AIMC Topic: Consensus
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Performance assessment of ontology matching systems for FAIR data.
Journal of biomedical semantics
Jul 15, 2022
BACKGROUND: Ontology matching should contribute to the interoperability aspect of FAIR data (Findable, Accessible, Interoperable, and Reusable). Multiple data sources can use different ontologies for annotating their data and, thus, creating the need...
Distributed Quantized Feedback Design Strategy for Adaptive Consensus Tracking of Uncertain Strict-Feedback Nonlinear Multiagent Systems With State Quantizers.
IEEE transactions on cybernetics
Jul 4, 2022
This study investigates a quantized feedback design problem for distributed adaptive leader-following consensus of uncertain strict-feedback nonlinear multiagent systems with state quantizers. It is assumed that all system nonlinearities of followers...
Resilient Delayed Impulsive Control for Consensus of Multiagent Networks Subject to Malicious Agents.
IEEE transactions on cybernetics
Jul 4, 2022
Impulsive control is widely applied to achieve the consensus of multiagent networks (MANs). It is noticed that malicious agents may have adverse effects on the global behaviors, which, however, are not taken into account in the literature. In this st...
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.
Nature medicine
May 18, 2022
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico evaluation, but few have yet demonstrated real benefit to patient care. Early-stage clinical evaluati...
Artificial Intelligence Methods and Artificial Intelligence-Enabled Metrics for Surgical Education: A Multidisciplinary Consensus.
Journal of the American College of Surgeons
May 11, 2022
BACKGROUND: Artificial intelligence (AI) methods and AI-enabled metrics hold tremendous potential to advance surgical education. Our objective was to generate consensus guidance on specific needs for AI methods and AI-enabled metrics for surgical edu...
DACFL: Dynamic Average Consensus-Based Federated Learning in Decentralized Sensors Network.
Sensors (Basel, Switzerland)
Apr 26, 2022
Federated Learning (FL) is a privacy-preserving way to utilize the sensitive data generated by smart sensors of user devices, where a central parameter server (PS) coordinates multiple user devices to train a global model. However, relying on central...
Artificial Intelligence and Surgery: Ethical Dilemmas and Open Issues.
Journal of the American College of Surgeons
Apr 21, 2022
BACKGROUND: Artificial intelligence (AI) applications aiming to support surgical decision-making processes are generating novel threats to ethical surgical care. To understand and address these threats, we summarize the main ethical issues that may a...
Distributed Adaptive Consensus of Nonlinear Heterogeneous Agents With Delayed and Sampled Neighbor Measurements.
IEEE transactions on cybernetics
Apr 5, 2022
In this article, the adaptive output consensus problem of high-order nonlinear heterogeneous agents is addressed using only delayed, sampled neighbor output measurements. A class of auxiliary variables is introduced which are n -times differentiable ...
Artificial Intelligence in Surgical Education: Consensus Has Been Reached, What's Next?
Journal of the American College of Surgeons
Apr 4, 2022
Contextual and Cultural Perspectives on Neurorights: Reflections Toward an International Consensus.
AJOB neuroscience
Mar 27, 2022
The development and use of advanced and innovative neuroscience, neurotechnology and some forms of artificial intelligence have exposed potential threats to the human condition, including human rights. As a result, reconceptualizing or creating human...
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