Seismic Control of Tall Buildings Using Distributed Multiple Tuned Mass Dampers by Hamid Radmard Rahmani, Carsten Könke

“…The nondominated sorting genetic algorithm II (NSGA-II) method was improved by adding multivariant genetic operators and utilized to simultaneously study the optimum design parameters of the TMDs and the optimum placement. …”
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A Study on Early Warning of Financial Indicators of Listed Companies Based on Random Forest by Zilin Wang

“…However, there are still some shortcomings in the current research on financial early warning, for example, it still evaluates the scoring method or only uses a single model to participate in the construction of financial early warning algorithm. In view of the above problems, this study will mainly use the random forest method combined with the decision tree algorithm to study the financial early warning problem of listed companies in China. …”
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Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment by Gaige Wang, Lihong Guo, Hong Duan

“…This paper proposes a wavelet mother function selection algorithm with minimum mean squared error and then constructs MWFWNN network using the above algorithm. …”
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Retrieving Aerosol Optical Depth over Land from Landsat-8 Satellite Images with the Aid of Cloud Shadows by Jingmiao Zhu, Congcong Qiao, Minzheng Duan

“…Based on this assumption, an algorithm for AOD retrieval over land is developed and tested using Landsat-8/9 images containing scattered clouds over Xuzhou, China, and Dalanzadgad, Mongolia. …”
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Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect by Jurong Hu, Evans Baidoo, Lei Zhan, Ying Tian

“…In this paper, a robust angle estimator for uncorrelated targets that employs a compressed sense (CS) scheme following a fast greedy (FG) computation is proposed to achieve improved computational efficiency and performance for the bistatic MIMO radar with unknown gain-phase errors. The algorithm initially avoids the wholly computation of the received signal by compiling a lower approximation through a greedy Nyström approach. …”
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An Improved Particle Swarm Optimization-Powered Adaptive Classification and Migration Visualization for Music Style by Xiahan Liu

“…Based on the adaptive particle swarm algorithm and error backpropagation neural network, this paper proposes methods for different styles of music classification and migration visualization. …”
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Automatic Tracking Method of Basketball Flight Trajectory Based on Data Fusion and Sparse Representation Model by Cuiping Cao, Hai Yu, Yun Liu

“…Data fusion technology and particle filter algorithm are combined to realize automatic tracking of basketball flight path. …”
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Leader-Following Multiple Unmanned Underwater Vehicles Consensus Control under the Fixed and Switching Topologies with Unmeasurable Disturbances by Zheping Yan, Yi Wu, Yibo Liu, Hongliang Ren, Xue Du

“…Finally, simulation results are shown to demonstrate the effectiveness of the algorithm proposed in the paper.…”
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Target Tracking in 4D Ultrasound using Localization Networks by Krause Cassandra, Wulff Daniel, Ernst Floris

“…The proposed tracking algorithm is real-time capable with a mean runtime per 3D ultrasound image of 68ms.…”
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ASSESSMENT AND ANALYSIS OF DIGITAL TRANSFORMATION OF REGIONAL ECONOMIC SYSTEMS OF THE RUSSIAN FEDERATION: METHODOLOGICAL APPROACHES AND THEIR APPROBATION by M. R. Safiullin, A. A. Abdukaeva, L. A. Elshin

“…The article proposes an algorithm for measuring the level of development of the content elements of the digital economy in the regions of the Russian Federation. …”
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Explainable AI for DeepFake Detection by Nazneen Mansoor, Alexander I. Iliev

“…This study introduces a deepfake detection technique that enhances interpretability using the network dissection algorithm. This research consists of two stages: (1) detection of forged images using advanced convolutional neural networks such as ResNet-50, Inception V3, and VGG-16, and (2) applying the network dissection algorithm to understand the models’ internal decision-making processes. …”
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Two-Dimensional Direction-of-Arrivals Estimation Based on One-Dimensional Search Using Rank Deficiency Principle by Feng-Gang Yan, Zhi-Kun Chen, Ming-Jian Sun, Yi Shen, Ming Jin

“…A novel efficient method for two-dimensional (2D) direction-of-arrivals (DOAs) estimation is proposed to reduce the computational complexity of conventional 2D multiple signal classification (2D-MUSIC) algorithm with uniform rectangular arrays (URAs). By introducing two electrical DOAs, the formula of 2D-MUSIC is transformed into a new one-dimensional (1D) quadratic optimal problem. …”
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Spatial Multiple Description Coding for Scalable Video Streams by Roya Choupani, Stephan Wong, Mehmet Tolun

“…The proposed algorithm addresses the quality degradation due to low-pass filtering effect of interpolation methods. …”
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Two-Round Diagnosability Measures for Multiprocessor Systems by Jiarong Liang, Qian Zhang, Changzhen Li

“…For Qn, we prove that the proposed algorithm is the time complexity of On2n.…”
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Optimization of Lateral Collision Risk of Aircraft Based on the Skid-Slip Event Model by Hao Liu, Daiwu Zhu, Xiaofan Xie, Jiuhao Chen, Xiaokang Liu

“…Based on the traditional event collision risk assessment model, the collision module is upgraded to an ellipsoid according to the performance of aircraft, integrating the boundary curvature optimization characteristics of the TSRRT (task-space rapidly-exploring random trees) algorithm. An aircraft event lateral conflict resolution model based on the TSRRT algorithm is proposed. …”
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Evaluating Human Factors in TFM Sizing Accuracy: Statistical Findings from a Round-Robin Programme (Part 2) by Mariana Burrowes M. Guimarães, Edward Ginzel, Gabriela Ribeiro Pereira, Cesar Giron Camerini, Cesar Giron Camerini

“…Their task was to scan the welds using an acquisition format compatible with a TFM algorithm and analyse the data using the TFM algorithm of their choice. …”
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Maximizing Information Dissemination in Social Network via a Fast Local Search by Lijia Tian, Xingjian Ji, Yupeng Zhou

“…When the algorithm stalls in local optima, a random walk operator reorients the search towards unexplored regions. …”
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Online Incremental Learning for High Bandwidth Network Traffic Classification by H. R. Loo, S. B. Joseph, M. N. Marsono

“…This paper proposes an algorithm for online network traffic classification based on the concept of incremental k-means clustering to continuously learn from both labeled and unlabeled flow instances. …”
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Human Behavior-Based Particle Swarm Optimization by Hao Liu, Gang Xu, Gui-yan Ding, Yu-bo Sun

“…Particle swarm optimization (PSO) has attracted many researchers interested in dealing with various optimization problems, owing to its easy implementation, few tuned parameters, and acceptable performance. However, the algorithm is easy to trap in the local optima because of rapid losing of the population diversity. …”
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Intelligent Computer Technology-Driven Mural Pattern Recognition Method by Wenqing Wei, Lei Gao

“…The experimental results show that the improved algorithm can reduce the recognition error; enhance the edge, texture, and structure information of the reconstructed mural image; and enrich the detail information of the reconstructed mural image.…”
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