Results 101 to 110 of about 274,225 (273)
Housing Value Forecasting Based on Machine Learning Methods
Abstract and Applied Analysis, 2014 In the era of big data, many urgent issues to tackle in all walks of life all can be solved via big data technique. Compared with the Internet, economy, industry, and aerospace fields, the application of big data in the area of architecture is ...
Jingyi Mu, Fang Wu, Aihua Zhang
doaj +1 more source
Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective
Advanced Electronic Materials, EarlyView.Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe +4 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Exceptional Antimodes in Multi‐Drive Cavity Magnonics
Advanced Electronic Materials, EarlyView.Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith +4 more
wiley +1 more source
Non‐volatile Sliding Ferroelectric Memory Effect in Ultrathin γ‐InSe
Advanced Electronic Materials, EarlyView.Room‐temperature sliding ferroelectricity in γ‐InSe enables a two‐dimensional FeFET with a 6.8 V memory window, above 104 conductance modulation, longer than 10‐years retention and above 103 cycles fatigue resistance. An ultrathin (4.8 nm) γ‐InSe ferroelectric tunnel junction exhibits reversible high/low resistance switching with TER of 105 at room ...
Yue Li +7 more
wiley +1 more source
Real time holography for higher spin theories
Journal of High Energy PhysicsReal time holography is studied in the context of the embedding space formalism. In the first part of this paper, we present matching conditions for on-shell integer spin fields when going from Euclidean to Lorentzian signature on AdS background.
Zezhuang Hao
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
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Spectra of quadratic vector fields on $\mathbb{C}^2$: The missing relation
, 2018 Consider a quadratic vector field on $\mathbb{C}^2$ having an invariant line at infinity and isolated singularities only. We define the extended spectra of singularities to be the collection of the spectra of the linearization matrices of each of the ...
Kudryashov, Yury, Ramírez, Valente
core
Projective duality of arrangements with quadratic logarithmic vector fields
Discrete Mathematics, 2016 11 pages, 1 ...
openaire +3 more sources
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source