A Fast Map Merging Algorithm in the Field of Multirobot SLAM by Yanli Liu, Xiaoping Fan, Heng Zhang

“…In this paper, a map merging algorithm based on virtual robot motion is proposed for multi-robot SLAM. …”
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Design and Enhanced Evaluation of a Robust Anaphor Resolution Algorithm by Roland Stuckardt

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Graph partition based mapping algorithm on multiprocessors for streaming applications by Qi TANG, Shang-feng WU, Jun-wu SHI, Ji-bo WEI

“…To take advantage of multiprocessor platform,it is a necessity to map tasks of the application properly onto different processors to exploit the concurrency in the application and thus meet the stringent timing requirements.Parallelism graph was proposed to quantify and model the concurrency among tasks of the application.An algorithm was also proposed to construct the parallelism graph based on the self-timed schedule and transform the mapping problem to a graph partitioning problem.The graph partitioning problem as a pure 0-1 integer linear programming model was further formulated and the ILP solver to find the optimal result.A lot of randomly generated synchronous dataflow graphs and a set of practical applications were used to evaluate the performance of the proposed method.The experimental results demonstrate that the proposed method outperforms available algorithms.…”
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Optimizing Models and Data Denoising Algorithms for Power Load Forecasting by Yanxia Li, Ilyosbek Numonov Rakhimjon Ugli, Yuldashev Izzatillo Hakimjon Ugli, Taeo Lee, Tae-Kook Kim

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Application of Adaptive Genetic Algorithm in Optimal Scheduling of Aviation Materials by Jinqiu Shang

“…In some cases, the improved NSGA-II algorithm is expressed to zero deviation, which is not achieved by other traditional algorithms. …”
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Spatiotemporal data modeling and prediction algorithms in intelligent management systems by Xin Cao, Chunxiao Mei, Zhiyong Song, Hao Li, Jingtao Chang, Zhihao Feng

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Nonlinear cancellation algorithm for cooperative jamming against frequency offset by WEN Rong, HE Yimin, ZHANG Yidan, ZHAO Hongzhi, TANG Youxi

“…Simulation results demonstrate that the proposed algorithm outperforms existing nonlinear CJ cancellation algorithms in terms of anti frequency offset performance under the same complexity level.…”
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Medical Images Segmentation Based on Unsupervised Algorithms: A Review by Revella E. A. Armya, Adnan Mohsin Abdulazeez

“…The key aim of this paper is to study some literature on unsupervised algorithms (K-mean, K-medoids) and to compare the working efficiency of unsupervised algorithms with different types of medical images. …”
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Nonmonotone Adaptive Barzilai-Borwein Gradient Algorithm for Compressed Sensing by Yuanying Qiu, Jianlei Yan, Fanyong Xu

“…We study a nonmonotone adaptive Barzilai-Borwein gradient algorithm for l1-norm minimization problems arising from compressed sensing. …”
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Application of Decision Tree-Based Classification Algorithm on Content Marketing by Yi Liu, Shuo Yang

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GNN-based optimization algorithm for joint user scheduling and beamforming by Shiwen HE, Jun YUAN, Zhenyu AN, Min ZHANG, Yongming HUANG, Yaoxue ZHANG

“…The coordinated multi-point (CoMP) transmission technology has the characteristics of reducing co-channel interference and improving spectral efficiency.For the CoMP technology, user scheduling (US) and beamforming (BF) design are two fundamental research problems located in the media access control layer and the physical layer, respectively.Under the consideration of user service quality requirements, the joint user US-BF optimization problem was investigated with the goal of maximizing network throughput.To overcome the problem that the traditional optimization algorithm had high computational cost and couldn’t effectively utilize the network historical data information, a joint US and power allocation (M-JEEPON) model based on graph neural network was proposed to realize joint US-BF optimization by combining the beam vector analytical solution.The simulation results show that the proposed algorithm can achieve the performance matching or even better than traditional optimization algorithms with lower computational overhead.…”
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First Simulations of Feedback Algorithm‐Regulated Marine Cloud Brightening by Walker Raymond Lee, Chih‐Chieh Chen, Jadwiga Richter, Douglas G. MacMartin, Ben Kravitz

“…Abstract Feedback control algorithms are important tools in climate intervention simulation design because they facilitate “top‐down” design, in which climate goals (often temperatures) are prescribed and a strategy chosen to meet the target. …”
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THE ALGORITHM FOR THE TREATMENT OF PATIENTS WITH TREATMENT-RESISTANT HYPERTENSION AT THE OUTPATIENT STAGE by O. S. Kulbachuk, E. V. Sid, O. V. Soloviov, A. V. Piskun

“…To acquaint general practice - family medicine doctors with the algorithm of treatment of patients with resistant arterial hypertension at the ambulatory stage. …”
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ISI sparse channel estimation based on ISL0 algorithm by Ting LIU, Jie ZHOU, CHIJiu-he JU

Subjects: “…compressed-sensing;linear program;non-convex optimization;ISL0 algorithm;sparse restoration…”
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Algorithm for constructing routing to ensure fault tolerance of the communication network by G. O. Sorokin, A. V. Sinitsyn

“…Mathematical modeling, as well as experimental testing of the presented model based on various geodata through the practical implementation of a formalized algorithm.Results. A mathematical model of the algorithm is proposed, which is based on algorithms for constructing a minimum spanning tree, as well as an example of its implementation.Conclusions. …”
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Virtual network embedding algorithm based on negotiation in distributed environment by Yi-ming JIANG, Ju-long LAN, Dong-nian CHENG, Fang-ming WU

Subjects: “…virtual network;distributed embedding algorithm;embedding protocol;communication cost…”
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Image Classification of Multimedia Platforms With Texture Algorithms and Neural Networks by Mauricio Sauzameda-Gonzalez, Josue Alvarez-Borrego, Esperanza Guerra-Rosas

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On the Potential of Algorithm Fusion for Demographic Bias Mitigation in Face Recognition by Jascha Kolberg, Yannik Schäfer, Christian Rathgeb, Christoph Busch

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Exploring the Potential of the Bicameral Mind Theory in Reinforcement Learning Algorithms by Munavvarkhon Mukhitdinova, Mariana Petrova

“…This study explores the potential of Julian Jaynes’ bicameral mind theory in enhancing reinforcement learning (RL) algorithms and large language models (LLMs) for artificial intelligence (AI) systems. …”
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Adaptive Top-K Algorithm for Medical Conversational Diagnostic Model by Yiqing Yang, Guoyin Zhang, Yanxia Wu, Zhixiang Zhao, Yan Fu

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