Results 21 to 30 of about 253,519 (319)
VISSIM Based Traffic Flow Simulation Analysis on Road Network [PDF]
E3S Web of ConferencesThe urban transport system is a heterogeneous system and is in serious trouble. Traffic congestion has become a major socio-economic problem in both urban and rural areas.
Prakash Akula +4 more
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Expert Systems with Applications, 2011 In this paper, a new machine learning solution for function approximation is presented. It combines many simple and relatively inaccurate estimators to achieve high accuracy. It creates - in incremental manner - hierarchical, tree-like structure, adapting it to the specific problem being solved.
Brodowski, Stanisław, Podolak, Igor
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Minimax boundary estimation and estimation with boundary
Bernoulli, 2023 We derive non-asymptotic minimax bounds for the Hausdorff estimation of $d$-dimensional submanifolds $M \subset \mathbb{R}^D$ with (possibly) non-empty boundary $\partial M$. The model reunites and extends the most prevalent $\mathcal{C}^2$-type set estimation models: manifolds without boundary, and full-dimensional domains.
Aamari, Eddie +2 more
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SDR Verification of Hierarchical Decision Aided 2-Source BPSK H-MAC CSE with Feed-Back Gradient Solver for WPNC Networks [PDF]
Radioengineering, 2020 This paper considers a channel state estimation (CSE) problem in a parametrized Hierarchical MAC (H-MAC) stage in Wireless Physical Layer Network Coding (WPNC) networks with Hierarchical Decode and Forward (HDF) relay strategy.
P. Hron, J. Lukac, J. Sykora
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Amplitude estimation without phase estimation [PDF]
Quantum Information Processing, 2020 AbstractThis paper focuses on the quantum amplitude estimation algorithm, which is a core subroutine in quantum computation for various applications. The conventional approach for amplitude estimation is to use the phase estimation algorithm, which consists of many controlled amplification operations followed by a quantum Fourier transform.
Yohichi Suzuki +5 more
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A Consistent Estimator of Nontrivial Stationary Solutions of Dynamic Neural Fields
Stats, 2021 Dynamics of neural fields are tools used in neurosciences to understand the activities generated by large ensembles of neurons. They are also used in networks analysis and neuroinformatics in particular to model a continuum of neural networks.
Eddy Kwessi
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A Survey on Vision Navigation Methods for UAV Navigation Applications [PDF]
فصلنامه علوم و فناوری فضایی, 2017 Inertial navigation system error increases due to sensor errors with the increase intime. Usually, to prevent the growth of navigation system error, inertial navigationsystems are integrated with sensors or auxiliary systems. The importantly aided system
Masoud Ebrahimi Kachoie +2 more
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An Artificial Neural Network for the Low-Cost Prediction of Soot Emissions
Energies, 2020 Soot formation in combustion systems is a growing concern due to its adverse environmental and health effects. It is considered to be a tremendously complicated phenomenon which includes multiphase flow, thermodynamics, heat transfer, chemical kinetics ...
Mehdi Jadidi +3 more
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FACETS, 2016 This paper presents the characteristic behavior of direct vector control of two induction motors with sensorless speed feedback having the same rating parameters, paralleled combination, and supplied from a single current-controlled pulse-width-modulated
R. Gunabalan +5 more
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Recursive trimmed filter in eliminating high density impulse noise from digital image
Desimal, 2023 Advances in technology have made it easier to share media over the Internet. In the process of media sharing, a media may receive noise or interference that results in loss of information.
Ilyasa Pahlevi Reza Yulianto +2 more
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