Algorithm for intelligent collaborative target search and trajectory planning of MAV/UAV by Zhuo LU, Qihui WU, Fuhui ZHOU

“…Based on the manned aerial vehicle (MAV) / unmanned aerial vehicle (UAV) intelligent cooperation platform, the search of multiple interfered signal sources with unknown locations and trajectory planning were studied.Considering the real-time and dynamic nature of the search process, a MAV/UAV intelligent collaborative target search and trajectory planning (MUICTSTP) algorithm based on multi-agent deep reinforcement learning (MADRL) was proposed.Each UAV made online decision on trajectory planning by sensing the received interference signal strength (RISS) values, and then transmitted the sensing information and decision-making actions to the MAV to obtain the global evaluation.The simulation results show that the proposed algorithm exhibits better performance in long-term RISS, collision, and other aspects compared to other algorithms, and the learning strategy is better.…”
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An evaluation of flow-routing algorithms for calculating contributing area on regular grids by A. B. Prescott, J. D. Pelletier, S. Chataut, S. Ananthanarayan

“…Here we document the fact that a commonly used multiple-flow-direction algorithm for calculating contributing area, i.e., <span class="inline-formula"><i>D</i>∞</span> of Tarboton (1997), is sufficiently biased along the cardinal and ordinal directions that it is unsuitable for some standard applications of flow-routing algorithms. …”
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Networking algorithm based on self-organizing map neural network for VANET by WU Yi1, YANG Qiong1, WU Qing-xiang2, SHEN Lian-feng1, LIN Xiao2

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Micromedia News Dissemination Impact Assessment Integrated with Personalized Recommendation Algorithm by Shaofang Guo

“…Therefore, it is necessary to innovate methods for evaluating the effects of new media news dissemination. This article mainly combines personalized recommendation algorithms to evaluate the effectiveness of news dissemination. …”
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Application of DBN deep learning algorithm in anti stealing electricity system by Dandan LI, Bingyu GE, Wenwen HUANG, Lei XIE, Shengqi QIAN

“…With the development of economy,the electric power demand increases gradually,but because of the relative backwardness in the automation of electricity,the phenomenon of electric stealing is common.But the traditional anti electric stealing means generally centered around how to strengthen the technical transformation of the electric energy metering device,and the management efficiency is low.The purpose of deep learning is to use the method of constructing the multi-layer neural network model.To learn the potential features of image,text,voice and other data,it also has good effect on the classification problem.The successful application of the deep learning algorithm in many complex fields provides a new effective way to solve the problem of anti stealing electricity.The structure and learning algorithm of DBN and the anti-stealing model based on DBN algorithm was mainly introduced.Finally,experiments were carried out and the results were analyzed.…”
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University Media Content Detection and Classification Based on Information Fusion Algorithm by Shuntao Zhang, Qinglan Yu, Tianming Yang, Kai Peng

“…In order to further solve the problems in promoting the classification of media content in colleges and universities, the effective analysis and understanding of multimedia data content can be better realized based on the characteristics of multimedia data in colleges and universities, combining with the characteristics of rich information, large differences in performance, and large amount of large-scale data. This essay mainly introduces the technology of university media content detection and classification based on information fusion algorithm and focuses on the application of university multimedia content detection, analysis, and understanding, to explore the image discrimination auxiliary attribute feature learning and content association prediction and classification. …”
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Differential bond energy algorithm for optimal vertical fragmentation of distributed databases by Shikha Mehta, Parul Agarwal, Prakhar Shrivastava, Jharna Barlawala

“…The performance of proposed algorithm is compared with classical bond energy algorithm (BEA) on basis of global affinity measure (GAM) value. …”
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Computer Multimedia Art Pattern Creation Based on P-Filling Algorithm by Wenli Lian

“…The computer multimedia art patterns are currently created mainly relying on manual drawing. A computer multimedia art pattern production model is proposed based on the P-filling algorithm in this paper. …”
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Lower bounds for quantum-inspired classical algorithms via communication complexity by Nikhil S. Mande, Changpeng Shao

“…Quantum-inspired classical algorithms provide us with a new way to understand the computational power of quantum computers for practically-relevant problems, especially in machine learning. …”
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Hammerstein Nonlinear Active Noise Control with the Filtered-Error LMS Algorithm by Krzysztof MAZUR, Marek PAWEŁCZYK

“…observed in classical ANC using loudspeakers. They are mainly due to vibrations of a not ideally clamped plate and use of nonlinear actuators, like MFC patches. …”
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Control Algorithm of Energy Storage System Based on Virtual Synchronous Generator by Suvorov Aleksey, Askarov Alisher, Rudnik Vladimir

“…However, as a result of the ongoing introduction into modern power systems of inertia-free generating facilities based on power converters, mainly renewable energy sources, this task is becoming more complex. …”
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Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms by Dongning WANG, Yueyang HUANG, Yuanbo SHI

“…Aiming at the problems of low positioning accuracy and poor stability in multi⁃effect and non⁃line⁃of⁃sight conditions, a new indoor positioning system Chan⁃Taylor⁃Unscented Kalman Filter (C⁃T⁃UKF) combined positioning algorithm is designed based on the time of flight positioning algorithm, combined with the Chan⁃Taylor (C⁃T) cooperative positioning algorithm, and fused with the Unscented Kalman Filter (UKF) algorithm. …”
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Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection by Annisa Putri Utami, Anwar Fitrianto, Khairil Anwar Notodiputro

“…This research aims to examine the results of simulation studies by comparing methods for identifying several outliers using statistical approaches and data mining algorithm approaches in various predetermined data scenarios. …”
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Quantum approximate optimization algorithms for maximum cut on low-girth graphs by Tongyang Li, Yuexin Su, Ziyi Yang, Shengyu Zhang

“…In quantum computing, Farhi, Gutmann, and Goldstone proposed the quantum approximate optimization algorithm (QAOA) for solving the MaxCut problem. Its guarantee on the cut fraction (the fraction of edges in the output cut over all edges) was mainly studied for high-girth graphs, i.e., graphs with only long cycles. …”
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Optimization of Transformer Windings Based on FEA-XGBoost and NSGA-III Algorithm by Shi Bai-di, Jiang Yong-feng, Shang Jing-yu, Bao Ye-feng, Chen Bing-yan, Yang Ke

“…Generally, leakage impedance is mainly decided by the design parameters of the windings, both analytically and numerically. …”
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Parallel Independent Probability Fully Weighted Association Rule Mining Algorithm by LI Cheng yan, LI Xin yu, ZHANG Lei, WANG Guang ze

“…Association rule mining is mainly used to discover knowledge hidden in the data. …”
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Sustainable Selection of Machine Learning Algorithm for Gender-Bias Attenuated Prediction by Raik Orbay, Evelina Wikner

“…An investigation into the environmental burden of seven different types of ML algorithms was conducted and the popular neural network algorithm had the highest environmental burden.…”
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The Fast Discrete Tchebichef Transform Algorithms for Short-Length Input Sequences by Aleksandr Cariow, Marina Polyakova

“…The review of the articles related to fast DTT algorithms has shown that such algorithms are mainly developed for input signal lengths 4 and 8. …”
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Mapping and interpretability of aftershock hazards using hybrid machine learning algorithms by Bo Liu, Haijia Wen, Mingrui Di, Junhao Huang, Mingyong Liao, Jingyuan Yu, Yutao Xiang

“…The hazard zoning map identifies high-risk areas mainly around fault lines and near the epicenter. …”
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HC-means clustering algorithm for precision marketing on e-commerce platforms by Dan Wu, Xin Liu

“…Experiments show that the average accuracy of HC-means algorithm in Glass database is 93.71, which is 15.48–15.79 higher than the highest accuracy of other two kinds of algorithms in the same kind of database. …”
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