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Suleiman Abu Kharmeh, Emad Natsheh, Batoul Sulaiman, Mohammad Abuabiah and Saed Tarapiah
Datasets used for artificial-neural-network and machine-learning applications play a vital role in the research and application of such techniques in solving real-life problems. The construction and availability of large datasets to be used in the off-li...
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Ulises Manuel Ramirez-Alcocer, Edgar Tello-Leal, Gerardo Romero and Bárbara A. Macías-Hernández
In this paper, we propose a deep learning-based approach to predict the next event in hospital organizational process models following the guidance of predictive process mining. This method provides value for the planning and allocating of resources sinc...
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Pawel Gryka and Artur Janicki
Many customers rely on online reviews to make an informed decision about purchasing products and services. Unfortunately, fake reviews, which can mislead customers, are increasingly common. Therefore, there is a growing need for effective methods of dete...
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Md Sazzad Hosen, Ashkan Pirooz, Theodoros Kalogiannis, Jiacheng He, Joeri Van Mierlo and Maitane Berecibar
The research outcome would serve as a guideline for developing the comprehensive battery pack lifetime model from cell-level validated models. The proposed framework can be adopted in the battery management system with the potential to enhance performanc...
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Rafal Mateusz Sobanski, Marta Drazkowska, Maciej Papis and Agata Stankiewicz
The aim of this work is to present an automatic solution to control the surveillance camera merely by the movements of the operator?s head. The method uses convolutional neural networks that work in a course-to-fine manner to estimate head orientation in...
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Georgios Amponis, Thomas Lagkas, Panagiotis Sarigiannidis, Vasileios Vitsas and Panagiotis Fouliras
With the development of more advanced and efficient control algorithms and communication architectures, UAVs and networks thereof (swarms) now find applications in nearly all possible environments and scenarios. There exist numerous schemes which accommo...
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Dries Naudts, Vasilis Maglogiannis, Seilendria Hadiwardoyo, Daniel van den Akker, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx, Bart Lannoo, Johann Marquez-Barja and Ingrid Moerman
In the upcoming decade and beyond, the Cooperative, Connected and Automated Mobility (CCAM) initiative will play a huge role in increasing road safety, traffic efficiency and comfort of driving in Europe. While several individual vehicular wireless commu...
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Mike Nkongolo, Jacobus Philippus van Deventer and Sydney Mambwe Kasongo
This research attempts to introduce the production methodology of an anomaly detection dataset using ten desirable requirements. Subsequently, the article presents the produced dataset named UGRansome, created with up-to-date and modern network traffic (...
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Antonina Aleksandrovna Chechina,Natalia Gennadievna Churbanova,Marina Aleksandrovna Trapeznikova
Pág. pp. 178 - 185
The paper deals with traffic flow modelling and simulation on supercomputer systems. The created mathematical model is based on cellular automata (CA) approach and allows to depict multilane traffic on various complex road configurations. The numerical a...
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Purnendu Mondal and Subramaniam Arunachalam
The comfort level of the human occupant inside a dynamic vehicle is dependent on the level of vibration generated inside the different segments of the human body. Some technologies have been developed to provide the final level of vibration inside an aut...
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