AT‐AER: Adversarial Training With Adaptive Example Reuse
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Adversarial training (AT) is widely regarded as a crucial defense method for deep neural networks against adversarial attacks. Most of the existing AT methods suffer from the problems of insufficient coverage of perturbation space and robust overfitting.
Meng Hu +5 more
wiley +1 more source
An In-Depth Review on Sensing, Heat-Transfer Dynamics, and Predictive Modeling for Aircraft Wheel and Brake Systems. [PDF]
Sensors (Basel)Ramachandra LS +2 more
europepmc +1 more source
High Voltage, EarlyView.ABSTRACT The emergence of (ultra)wide bandgap ((U)WBG)‐based devices has significantly enhanced performance in high‐frequency switching applications, enabling breakthroughs in electric transportation, aerospace, and renewable energy systems. However, it also presents considerable challenges to insulation systems, such as electric motor winding ...
Easir Arafat +3 more
wiley +1 more source
Vision-Based Vehicle State and Behavior Analysis for Aircraft Stand Safety. [PDF]
Sensors (Basel)Tang K +5 more
europepmc +1 more source
Findings from interviews with pilots on spatial disorientation: training, temporal dynamics and countermeasures. [PDF]
Front PhysiolDixon JB, Clark TK, Endsley TC.
europepmc +1 more source
Consideration of aircraft noise annoyance during conceptual aircraft design
, 2016 This dissertation focuses on the ‘annoyance’ aspect of aircraft noise and how it could be minimized during early aircraft design. The annoyance in this case corresponds to the acoustic annoyance, which is directly related to the quality of an aircraft sound.
openaire +1 more source
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Emergent ecosystem properties, such as population and trait distributions, biodiversity and energy and water fluxes, occur because of the dynamic interactions of individuals in their environment.
Sarah J. Graves +8 more
wiley +1 more source
Parametric Optimization of VLM Panel Discretization Using Bio-Inspired Crayfish and Aquila Algorithms Coupled with Hybrid RSM-Based Ensemble Machine Learning Surrogate Models: A Case Study. [PDF]
Biomimetics (Basel)Eraslan Y, Şengün E.
europepmc +1 more source
Lobbying and Political Risk Disclosure: Do Socially Responsible Firms Voluntarily Disclose More?
British Journal of Management, EarlyView.Abstract Drawing on theories of strategic communication, legitimacy, impression management and moral capital, this study investigates whether firms use political risk disclosure to offset negative perceptions associated with corporate lobbying. Using a sample of 10,120 observations from 1362 US firms between 2002 and 2018, we find that firms with ...
Maretno A. Harjoto +4 more
wiley +1 more source
Fuel Effects on Aviation Engine Emissions: A Chemical Reactor Network Modeling Study. [PDF]
Energy FuelsLopez-Pintor D +6 more
europepmc +1 more source