Researchers combined an artificial neural network surrogate model with an enhanced NSGA-III algorithm to optimize a 20-tonne wave compensation Stewart platform, achieving major gains in dexterity, ...
Researchers have combined blockchain-based customer authentication with an ensemble of three machine learning classifiers to ...
This work presents an optimization framework for the design of a laminated composite aircraft fuselage aimed at maximizing its fundamental natural frequency to mitigate resonance-induced structural ...
The aim of Advanced Sensor Data Processing is to provide you with an understanding of various processing algorithms and methods that are applicable to modern sensor systems. Describe the principles, ...
Abstract: In the frequent occurrence of complex nonlinear problems, the traditional single algorithm gradually exposes the limitations of insufficient ability in finding an efficient solution. When ...
The fault diagnosis of the inverter is fundamental to energy intelligence. Due to the complex characteristics of the inverter (e.g., high-dimensional decision and poor stability), it is challenging to ...
Aside from some living tissues, few materials can autonomously learn to exhibit desired behaviors as a consequence of prolonged exposure to unanticipated ambient loading scenarios. Still fewer ...
For soccer managers, player selection lineups are a key process for better performance, both on financial and sports matters. However, to determine a quality solution to this problem it becomes more ...
Electroencephalography (EEG)-based driving fatigue detection has gained increasing attention recently due to the non-invasive, low-cost, and potable nature of the EEG technology, but it is still ...
Video recording is now ubiquitous in the study of animal behavior, but its analysis on a large scale is prohibited by the time and resources needed to manually process large volumes of data. We ...
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