Fractional Mixed Weighted Convolution and Its Application in Convolution Integral Equations by Rongbo Wang, Qiang Feng

“…Based on the fractional mixed-weighted convolution and fractional cosine transform, two kinds of convolution integral equations are considered, the explicit solutions of fractional convolution integral equations are obtained, and the computational complexity of solutions are also analyzed.…”
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Efficient TTI for 3G Multimedia Applications by Costas Chaikalis

“…An efficient TTI choice can save computational complexity. However, different multimedia scenarios are investigated using the maximum UMTS frame length, and simulation results are presented for the four possible outer block interleaver configurations in the case of flat Rayleigh fading channel. …”
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Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machines Classifier by Lean Yu

“…In the proposed LS-FSVM model, the purpose of incorporating the concepts of fuzzy sets is to add generalization capability and outlier insensitivity, while the least squares method is adopted to reduce the computational complexity. For illustrative purposes, a real-world credit risk dataset is used to test the effectiveness and robustness of the proposed LS-FSVM methodology.…”
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A Multi-Branch Convolution and Dynamic Weighting Method for Bearing Fault Diagnosis Based on Acoustic–Vibration Information Fusion by Xianming Sun, Yuhang Yang, Changzheng Chen, Miao Tian, Shengnan Du, Zhengqi Wang

“…Additionally, when processing acoustic signals, a depthwise separable convolutional network is used, effectively reducing computational complexity. Experimental results demonstrate that our method significantly outperforms other algorithms in terms of convergence speed and final performance. …”
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A Mobile Image-Driven PM2.5 Estimation Framework Using Deep Learning Techniques by Anupam Kamble, Somrawee Aramkul, Paskorn Champrasert

“…This research aims to improve the efficacy and reduce the computational complexity of the PM2.5 concentration estimation process. …”
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Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process by Atef M. Ghaleb, Husam Kaid, Ali Alsamhan, Syed Hammad Mian, Lotfi Hidri

“…In terms of computational complexity, the VIKOR method performed better than TOPSIS and AHP. …”
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On the Performance of Rate-Compatible LDPC Codes under All-Integer Quantization Decoding by Patinya Muangkammuen, Wongpram Vongjampa, Puripong Suthisopapan

“…However, the quantization scheme with the minimum computational complexity called all-integer quantization has not been well investigated since, intuitively, it seems to significantly degrade the decoding performance. …”
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A New Algorithm for System of Integral Equations by Abdujabar Rasulov, Adem Kilicman, Zainidin Eshkuvatov, Gulnora Raimova

“…Beacause of it, we reduce computational complexity considerable. Using the new algorithm it is also possible to solve an initial boundary value problem for system of parabolic equations. …”
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Discretization of a mathematical model for image analysis based on the optics of spiral beams by S.A. Kishkin, S.P. Kotova

“…Explicit mathematical procedures suitable for writing application software codes are given, an estimate of computational complexity is obtained, and the possibility of achieving real-time performance is confirmed. …”
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A Numerical Convolution Representation of Potential for a Disk Surface Density in 3D by Chien-Chang Yen

“…With the help of fast Fourier transform, the computational complexity is only O(M2(log2⁡M)), where M is the number of zones in one dimension. …”
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Rate-Distortion Optimized Frame Dropping for Multiuser Streaming and Conversational Videos by Wei Tu, Jacob Chakareski, Eckehard Steinbach

“…The additional transmission overhead and the computational complexity of the proposed frame dropping schemes are analyzed. …”
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Fast TDOA and FDOA Estimation for Coherent Pulse Signals by Yan Liu, Fucheng Guo

“…Temporal sparsity of pulse signals makes their TDOA and FDOA estimation processes much different, and computational complexity is a major concern in this area. This paper addresses the problem of fast TDOA and FDOA estimation of pulse signals and focuses mainly on narrowband coherent pulses. …”
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Intrusion Detection Model for Wireless Sensor Networks Based on FedAvg and XGBoost Algorithm by Hongjiao Wu

“…It is also compared with other algorithms to demonstrate the high detection rate and low computational complexity of this algorithm.…”
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Declarative Programming with Temporal Constraints, in the Language CG by Lorina Negreanu

“…Hence, we explore the computational complexity of our query satisfaction problem. …”
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UAV Intelligent Control Based on Machine Vision and Multiagent Decision-Making by Zishan Huang

“…Moreover, this paper adds scale information on the basis of the LSD algorithm, uses the multiline segment standard to merge these candidate line segments for intelligent recognition, and uses the LSD detection algorithm to improve the operating efficiency of the UAV control system and reduce the computational complexity. In addition, this paper combines machine vision technology and multiagent decision-making technology for UAV intelligent control and builds an intelligent control system, which uses intelligent machine vision technology for recognition and multiagent decision-making technology for motion control. …”
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Adaptive Prediction of Channels with Sparse Features in OFDM Systems by Changwei Lv, Shujuan Hou, Wenbo Mei

“…We also compare the proposed prediction method with the classical frequency domain method realized at each OFDM subcarrier and demonstrate that our method increases the prediction accuracy and reduces the computational complexity. Simulations on the physical channel model verify the performance of the proposed method.…”
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Neuroevolutionary reinforcing learning of neural networks by Y. A. Bury, D. I. Samal

“…The last two are used as the primary method for reducing the dimension of the input signal of the system and simplifying the process of its training in terms of computational complexity.In the presented work, the neural network structure of the control device of the modeled system is formed in the course of the evolutionary process, taking into account the currently known structural and developmental features of self-learning systems that take place in living nature. …”
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Computing Coherence Vectors and Correlation Matrices with Application to Quantum Discord Quantification by Jonas Maziero

“…Notwithstanding, as we demonstrate in this paper, some algebraic manipulations before programming can reduce considerably their computational complexity. Besides, we provide Fortran code to generate generalized Gell-Mann matrices and to compute the optimized and unoptimized versions of associated Bloch’s vectors and correlation matrix in the case of bipartite quantum systems. …”
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Fuzzy-Approximation-Based Novel Back-Stepping Control of Flexible Air-Breathing Hypersonic Vehicles with Nonaffine Models by Xingge Li, Gang Li

“…For the unknown functions and uncertainties in each subsystem, fuzzy approximators are used to approximate the total uncertainties, and norm estimation approach is introduced to reduce the computational complexity of the algorithm. Aiming at the saturation problem of actuator, a saturation auxiliary system is designed to transform the original control problem with input constraints into a new control problem without input constraints. …”
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Application of Intelligent Signal Reflection in the Communication Model of an Electronic Controller by Lan Lan

“…It combines the GAMP algorithm with machine learning, so it can achieve similar performance with much lower computational complexity than the traditional block sparse Bayesian learning algorithm. …”
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