Results 191 to 200 of about 314,466 (322)
Advanced Intelligent Systems, EarlyView.In summary, a self‐supervised end‐to‐end framework for OCT image despeckling is proposed, without access to unpaired noisy–clean images or paired noisy–noisy images for training. The despeckling performance has been evaluated on 150 subjects from five retina datasets (121 subjects) and one middle ear dataset (29 subjects). Optical coherence tomography (
Zhiyi Jiang +3 more
wiley +1 more source
Almost fixed point theorems for the Euclidean plane
, 1963 J. de Groot +2 more
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Reprogrammable, In‐Materia Matrix‐Vector Multiplication with Floppy Modes
Advanced Intelligent Systems, EarlyView.This article describes a metamaterial that mechanically computes matrix‐vector multiplications, one of the fundamental operations in artificial intelligence models. The matrix multiplication is encoded in floppy modes, near‐zero force deformations of soft matter systems.
Theophile Louvet +2 more
wiley +1 more source
The Pentafluorophenyl Cation: A Superelectrophile and Diradical
Angewandte Chemie, EarlyView.From radical to diradical cation. Photoionization (PI) of the thermally generated pentafluorophenyl radical yields the pentafluorophenyl cation in the gas phase. This cation is found to be a diradical with nearly degenerate open‐shell singlet and triplet ground states, and it is even more unstable than the parent phenyl cation by ∼40 kcal mol−1 ...
Enrique Mendez‐Vega +4 more
wiley +2 more sources
Proof of the Poincaré-Birkhoff fixed point theorem. [PDF]
, 1977 Marc B. Brown, Walter D. Neumann
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MO‐hHHO: Multi‐Objective Hybrid Harris Hawks Optimization for Prediction of Coronary Artery Disease
Advanced Intelligent Systems, EarlyView.This article proposes a novel Multi‐Objective hybrid Harris Hawks Optimization (MO‐hHHO) algorithm for simultaneous feature selection and hyperparameter tuning in heart disease classification. The approach leverages adaptive exploration‐exploitation strategies to enhance convergence efficiency.
Anu Ragavi Vijayaraj +1 more
wiley +1 more source
Kolmogorov–Arnold Network for Transistor Compact Modeling
Advanced Intelligent Systems, EarlyView.This work introduces Kolmogorov–Arnold network (KAN) for the transistor—an architecture that integrates interpretability with high precision in physics‐based function modeling. The results reveal that despite achieving superior prediction accuracy for critical figures of merit, KAN demonstrates unique inherent challenges for transistor modeling ...
Rodion Novkin, Hussam Amrouch
wiley +1 more source