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81
A New Wavelet Method for Solving a Class of Nonlinear Volterra-Fredholm Integral Equations
Published 2014-01-01“…By incorporating such a modified wavelet approximation scheme into the conventional Galerkin method, the nonsingular property of the connection coefficients significantly reduces the computational complexity and achieves high precision in a very simple way. …”
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82
Target Positioning with GDOP Assisted Nodes Selection Algorithm in Wireless Sensor Networks
Published 2014-06-01“…Simulation results show that the GANS algorithm can effectively reduce the energy consumption of the system, while the positioning accuracy has no obvious loss. Meanwhile, computational complexity is also obviously decreased.…”
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83
A Heuristic Algorithm for Resource Allocation/Reallocation Problem
Published 2011-01-01“…This heuristic approach is tested for 33 benchmark problems taken from OR library of sizes upto 7000, and the results have been compared with optimum solutions. Computational complexity is proved to be 𝑂(𝑘𝑙𝑚𝑛2) of solving heuristically MMKP using this approach. …”
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84
Security Analysis of HMAC/NMAC by Using Fault Injection
Published 2013-01-01“…These attacks are applicable to HMAC/NMAC based on the MD-family hash functions and can recover the secret key with the negligible computational complexity. Particularly, these results on HMAC/NMAC-SHA-2 are the first known key recovery attacks so far.…”
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85
Review of Neurobiologically Based Mobile Robot Navigation System Research Performed Since 2000
Published 2016-01-01“…The main focus is to explore the functionality of the cognitive maps developed in these mobile robot systems with respect to route planning, as well as a discussion/analysis of the computational complexity required to scale these systems.…”
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86
Fast Analytic Sampling Approximation from Cauchy Kernel
Published 2016-01-01“…Based on the structure, a fast numerical algorithm is established to compute Bk(f). The computational complexity is given. A numerical experiment is carried out to check the efficiency of our algorithm.…”
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87
Complexity of Computation of Dominating Sets in Geo-Mathmetics Algorithm : A Review
Published 2021-02-01“…The dominant sets problem by testing whether γ (G) ≤ K of a given graph is G and K input; It is an electronic card NP machines decision problem in computational complexity theory. Infographics, powerful infographics plus graphic mapping. …”
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88
Pedestrian Motion Path Detection Method Based on Deep Learning and Foreground Detection
Published 2021-01-01“…Experimental results show that the proposed method not only improves the practical application of pedestrian rerecognition but also reduces the detection range, computational complexity, and false detection rate compared with sliding window method.…”
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89
Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems
Published 2012-09-01“…Computational complexities of these three decoders are also analyzed. …”
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90
Inverse Tone Mapping Based upon Retina Response
Published 2014-01-01“…Inspired by the property of the human visual system (HVS), this dynamic range expansion scheme performs with a low computational complexity and a limited number of parameters and obtains high-quality HDR results. …”
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91
Scheduling-Based Optimization for Motion Coordination of Autonomous Vehicles at Multilane Intersections
Published 2020-01-01“…A complete account of the computational complexity of the algorithm, parameterized by the configuration parameters of the problem, is provided. …”
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92
D3D-MDS: A Distributed 3D Localization Scheme for an Irregular Wireless Sensor Network Using Multidimensional Scaling
Published 2015-02-01“…This distributed localization scheme also demonstrates a low computational complexity compared with other centralized localization algorithms.…”
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93
Range-Free Localization Scheme in Wireless Sensor Networks Based on Bilateration
Published 2013-01-01“…Simulation results show that the proposed scheme outperforms the DV-Hop method in localization accuracy, communication cost, and computational complexity.…”
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94
Maximizing the Rate of IRS-Assisted Downlink NOMA Systems
Published 2022-01-01“…As for a multiuser scenario, the alternating optimization (AO) algorithm is raised based on transmit beamforming and reflection phase shift matrix to settle relevant issues and mitigate computational complexity. The simulation results suggest that the algorithm described in this paper can significantly increase the signal’s achievable rate compared to the nondeployed IRS and IRS random phase-shifting schemes.…”
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95
Sparse Array Angle Estimation Using Reduced-Dimension ESPRIT-MUSIC in MIMO Radar
Published 2013-01-01“…However, the proposed algorithm has high computational complexity due to the requirement of two-dimension search. …”
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96
Side Information Generation for Distributed Video Coding Using Spatiotemporal Joint Bilinear Upsampling
Published 2014-04-01“…Simulation results show that the proposed method improves the quality of side information significantly while keeping low computational complexity.…”
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97
Simple variable tap‐length algorithm for high‐noise environment
Published 2017-03-01“…Only at a slight cost of computational complexity, the proposed algorithm can achieve both small steady‐state fluctuation and fast‐convergence rate of the tap‐length under a high stochastic Gaussian noise condition (signal‐to‐noise ratio = 0 dB) or a deterministic impulsive noise condition.…”
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98
Effects of Quintessence Dark Energy on the Action Growth and Butterfly Velocity
Published 2020-01-01“…In this work we are about to investigate the effects of quintessence dark energy on evolution of the computational complexity relating to the AdS/CFT correspondence. …”
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99
Joint Power Allocation at the Base Station and the Relay for Untrusted Relay Cooperation OFDMA Network
Published 2015-01-01“…In addition, the convergence and computational complexity of the proposed algorithms are analyzed. …”
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100
Direction of Arrival Estimation Accuracy Enhancement via Using Displacement Invariance Technique
Published 2015-01-01“…It is worth mentioning that the subspace approach has been employed into ESPRIT and DIT methods to reduce the computational complexity and the model’s nonlinearity effect. …”
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