An approach that combines NMR spectroscopy and inductively coupled plasma mass spectrometry (ICP-MS) and advanced tensor decomposition algorithms with state-of-the-art deep learning procedures was applied for the classification of Croatian continental sparkling wines by their geographical origin.It has been demonstrated that complex high-dimensiona
Partial Discharges in Electrical Machines for the More Electric Aircraft—Part I: A Comprehensive Modeling Tool for the Characterization of Electric Drives Based on Fast Switching Semiconductors
The arrival on the market of new power devices based on wide bandgap semiconductors has raised a relevant interest due to their superior properties compared to conventional technologies.On the other hand, these devices are inherently characterized by high rates of voltage changes over time, which may result in reliability challenges in electric dri
End-Cloud Collaboration Navigation Planning Method for Unmanned Aerial Vehicles Used in Small Areas
Unmanned aerial vehicle (UAV) collaboration has become the main means of indoor and outdoor regional search, railway patrol, and other tasks, and navigation planning is one of the key, albeit difficult, technologies.The purpose of UAV navigation planning is to plan reasonable trajectories for UAVs to avoid obstacles and reach the task area.Essentia
Validity of Adult Psychopathology Model Using Psychiatric Patient Sample from a Developing Country: Confirmatory Factor Analysis
Objectives.This study Chest is aimed at testing and validating the two-factor measurement model of the Millon Clinical Multiaxial Inventory (MCMI).Specifically, this paper reported construct validity, particularly focusing on convergent and discriminant validities of the internalizing-externalizing MCMI model of adult psychopathology using a psychi