Results 171 to 180 of about 160,046 (357)
Applications of Laurent Expansions in Multivariable Control Systems
, 1981 Joos Vandewalle, J Staar
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Advanced Intelligent Systems, EarlyView.This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
wiley +1 more source
European multicentre study on outcome of surgery for sporadic primary hyperparathyroidism
BJS (British Journal of Surgery), EarlyView., 2020 Some 5861 patients undergoing first‐time surgery for sporadic primary hyperparathyroidism were registered in the Eurocrine® database between 2015 and 2018. The use of intraoperative parathyroid hormone measurement decreased the risk of conversion and persistent hypercalcaemia.
A. Bergenfelz +3 more
wiley +1 more source
Anchoring Morphological Representations Unlocks Latent Proprioception in Soft Robots
Advanced Intelligent Systems, EarlyView.The authors present ProSoRo, a proprioceptive soft robot that anchors morphological states to a single internal reference frame and employs a multimodal variational autoencoder for crossmodal inference, revealing latent proprioception that enables accurate force and shape estimation, interpretable morphing primitives, robust sim‐to‐real transfer, and ...
Xudong Han +4 more
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BJS (British Journal of Surgery), EarlyView., 2020 This study investigated postoperative complications after surgery for medullary thyroid carcinoma (MTC) in Europe. Hypoparathyroidism, recurrent laryngeal nerve palsy and bleeding requiring reoperation occurred in 170 (26·2 per cent), 62 (13·7 per cent) and 17 (2·6 per cent) patients respectively.
D.‐J. van Beek +18 more
wiley +1 more source
An Application of Multivariable Model Reference Adaptive Techniques to a Process Control System
, 1987 Katsunobu Konishi +3 more
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Advanced Intelligent Systems, EarlyView.A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
Novel multiagent reinforcement learning framework using twin delayed deep deterministic policy gradient for adaptive PID control in boiler turbine systems. [PDF]
Sci RepKruthika U, Paneerselvam S.
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