Research on heterogeneous data fusion and arithmetic optimization in multi-sensor systems by DING Kai, JIANG Chaoyue, TAO Ming, XIE Renping

“…Finally, the delay and energy consumption requirements of tasks were modeled, and the optimization problem of minimizing system cost was constructed under resource constraints, which was transformed into Markov decision process (MDP) and solved with deep deterministic policy gradient (DDPG) algorithm. Simulation experiments show that the proposed architecture and scheduling algorithm exhibit excellent performance in reducing both latency and energy consumption, and provide a new idea for efficient data fusion and arithmetic optimization in multi-sensor systems.…”
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Adaptive Oversampling via Density Estimation for Online Imbalanced Classification by Daeun Lee, Hyunjoong Kim

“…By generating synthetic minority samples using awKDE, the algorithm adaptively balances class distributions, ensuring robustness in evolving environments. …”
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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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UAV target tracking method based on global feature interaction and anchor-frame-free perceptual feature modulation. by Yuanhong Dan, Jinyan Li, Yu Jin, Yong Ji, Zhihao Wang, Dong Cheng

“…Comparison experiments with several popular algorithms on UAV tracking datasets, such as UAV123@10fps, UAV20L, and DTB70, show that the algorithm balances speed and accuracy. …”
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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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Application of Histogram Equalization for Image Enhancement in Corrosion Areas by Jianbin Xiong, Dezheng Yu, Qi Wang, Lei Shu, Jian Cen, Qiong Liang, Huanyang Chen, Baocheng Sun

“…In this paper, an image enhancement algorithm is presented for identification of corrosion areas and dealing with low contrast present in shadow areas of an image. …”
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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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A Novel Deployment Method for Communication-Intensive Applications in Service Clouds by Chuanchang Liu, Jingqi Yang

“…Secondly, in the online-deployment algorithm and the offline-deployment algorithm, service instances were deployed in an optimal cloud node based on the communication overhead which is determined by the communication traffic between services, as well as the communication performance between cloud nodes. …”
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Unified Framework of Approximating and Interpolatory Subdivision Schemes for Construction of Class of Binary Subdivision Schemes by Pakeeza Ashraf, Ghulam Mustafa, Abdul Ghaffar, Rida Zahra, Kottakkaran Sooppy Nisar, Emad E. Mahmoud, Wedad R. Alharbi

“…In this paper, a generalized algorithm to develop a class of approximating binary subdivision schemes is presented. …”
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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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Parallel Swarms Oriented Particle Swarm Optimization by Tad Gonsalves, Akira Egashira

“…The attractive feature of the PSO-PSO version of the algorithm is that it does not introduce any new parameters to improve its convergence performance. …”
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Solving non-binary constraint satisfaction problems using GHD and restart. by Fatima AIT HATRIT, Kamal AMROUN, Professor

“…One of these algorithms, called Forward Checking based on Generalized Hypertree Decomposition (FC-GHD+NG+DR), combines the advantages of an enumerative search algorithm with those of Generalized Hypertree Decomposition. …”
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Truck-Lifting Prevention System Based on Vision Tracking for Container-Lifting Operation by Qingfeng Huang, Yage Huang, Zhiwei Zhang, Yujie Zhang, Weijian Mi, Chao Mi

“…The accident detection algorithm combines convolutional neural network detection, traditional image processing, and a multitarget tracking algorithm to calculate the displacement and posture information of the truck during the operation. …”
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Optimal Scheduling Model of WDM/OTN Network Transmission Line Based on Machine Learning by Jianhua Zhao, Jingquan Li, Huicong Fan, Wenxiao Li, Jingna Zhang, Xiaoyuan Dai

“…Simulation results show that after the historical routing regression test, the path coincidence rate of the route obtained by the algorithm and the historical real decision-making route reaches 81%, and the resource hit rate reaches 84%, which meets the requirements for actual production. …”
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