Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry
Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley +1 more source
The Reflexive Turn in Systems Engineering: A Disciplinary Response to Complexity
Systems Engineering, EarlyView.ABSTRACT The Future of Systems Engineering (FuSE) programme has called for the discipline to evolve as a transdiscipline capable of engaging complex eco‐socio‐technical challenges. Yet the pace of that evolution has been slower than the arguments for it would predict. This article examines why.
Raul Leal Ascencio
wiley +1 more source
Adversarial training and deep k-nearest neighbors improves adversarial defense of glaucoma severity detection. [PDF]
Heliyon, 2022 Riza Rizky LM, Suyanto S.
europepmc +1 more source
Active Defense Against Voice Conversion Through Generative Adversarial Network [PDF]
Active defense is an important approach to counter speech deepfakes that threaten individuals’ privacy, property, and reputation. However, the existing works in this field suffer from issues such as time-consuming and ordinary defense effectiveness. This
Zhao, Guoying +3 more
core +1 more source
Thunderbird 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
Enhancing Resilience Against Adversarial Attacks of Deep Neural Networks Using Efficient Two-Step Adversarial Defense [PDF]
, 2019 In recent years, deep neural networks have demonstrated outstanding performance in many machine learning tasks. However, researchers have discovered that these state-of-the-art models are vulnerable to adversarial examples: legitimate examples added by ...
Chang, Ting-Jui
core +1 more source
Research on adversarial attack and defense of photovoltaic power prediction
Dianzi Jishu YingyongDeep neural networks have been widely used in photovoltaic power prediction, but they are vulnerable to adversarial attacks. In order to improve the robustness of the prediction model, an adversarial attack algorithm based on fast gradient sign method ...
Zhou Wang
doaj +1 more source
Time-Constrained Adversarial Defense in IoT Edge Devices through Kernel Tensor Decomposition and Multi-DNN Scheduling. [PDF]
Sensors (Basel), 2022 Kim M, Joo S.
europepmc +1 more source
Factors influencing the nature of client complaint behaviour in the aftermath of adverse events
Veterinary 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
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks
, 2023 We examine whether symmetry can be used to defend tree-based ensemble classifiers such as gradient-boosting decision trees (GBDTs) against adversarial perturbation attacks.
Lindqvist, Blerta
core