syahril Efendi, Maya Silvi Lydia and Herman Mawengkang
Disaster logistics management is vital in planning and organizing humanitarian assistance distribution. The planning problem faces challenges, such as coordinating the allocation and distribution of essential resources while considering the severity of t...
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