Performance optimization of active RIS-assisted near-shore dual-function radar communicaiton system by XU Miao, YUE Dianwu, SUN Yu, WU Xiangkai, YUAN Meng

“…An alternating optimization algorithm based on fractional programming theory and the Lagrangian operator method was proposed. …”
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Research on Path Planning Method of Coal Mine Robot to Avoid Obstacle in Gas Distribution Area by Ruiqing Mao, Xiliang Ma

“…Second, the initial working paths for the coal mine robot are obtained based on Dijkstra algorithm, and then the global optimal working path for the coal mine robot is obtained based on ant colony algorithm. …”
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Intelligent System of Somatosensory Music Therapy Information Feedback in Deep Learning Environment by Nan Zhao

“…The simulation results show that this optimization algorithm can effectively improve the recognition performance of DBN, with an accuracy of 94% in a certain environment, and has a better classification effect than other traditional classification methods.…”
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An Efficient Clustering Protocol for Wireless Sensor Networks Based on Localized Game Theoretical Approach by Dongfeng Xie, Qi Sun, Qianwei Zhou, Yunzhou Qiu, Xiaobing Yuan

“…The sensor nodes, which are modelled as players, join in a clustering game to campaign for cluster heads with an equilibrium probability. However, the CROSS algorithm needs the global information of how many nodes participate in the game at every round. …”
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Sparse Blossom: correcting a million errors per core second with minimum-weight matching by Oscar Higgott, Craig Gidney

“…In this work, we introduce a fast implementation of the minimum-weight perfect matching (MWPM) decoder, the most widely used decoder for several important families of quantum error correcting codes, including surface codes. Our algorithm, which we call sparse blossom, is a variant of the blossom algorithm which directly solves the decoding problem relevant to quantum error correction. …”
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A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating by Yuhan Song, Han Shen-Tu, Junhao Lin, Yizhen Wei, Yunfei Guo

“…A labeled multi-Bernoulli tracking algorithm based on maximum likelihood recursive update is proposed, which can reduce the computational scale while maintaining tracking accuracy. …”
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Enhancing Intelligent Control Strategies for UAVs: A Comparative Analysis of Fuzzy Logic, Fuzzy PID, and GA-Optimized Fuzzy PID Controllers by Nigatu Wanore Madebo

“…The GAFPID controller employs evolutionary computation through a genetic algorithm to optimize parameter tuning, offering superior control performance. …”
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Complexity Analysis of a Four-Dimensional Energy-Economy-Environment Dynamic System by Shuai Jin, Liuwei Zhao

“…During the course of the study, we used Bayesian estimation algorithm to calibrate the environmental quality. Based on the official data, the Levenberg–Marquardt backpropagation neural network method was optimized by genetic algorithm to effectively identify the parameters in the 3E system. …”
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A Novel Modulation Classification Approach Using Gabor Filter Network by Sajjad Ahmed Ghauri, Ijaz Mansoor Qureshi, Tanveer Ahmed Cheema, Aqdas Naveed Malik

“…The Gabor atom parameters are tuned using Delta rule and updating of weights of Gabor filter using least mean square (LMS) algorithm. The simulation results show that proposed novel modulation classification algorithm has high classification accuracy at low signal to noise ratio (SNR) on AWGN channel.…”
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Automatic Classification Method of Music Genres Based on Deep Belief Network and Sparse Representation by Lina Pan

“…According to the output classification, the connection weights in the model are fine-tuned by using the error back-propagation algorithm. Based on the deep belief network model after fine-tuning training, the structure of the music genre classification network model is designed. …”
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Competitive Relief Supply Chain under the Uncertain Conditions by Amirabbass Boroumand, Majid Nojavan, Davood Mohammaditabar, Reza Ghaemi

“…Then, to validate it, a numerical example was solved by the metaheuristic algorithm MOEA/D. The results indicated that the designed model is valid and the selected algorithm to solve it has an acceptable performance. …”
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A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering by XUE Xiaohui, ZHANG Wen, ZHANG Jing, CHEN Yan, ZHOU Chun, CHEN Liang, CAO Zengwei

“…Secondly,the <italic>K</italic>-means clustering algorithm was used to extract electric vehicle users. …”
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Synthesized Cluster Head Selection and Routing for Two Tier Wireless Sensor Network by Keyur Rana, Mukesh Zaveri

“…We have proposed an integrated approach of cluster head selection and routing in two tier wireless sensor network (WSN) using Genetic Algorithm based cluster head selection with A-Star algorithm based routing method to extend life of WSN. …”
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Online auction-based resource scheduling in grid computing networks by Lili Ding, Long Chang, Lei Wang

“…The aim of this article is to introduce a novel auction-based algorithm for grid computing wireless networks and resolve some incompetence with dynamic mechanisms. …”
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Classification of Alzheimer's disease using unsupervised diffusion component analysis by Dominique Duncan, Thomas Strohmer

“…Unsupervised Diffusion Component Analysis, a novel approach based on the diffusion mapping framework, reduces data dimensionality and provides pattern recognition that can be used to distinguish AD brains from healthy brains. The new algorithm constructs coordinates as an extension of diffusion maps and generates efficient geometric representations of the complex structure of the MRI data. …”
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Incremental Gene Expression Programming Classifier with Metagenes and Data Reduction by Joanna Jedrzejowicz, Piotr Jedrzejowicz

“…A detailed description of the algorithm is followed by the extensive computational experiment. …”
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Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints by Chi Zhang, Zhiguang Wang, Baiting Liu, Wang Xiaolei

“…In order to improve the effect of real-time defect recognition in steel plate online production, this paper studies the method of steel plate defect recognition based on the deep neural network algorithm based on space-time constraints. Moreover, this paper improves the space-time constraint algorithm, optimizes the encryption structure of the traditional ABE scheme, and obtains a neural network feature recognition method based on space-time constraints. …”
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Belong and Nonbelong Relations on Double-Framed Soft Sets and Their Applications by Tareq M. Al-shami, Abdelwaheb Mhemdi

“…Second, we give an educational application of optimal choices using the idea of double-framed soft sets. We provide an algorithm of this application with an example to show how this algorithm is carried out.…”
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A Cutting Plane and Level Stabilization Bundle Method with Inexact Data for Minimizing Nonsmooth Nonconvex Functions by Jie Shen, Dan Li, Li-Ping Pang

“…Another merit is that our algorithm makes a distinction between affine pieces that exhibit a convex or a concave behavior relative to the current iterate. …”
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Semantic Detection of Vehicle Violation Video Based on Computer 3D Vision by Yue Dai

“…The MOTA of the CEM algorithm is 78.4%, FP is 1.1%, and FN is 3.5%, and the MOTA of the 3-DCMK algorithm is 88.6%, FP is 0.9%, and FN is 1.9%. …”
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