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Rui P. R. Nogueira, Rui Melicio, Duarte Valério and Luís F. F. M. Santos
This paper proposes a model capable of predicting fatal occurrences in aviation events such as accidents and incidents, using as inputs the human factors that contributed to each incident, together with information about the flight. This is important bec...
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Andrea Maternová, Matú? Materna, Andrej Dávid, Adam Török and Lucia ?vábová
The main objective of this paper is to underscore the significance of human error as a dominant cause of maritime accidents. The research is based on a comprehensive analysis of 247 maritime accidents, with the aim being to identify human failures occurr...
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Beenish Moalla Chaudhry, Shekufeh Shafeie and Mona Mohamed
Theoretical models play a vital role in understanding the barriers and facilitators for the acceptance or rejection of emerging technologies. We conducted a narrative review of theoretical models predicting acceptance and adoption of human enhancement em...
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Rytis Maskeliunas, Audrius Kulikajevas, Robertas Dama?evicius, Julius Gri?kevicius and Au?ra Adomaviciene
The research introduces a unique deep-learning-based technique for remote rehabilitative analysis of image-captured human movements and postures. We present a ploninomial Pareto-optimized deep-learning architecture for processing inverse kinematics for s...
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Mohamed Gad, Aissam Gaagai, Mohamed Hamdy Eid, Péter Szucs, Hend Hussein, Osama Elsherbiny, Salah Elsayed, Moataz M. Khalifa, Farahat S. Moghanm, Moustapha E. Moustapha, Dina A. Tolan and Hekmat Ibrahim
The assessment and prediction of water quality are important aspects of water resource management. Therefore, the groundwater (GW) quality of the Nubian Sandstone Aquifer (NSSA) in El Kharga Oasis was evaluated using indexing approaches, such as the drin...
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