Results 31 to 40 of about 10,590 (247)
Excitations in strict 2-group higher gauge models of topological phases
Journal of High Energy Physics, 2020 We consider an exactly solvable model for topological phases in (3+1) d whose input data is a strict 2-group. This model, which has a higher gauge theory interpretation, provides a lattice Hamiltonian realisation of the Yetter homotopy 2-type topological
Alex Bullivant, Clement Delcamp
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Applied Sciences, 2023 This manuscript proposes the possibility of concatenated signatures (instead of images) obtained from different integral transforms, such as Fourier, Mellin, and Hilbert, to classify skin lesions.
Esperanza Guerra-Rosas +4 more
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Steered coherence of a central two-qubit system coupled to an XY spin chain
Results in PhysicsWe investigate the average steered coherence (ASC) of a central two-qubit system coupled to an XY spin-chain environment. It is shown that there exists subspace in which the initial states are immune to this environment.
Xian-Zhe Duan, Ming-Liang Hu
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Complexity, 2021 In this paper, we propose an adaptive Gaussian incremental expectation stadium parameter estimation algorithm for sports video analysis and prediction through the study and analysis of sports videos.
Lizhi Geng
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Subspace Topologies in Central Extensions
Journal of Algebra, 2001 In 1993 \textit{P. H. Kropholler} and \textit{J. S. Wilson} constructed a countable torsion-free residually finite nilpotent group of class 2 and a finitely generated torsion-free residually finite centre-by-metabelian group, both of whose profinite completions contain an element of prime order [J. Pure Appl. Algebra 88, No.
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Complexity, 2017 We propose an expansion of multivariate time-series data into maximally independent source subspaces. The search is made among rotations of prewhitened data which maximize non-Gaussianity of candidate sources.
Carlos A. L. Pires, Abdel Hannachi
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Electronics Letters, 2021 Although the collaborative graph‐based discriminant analysis (CGDA) method has shown promising performance for the feature extraction of the hyperspectral image (HSI), both the intrinsic local subspace structures and spatial structural information are ...
Lei Pan
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New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
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Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
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