Image Similarity Quantum Algorithm and Its Application in Image Retrieval Systems by Qingchuan Yang, Xianing Feng, Lianfu Wei

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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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Determination of the Equilibrium Parameters of Gaseous Detonations Using a Genetic Algorithm

“…The present work is concerned with the development of a new algorithm for determination of the equilibrium composition of gaseous detonations. …”
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A Novel Image Mosaicking Algorithm for Wireless Multimedia Sensor Networks by Zhiyuan Li, Weiting Kong, Yongzhao Zhan, Junlei Bi

“…After the image registration, the adaptive weighted average algorithm is proposed to do the image fusion. The simulation experiments show that compared with homogeneous algorithms, the IMBPW algorithm has higher real-time and fast convergence speed. …”
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Distributed data trading algorithm based on multi-objective utility optimization by Xiaohong HUANG, Yong ZHANG, Desheng SHAN, Yekui QIAN, Lu HAN, Dandan LI, Qun CONG

“…The traditional centralized data trading models are not well applicable to the current intelligent era where everything is interconnected and real-time data is generated, and in order to maximize the use of collected data, it is essential to design an effective data trading framework.Therefore, a distributed data trading framework based on consortium blockchain was proposed, which realized P2P data trading without relying on a third party.Aiming at the problem that existing data trading models only consider the factors of the data itself and ignore the factors related to user tasks, a bi-level multi-objective optimization model was constructed based on multi-dimensional factors, such as data quality, data attributes, attribute relevance and consumer competition, to optimize the utilities of data provider (DP) and data consumer (DC).To solve the above model, an improved multi-objective genetic algorithm-collaborative NSGAII was proposed, calculated by the cooperation of DP, DC and data aggregator (AG).The simulation results show that the collaborative NSGAII achieves better performance in terms of the utilities of DP and DC, thus realizing more effective data trading.…”
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The Ranking Prediction of NBA Playoffs Based on Improved PageRank Algorithm by Fan Yang, Jun Zhang

“…It is of great significance to predict the results accurately based on the statistics of sports competition for participants research, commercial cooperation, advertising, and gambling profit. Aiming at the phenomenon that the PageRank page sorting algorithm is prone to subject deviation, the category similarity between pages is introduced into the PageRank algorithm. …”
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ALGORITHM FOR ASSESSING TIME AND COST RISKS AT ENTERPRISES OF THE MILITARY-INDUSTRIAL COMPLEX by N.D. Pechalin, A.G. Finogeev

“…Implementation of the model and method for predictive risk assessment based on the analysis of available statistics at the enterprise allows using the obtained results to analyze other parameters of the project task, for example, product reliability parameters and quality indicators. The models and algorithm for risk analysis are intended for the management personnel of the enterprise and are currently used in drawing up a calendar schedule of cooperation processes during the implementation of production tasks for the release of products of the defense industry complex. …”

ABOUT ALGORITHMIZATION OF CALCULATIONS OF THE ARC STEEL MAKING FURNACE SLAG CONTENT by A. A. Chichko, V. F. Sobolev, N. V. Andrianov, V. V. Pivtsaev, S. V. Terletskij

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NECTAR-An Agent-Based Dynamic Task Allocation Algorithm in the UAV Swarm by Chao Chen, Weidong Bao, Tong Men, Xiaomin Zhu, Ji Wang, Rui Wang

“…In addition, we introduce a novel agent-based allocating mechanism based on the auction process, including the design for three kinds of agents and the cooperation mechanism among different agents. Moreover, we proposed a new algorithm to calculate the bidding values of UAVs, by which the messages passed between UAVs can be reduced. …”
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Changes in Stratospheric Climate and Age‐Of‐Air in Recent GEOS Systems Since MERRA‐2 by Clara Orbe, Lawrence L. Takacs, Amal El Akkraoui, Krzysztof Wargan, Andrea Molod, Steven Pawson

“…Our results strongly support continued examination of the role of numerics in contributing to transport biases in composition modeling.…”
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GENERALIZED ALGORITHM OF COMBINE PROCESS ADJUSTMENT BASED ON FUZZY KNOWLEDGE MODELS by Valery Petrovich Dimitrov, Lyudmila Victorovna Borisova

“…The fuzzy inference algorithm is based on the domain models of ‘prior configuration’ and ‘process adjustment’. …”
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Two-sided Energy Storage Cooperative Scheduling Method for Transmission and Distribution Network Based on Multi-agent Attention-deep Reinforcement Learning by CHEN Shi, ZHU Yujie, LIU Yihong, XU Liuchao, TANG Guodeng

“…The attention mechanism is introduced into the evaluation network to capture interdependencies among agents, enabling potential intent recognition and cooperative behavior perception, thereby improving algorithm convergence. …”
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A patterning algorithm for the dynamic bin packing problem with placement groups by Evgeniy A. Brazhnikov, Artem A. Panin, Alexey V. Ratushnyi

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Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform by Xiaoyue Cui

“…Aiming at the problems of low image data retrieval accuracy and slow retrieval speed in the existing image database retrieval algorithms, this paper designs a clothing image database retrieval algorithm based on wavelet transform. …”
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Comparative Study of Modern Differential Evolution Algorithms: Perspectives on Mechanisms and Performance by Janez Brest, Mirjam Sepesy Maučec

“…We conducted not only a cumulative analysis of algorithms, but we also focused on their performances regarding the function family (i.e., unimodal, multimodal, hybrid, and composition functions). …”
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The Gag City Grammar Police: Language and Algorithmic Community on Stan Twitter by Evan Lorant

“…Through digital ethnographic observation of nonstandard English use on Twitter, I argue that Barbz--Nicki Minaj stans––discourage their posts from spreading to the general public. Working with the algorithm’s composition of social media feeds, Barbz use language to conceal themselves while remaining discoverable. …”
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Research on Polyphonic Music Generation Algorithm Based on GPT Large Model by Lin Zhu, Wenjuan Zhang

“…Along with the rapid technological progress in the field of artificial intelligence, music generation algorithms based on large-scale pre-trained models have increasingly become the focus of academic attention. …”
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A Real-Time Key-Finding Algorithm Based on the Signature of Fifths by Paulina KANIA, Dariusz KANIA, Tomasz ŁUKASZEWICZ

“…The technique is based on geometrical relationships existing between twelve polar vectors inscribed in the circle of fifths, which represent individual pitch-classes detected in a given composition. In this paper we introduce a real-time key-detection algorithm which utilizes the concept of the signature of fifths. …”
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The Impact of Acute Hydration on Body Composition Assessment Using the Bioelectrical Impedance Method in Female Pilates Novices by Lejla Dizdarević, Saša Vuk

“…These changes can be explained by the redistribution of fluid in the body and the algorithms that BIA devices use to assess body composition. …”
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Cross-validation for training and testing co-occurrence network inference algorithms by Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

“…Results Previous methods for evaluating the quality of the inferred network include using external data, and network consistency across sub-samples, both of which have several drawbacks that limit their applicability in real microbiome composition data sets. We propose a novel cross-validation method to evaluate co-occurrence network inference algorithms, and new methods for applying existing algorithms to predict on test data. …”
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