Results 81 to 90 of about 4,324 (256)

Nonlinear Receding‐Horizon Differential Game for Drone Racing Along a Three‐Dimensional Path

open access: yesInternational 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

open access: yesInternational 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

Evaluating the Role of Social Capital for the Design of Sustainable River Governance Strategies: The Case of Tagus River

open access: yesSustainable 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

From Patterns to Attractor‐Like Modes: A Systems Sensemaking Framework for Recurring Conflict in Healthcare Teams

open access: yesSystems 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

Moving target defense for adaptive adversaries

open access: yes2013 IEEE International Conference on Intelligence and Security Informatics, 2013
Machine learning (ML) plays a central role in the solution of many security problems, for example enabling malicious and innocent activities to be rapidly and accurately distinguished and appropriate actions to be taken. Unfortunately, a standard assumption in ML - that the training and test data are identically distributed - is typically violated in ...
Richard Colbaugh, Kristin Glass
openaire   +2 more sources

Investigating SME‐Inclusive Public‐Private AI Innovation Network: Evidence From U.S. Small Business Administration (1991–2023)

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley   +1 more source

Factors influencing the nature of client complaint behaviour in the aftermath of adverse events

open access: yesVeterinary Record, Volume 196, Issue 6, 15/22 March 2025.
Abstract Background Negative veterinary client complaint behaviour poses wellbeing and reputational risks. Adverse events are one source of complaint. Identifying factors that influence adverse event‐related complaint behaviour is key to mitigating detrimental consequences and harnessing information that can be used to improve service quality, patient ...
Julie Gibson   +3 more
wiley   +1 more source

Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating

open access: yesIEEE Access
Significant 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

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