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Bohdan Petryshyn, Serhii Postupaiev, Soufiane Ben Bari and Armantas Ostreika
The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. Specifically, optimising path completion times while navigating obstacles is ...
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Dorijan Radocaj, Ante ?iljeg, Rajko Marinovic and Mladen Juri?ic
Vegetation indices provide information for various precision-agriculture practices, by providing quantitative data about crop growth and health. To provide a concise and up-to-date review of vegetation indices in precision agriculture, this study focused...
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Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, Alexandre Serra, Leonardo Moura, Ana Margarida Ricardo, Luís Mendes and Rui M. L. Ferreira
Flood events are becoming more severe, causing significant problems to human communities, including physical, psychological, and material damage. For both flood forecasting in emergency response situations and flood mapping, georeferencing and data curat...
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Jules Degila, Ida Sèmévo Tognisse, Anne-Carole Honfoga, Sèton Calmette Ariane Houetohossou, Fréjus Ariel Kpedetin Sodedji, Hospice Gérard Gracias Avakoudjo, Souand Peace Gloria Tahi and Achille Ephrem Assogbadjo
This study focuses on agriculture, which is the main source of economic growth in many West African countries. In recent years, conventional agriculture has undergone a remarkable evolution and digital technologies are widely used for different purposes....
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Shishuo Xu, Jinbo Liu, Songnian Li, Su Yang and Fangning Li
Over the last decade, event prediction has drawn attention from both academic and industry communities, resulting in a substantial volume of scientific papers published in a wide range of journals by scholars from different countries and disciplines. How...
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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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Mihai Andronie, George Lazaroiu, Mariana Iatagan, Iulian Hurloiu, Roxana ?tefanescu, Adrian Dijmarescu and Irina Dijmarescu
The objective of this systematic review was to analyze the recently published literature on the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data management algorithms, deep learning-based object detection technologi...
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Nicoleta Darra, Evangelos Anastasiou, Olga Kriezi, Erato Lazarou, Dionissios Kalivas and Spyros Fountas
Going beyond previous work, this paper presents a systematic literature review that explores the deployment of satellites, drones, and ground-based sensors for yield prediction in agriculture. It covers multiple aspects of the topic, including crop types...
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Takuro Sone, Shin Kato, Ray Atarashi, Jin Nakazato, Manabu Tsukada and Hiroshi Esaki
In addition to traditional viewing media, metadata that record the physical space from multiple perspectives will become extremely important in realizing interactive applications such as Virtual Reality (VR) and Augmented Reality (AR). This paper propose...
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Jeban Chandir Moses, Sasan Adibi, Maia Angelova and Sheikh Mohammed Shariful Islam
Cardiovascular diseases (CVD) are the leading cause of mortality globally. Despite improvement in therapies, people with CVD lack support for monitoring and managing their condition at home and out of hospital settings. Smart Home Technologies have poten...
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