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Mattia D?Angelo and Loris Nanni
Object classification is a crucial task in deep learning, which involves the identification and categorization of objects in images or videos. Although humans can easily recognize common objects, such as cars, animals, or plants, performing this task on ...
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Mohammed Zakariah and Abdulaziz S. Almazyad
The prevalence of Internet of Things (IoT) technologies is on the rise, making the identification of anomalies in IoT systems crucial for ensuring their security and reliability. However, many existing approaches rely on static classifiers and immutable ...
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Xufei Yan, Ye Yuan and Renliang Chen
This paper studies the pilot control strategy and workload of a tilt-rotor aircraft dynamic conversion procedure between helicopter mode and fixed-wing mode. A nonlinear flight dynamics model of tilt-rotor aircraft with full flight modes is established. ...
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Alla Vinokhodova, Vadim Gushin, Polina Kuznetsova and Anna Yusupova
Detection of the extent of common values in a cohesive space crew has become an important trend in modern space psychology. It is known from the works of Ch. Osgood that the semantic differential scale is a reliable way to obtain objective information on...
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Anton Sysoev
The construction of a mathematical model of a complicated system is often associated with the evaluation of inputs? (arguments, factors) influence on the output (response), the identification of important relationships between the variables used, and red...
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