Results 111 to 120 of about 7,737 (292)
Nonlinear Receding‐Horizon Differential Game for Drone Racing Along a Three‐Dimensional Path
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Drone racing requires high‐speed navigation through three‐dimensional paths, posing significant challenges in control engineering. Existing control methods lack a feedback control framework that simultaneously addresses nonlinear drone dynamics and multi‐agent competitive interactions, such as overtaking or obstructing opponents.
Kijin Sung +4 more
wiley +1 more source
Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel +2 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT This study examines the role of social capital in designing and implementing more effective governance strategies to improve the state of the Tagus River's significantly deteriorated middle reach (Spain). We employed social network analysis (SNA) to evaluate the bonding, bridging and linking social capital and the quality of stakeholder ...
Leticia Blázquez +2 more
wiley +1 more source
IEEE AccessSignificant advances have been made in recent years in improving the robustness of deep neural networks, particularly under adversarial machine learning scenarios where the data has been contaminated to fool networks into making undesirable predictions ...
Hossein Aboutalebi +3 more
doaj +1 more source
Adversarial Defense Method Based on Latent Representation Guidance for Remote Sensing Image Scene Classification. [PDF]
Entropy (Basel), 2023 Da Q +6 more
europepmc +1 more source
Internal Wasserstein Distance for Adversarial Attack and Defense
, 2023 Deep neural networks (DNNs) are known to be vulnerable to adversarial attacks that would trigger misclassification of DNNs but may be imperceptible to human perception.
Wang, Qicheng +5 more
core +1 more source
Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry
Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley +1 more source
Systems Research and Behavioral Science, EarlyView.ABSTRACT Recurring conflict in healthcare teams frequently persists despite well‐intended interventions (Page et al. 2024; Mazzei et al. 2024). Dynamic systems theory helps to map how such recurrences reflect systemic feedback loops linking individual experience, behaviour, shared beliefs and organisational structures, supporting intervention design at
Dominik Havsteen‐Franklin
wiley +1 more source
Dictionary Learning Based Scheme for Adversarial Defense in Continuous-Variable Quantum Key Distribution. [PDF]
Entropy (Basel), 2023 Li S +5 more
europepmc +1 more source
VectorDefense: Vectorization as a Defense to Adversarial Examples
CoRR, 2018 Training deep neural networks on images represented as grids of pixels has brought to light an interesting phenomenon known as adversarial examples. Inspired by how humans reconstruct abstract concepts, we attempt to codify the input bitmap image into a set of compact, interpretable elements to avoid being fooled by the adversarial structures.
Vishaal Munusamy Kabilan +2 more
openaire +2 more sources