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Quantum inspired qubit qutrit neural networks for real time financial forecasting. [PDF]
Bakshi K, Srinivasan K.
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Vapor-liquid equilibrium of water-hydrogen mixtures: A review of experimental data and modeling with a Cubic-Plus-Association Equation-of-State. [PDF]
Moortgat J.
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Compact and Interpretable Neural Networks Using Lehmer Activation Units. [PDF]
Ataei M, Forouzi S, Wang X.
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Discovering neural elastoplasticity from kinematic observations. [PDF]
Gavris GB, Sun W.
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YOLOv8-BCD: a real-time deep learning framework for pulmonary nodule detection in computed tomography imaging. [PDF]
Zhu W, Wang X, Xing J, Xu XS, Yuan M.
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Parameterized Random Complexity
Theory of Computing Systems, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Müller, Moritz, Montoya, Juan Andres
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PARAMETERIZED COMPLEXITY THEORY
2006AbstractThis chapter offers a closer look at parameterized computational complexity theory. Central concepts in this context are parameterized problems, parameterized reducibility, parameterized complexity classes, W[1], complete problems, and W[1]-hardness proofs.
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Distributed Parameterization of Complex Terrain
Surveys in Geophysics, 1991This paper addresses the incorporation of high resolution topography, soils and vegetation information into the simulation of land surface processes in atmospheric circulation models (ACM). Recent work has concentrated on detailed representation of one-dimensional exchange processes, implicitly assuming surface homogeneity over the atmospheric grid ...
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Parameterized power domination complexity
Information Processing Letters, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kneis, Joachim +3 more
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Parameterized Complexity Theory
2019In Chapt. 2, we went over some of the central notions and results from the theory of classical complexity, that play a role in this thesis. In this chapter, we will give a similar overview of the area of parameterized complexity theory.
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