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André B. Peres, Mário C. Espada, Fernando J. Santos, Ricardo A. M. Robalo, Amândio A. P. Dias, Jesús Muñoz-Jiménez, Andrei Sancassani, Danilo A. Massini and Dalton M. Pessôa Filho
This paper presents a comparison of mathematical and cinematic motion analysis regarding the accuracy of the detection of alterations in the patterns of positional sequence during biceps-curl lifting exercise. Two different methods, one with and one with...
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Manjur Kolhar and Sultan Mesfer Aldossary
Deep learning (DL) algorithms can improve healthcare applications. DL has improved medical imaging diagnosis, therapy, and illness management. The use of deep learning algorithms on sensitive medical images presents privacy and data security problems. Im...
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Federico Ricci, Luca Petrucci, Francesco Mariani and Carlo Nazareno Grimaldi
The control of internal combustion engines is becoming increasingly challenging to the customer?s requirements for growing performance and ever-stringent emission regulations. Therefore, significant computational efforts are required to manage the large ...
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Eatedal Alabdulkreem, Jaber S. Alzahrani, Nadhem Nemri, Olayan Alharbi, Abdullah Mohamed, Radwa Marzouk and Anwer Mustafa Hilal
Presently, autonomous systems have gained considerable attention in several fields such as transportation, healthcare, autonomous driving, logistics, etc. It is highly needed to ensure the safe operations of the autonomous system before launching it to t...
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Michal Machura, Michal Danilowicz and Tomasz Kryjak
Object detection is an essential component of many systems used, for example, in advanced driver assistance systems (ADAS) or advanced video surveillance systems (AVSS). Currently, the highest detection accuracy is achieved by solutions using deep convol...
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