Modified SLM algorithm based on cyclic shift and signal combination in MIMO-OFDM system by Wu-jun HU, Lin YANG

“…In order to reduce the computational complexity of conventional selective mapping (SLM) algorithm in multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) system，more candidate sequence sets will be produced.With different peak to average power ratio (PAPR) by time domain cyclic shift and signal combination between the antennas.The receiving part can restore the rotation signals by using the sequence selection order of the transmitting part and also the original signals by comparing the inversed rotation sequence with its nearest constellation points.The simulation results show that the proposed method can effectively reduce the PAPR of OFDM signals.In addition，compared with the conventional SLM algorithm，the proposed method can reduce the algorithm computation complexity significantly and obtain similar bit error rate (BER) performance.…”
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APPLICATION OF MACHINE LEARNING ALGORITHMS TO EVALUATE THE UCI DATABASE IN THE CLASSIFICATION OF AUTISM SPECTRUM DISORDERS by Phạm Quang Thuận, Nguyễn Đình Thuân

“…We evaluated the data set with the SVM and Random Forest algorithms and also investigated the Decision Tree, Logistic Regression, K-Nearest-Neighbors, Naïve Bayes, and Multi-Layer Perceptron (MLP) algorithms. …”
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Self-Tuning Control with Regularized RLS Algorithm for Vibration Cancellation of a Circular Plate by Lucyna LENIOWSKA, Paweł KOS

“…The algorithm can be described as a combination of the following two procedures: the online identification and the computation of the controller parameters. …”
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Best Possible Approximation Algorithms for Single Machine Scheduling with Increasing Linear Maintenance Durations by Xuefei Shi, Dehua Xu

“…We also show that there is no polynomial time approximation algorithm with a worst-case bound less than 2 for the problem with b≥0 unless P=NP, which implies that the FFD-LS2I algorithm is the best possible algorithm for the case b>1 and that the FFD-LS algorithm, which is proposed in the literature, is the best possible algorithm for the case b≤1 both from the worst-case bound point of view.…”
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Complex degenerate metrics in general relativity: a covariant extension of the Moore–Penrose algorithm by Arthur Garnier, Emmanuele Battista

“…Abstract The Moore–Penrose algorithm provides a generalized notion of an inverse, applicable to degenerate matrices. …”
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Two Novel DV-Hop Localization Algorithms for Randomly Deployed Wireless Sensor Networks by Guozhi Song, Dayuan Tam

“…The ML localization algorithm is also replaced by hyperbolic location algorithm. …”
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An Improved Diffusion Based Placement Algorithm for Reducing Interconnect Demand in Congested Regions of FPGAs by Ali Asghar, Husain Parvez

“…Maximum channel width gain of ~33% was also observed.…”
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New Inertial Relaxed CQ Algorithms for Solving Split Feasibility Problems in Hilbert Spaces by Haiying Li, Yulian Wu, Fenghui Wang

“…Furthermore, we also establish weak and strong convergence of the proposed algorithms under certain mild conditions and present a numerical experiment to illustrate the performance of the proposed algorithms.…”
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Deletion method of image low-frequency components using fast median filter algorithm by N. V. Bilous, O. I. Krasov, V. P. Vlasenko

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Classification with Machine Learning Algorithms after Hybrid Feature Selection in Imbalanced Data Sets by Meryem Pulat, Ipek Deveci Kocakoç

“…The efficacy of machine learning algorithms significantly depends on the adequacy and relevance of features in the data set. …”
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Optimization of Business English Teaching Based on the Integration of Interactive Virtual Reality Genetic Algorithm by Xiao Ma

“…With the continuous advancement of the global economy and the deepening of internationalization and openness, it is also necessary to keep pace with the times in the optimization of business English teaching. …”
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CP-Based SBHT-RLS Algorithms for Tracking Channel Estimates in Multicarrier Modulation Systems by H. Ali

“…Performance of the algorithms is also evaluated for varying forgetting factor parameter values, constellation size, and word lengths. …”
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A Modified Iterative Alternating Direction Minimization Algorithm for Impulse Noise Removal in Images by Di Guo, Xiaobo Qu, Meng Wu, Keshou Wu

“…It can be also applied to suppress impulse noise-like artifacts in real mural images.…”
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Accurate Maximum Power Point Tracking Algorithm Based on a Photovoltaic Device Model by Lhoussain El Bahir, Touria Hassboun

“…The method has the advantage of accuracy without any oscillations, as with certain conventional methods. The algorithm has also the ability to track accurately the maximum power point under variable atmospheric conditions and load changes. …”
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A lightweight algorithm for synchronized multimodal data acquisition using temporal sample alignment by Jacek Piatkowski, Lukasz Karbowiak, Filip Depta

“…This process can therefore be referred to as a software-based synchronization method. We also conducted tests to validate our solution.…”
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Generic multidimensional economic environmental operation of power systems using equilibrium optimization algorithm by Mohamed T. Mouwafi, Adel A. Abou El-Ela, Amany A. El-Hamoly, Ragab A. El-Sehiemy

“…Also, the proposed multi-objective EOA (MOEOA) successfully acquires the Pareto optimal front to find the best compromise solution between the considered OFs. …”
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A new algorithm by embedding structured data for low-rank tensor ring completion by Ruiping Wen, Tingyan Liu, Yalei Pei

“…It is also proved that the sequence generated by the new algorithm converges to the optimal solution. …”
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Interval variational approach for production control and waste reduction using artificial hummingbird algorithm by Subhajit Das, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Seyedali Mirjalili

“…Sensitivity analyses are also performed to help managers make informed decisions.…”
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Improved Group Search Optimization Algorithm for Multi-Objective Optimal Reactive Power Dispatch by Ebrahim Babaei, Alireza Shamlou

“…Due to complicating objectives and also physical and operating constraints, an efficient optimization algorithm is needed. …”
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Low complexity hybrid iterative algorithm based signal detection in massive MIMO system by Shufeng ZHAO, Bin SHEN, Furong YANG

“…Among the uplink signal detection algorithms for massive MIMO systems,the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However,conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix,which makes it hard to implement in realistic applications.Based on joint steepest descent (SD) algorithm and Gauss-Seidel iteration,a low complexity hybrid iterative detection algorithm was proposed.The SD algorithm was employed to obtain an efficient searching direction for the following Gauss-Seidel to speed up convergence.Meanwhile,an approximated method was also proposed to compute the bit log-likelihood ratio (LLR) for soft channel decoding.Simulation results verify that the proposed algorithm can converge rapidly and achieve its performance quite close to that of the MMSE algorithm with only a small number of iterations.Meanwhile,the complexity is reduced by an order of magnitude,which is kept consistently of O(K ²).…”
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