Results 91 to 100 of about 4,313 (262)

Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry

Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley   +1 more source

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

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, Yin P, Zhou Z, Tang J, Huang D, Zhang L.   +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, Brandon Morris, Anh Nguyen 0002   +2 more
openaire   +2 more sources

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

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

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

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, Kate White, Liz Mossop, Marnie L. Brennan   +3 more
wiley   +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

Nanomedicine applications in lymphoma: Advancing precision diagnostics, targeted therapeutics, and prospective developments

VIEW, EarlyView.
Lymphoma is a group of blood cancers that can appear in lymph nodes, blood, bone marrow, spleen, liver, or the central nervous system, which makes drug delivery and disease monitoring difficult. This review summarizes how nanomedicine technologies may improve targeted treatment and imaging, while carefully separating approved or guideline‐supported ...
Mohd Ahmar Rauf, Yara Mashal, Afeefa Rao, Nasar Ata, Arun K. Iyer, Farhan Shah   +5 more
wiley   +1 more source

Research on adversarial attack and defense of photovoltaic power prediction

Dianzi Jishu Yingyong
Deep 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