Treffer 241 - 260 von 1.131

241

Deep learning/Kalman filter-based underwater localization in VLC systems.
Salama, Wessam M. ; Aly, Moustafa H. ; Amer, Eman S.
Optical & Quantum Electronics. Feb2023, Vol. 55 Issue 2, p1-18. 18p.

DEEP learning OPTICAL communications PYTHON programming langu... KALMAN filtering GAMMA functions VISIBLE spectra
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242

A practical overview of image classification with variational tensor-network quantum circuits
Guala, Diego ; Zhang, Shaoming ; Cruz, Esther ; et al.

Quantum Physics
Report
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243

Rediscovering the Particle-in-a-Box: Machine Learning Regression Analysis for Hypothesis Generation in Physical Chemistry Lab
Thrall, Elizabeth S. ; Martinez Lopez, Fernando ; Egg, Thomas J. ; et al.
Journal of Chemical Education. 100(12):4933-4940

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244

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245

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246

Machine learning toolbox for quantum many body physics
Vicentini, Filippo
Nature Reviews Physics. 3(3):156-156

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247

The MolSSI QCArchive project: An open‐source platform to compute, organize, and share quantum chemistry data.
Smith, Daniel G. A. ; Altarawy, Doaa ; Burns, Lori A. ; et al.
WIREs: Computational Molecular Science; Mar/Apr2021, Vol. 11 Issue 2, p1-15, 15p

QUANTUM chemistry COMPUTING platforms PYTHON programming langu... COMPUTER programming QUANTUM computing WEB-based user interface...
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248

The Syntax and Semantics of einsum
Wenig, Maurice ; Rump, Paul G. ; Blacher, Mark ; et al.

Programming Languages Machine Learning Mathematical Software Symbolic Computation F.2.2; I.1.2; I.1.3
Report
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250

Semantic Holography: Coupling a Semantic Field to AdS₄/CFT₃
PSBigBig

Semantic field AdS/CFT holography entanglement entropy NLP embeddings quantum graviy
Report
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251

Building quantum applications with D-Wave's Leap: Get started coding on a quantum computer using D-Wave's Python-based Leap cloud service.
Alexander Condello ; Kompetenzzentrum für nicht-textuelle Materialien

Computer Science Studienbereich Informati... Ingenieurwissenschaften
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252

Quantum machine learning for jet tagging at LHCb
Davide Nicotra ; Davide Zuliani

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253

Machine learning the quantum flux-flux correlation function for catalytic surface reactions
Brenden G. Pelkie ; orcid:0000-0001-7638- ; Stephanie Valleau

reaction rate constants flux-flux correlation fu... gaussian process regress... catalysis machine learning kinetics
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254

Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology
Belliardo, Federico ; Zoratti, Fabio ; Marquardt, Florian ; et al.
Quantum 8, 1555 (2024)

Quantum Physics
Report
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255

Global properties of latent virus dynamics with B-cell impairment
Aatef Hobiny ; Ahmed M. Elaiw ; Ibrahim A. Abbas ; et al.
AIP Advances, Vol 9, Iss 9, Pp 095035-095035-15 (2019)

Epidemic Models QC1-999 Construct (python librar... Population Evolutionary biology Epistemology
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256

Recent developments in the PySCF program package.
Sun, Qiming ; Zhang, Xing ; Banerjee, Samragni ; et al.
Journal of Chemical Physics. 7/14/2020, Vol. 153 Issue 2, p1-20. 20p. 3 Diagrams, 11 Charts, 6 Graphs.

QUANTUM information scie... MATERIALS science TELEOLOGY ELECTRONIC structure MACHINE learning PYTHON programming langu...
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257

FPAI v2.3: A Quantum Probability Framework for Advancing Probabilistic Artificial Intelligence ; Force Francesco Probability Artificial Intelligence
Bulla, Francesco ; Ewelu, Stephanie ; Yalla, Satya Praveen Kumar Reddy ; et al.

FPAI quantum probability artificial intelligence quantum AI intellectual property AI protection
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258
259

Occam’s razor-based spam filter
Tiago A. Almeida ; Akebo Yamakami
Journal of Internet Services and Applications. 3:245-253

FOS: Computer and inform... Review Spam Artificial intelligence Construct (python librar... 02 engineering and techn... Quantum mechanics
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260

The MolSSI Driver Interface Project: A framework for standardized, on-the-fly interoperability between computational molecular sciences codes
Barnes, Taylor A. ; Marin-Rimoldi, Eliseo ; Ellis, Samuel ; et al.
In Computer Physics Communications April 2021 261

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