Optimization method for cloud manufacturing service composition based on the improved artificial bee colony algorithm by Qiang HU, Yuqing TIAN, Haoquan QI, Peng WU, Qingxue LIU

“…To improve the optimization quality, efficiency and stability of cloud manufacturing service composition, a optimization method for cloud manufacturing service composition based on improved artificial bee colony algorithm was proposed.Firstly, three methods of service collaboration quality calculation under cloud manufacturing service composition scenario were put forward.Then, the optimization model with service collaboration quality was constructed.Finally, an artificial bee colony algorithm with multi-search strategy island model was designed to solve the optimal cloud manufacturing service composition.The experimental results show that the proposed algorithm is superior to the current popular improved artificial bee colony algorithms and other swarm intelligence algorithms in terms of optimization quality, efficiency and stability.…”
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An Improved Sequential Recommendation Algorithm based on Short-Sequence Enhancement and Temporal Self-Attention Mechanism by Jianjun Ni, Guangyi Tang, Tong Shen, Yu Cai, Weidong Cao

“…Sequential recommendation algorithm can predict the next action of a user by modeling the user’s interaction sequence with an item. …”
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Numerical Algorithm for the Third-Order Partial Differential Equation with Three-Point Boundary Value Problem by Jing Niu, Ping Li

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Numerical Algorithm for Coupled Fixed Points in Normed Spaces with Applications to Fractional Differential Equations and Economics by Lifang Guo, Salha Alshaikey, Abeer Alshejari, Muhammad Din, Umar Ishtiaq

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Decision Tree Algorithm-Based Model and Computer Simulation for Evaluating the Effectiveness of Physical Education in Universities by Zhifei Zhang, Zijian Zhao, Doo-Seoung Yeom

“…In this paper, the forest algorithm and the decision tree algorithm are mainly used to analyze students’ physical education information, course exam results, and student learning data and relevant feature attributes from the online teaching platform. …”
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Enhancing global model accuracy in federated learning with deep neuro-fuzzy clustering cyclic algorithm by Chin-Feng Lai, Ying-Hsun Lai, Ming-Chin Kao, Mu-Yen Chen

“…This indicates that the deep neural fuzzy methods and clustering cyclic algorithm DNCC presented in this study can improve the accuracy of global models, especially in increasingly non-IID scenarios. …”
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Coverage optimization algorithm and implementation based on computational graph for mobile communication network and IoT service by Haobin WANG, Wei HUANGFU, Yaxi LIU, Wei LIU

“…The research on the mobile communication network optimization for the Internet of things large connection and differential service quality has great significance.Mobile communication network optimization is a multi-parameter complex optimization problem with high computational cost function.In order to provide the basis for parallelization of operations,the calculation method of the coverage quality assessment of the mobile communication network based on the computational graph was introduced.Based on the calculation graph,the derivative calculation method of the coverage quality index was obtained,by back propagation to guide the optimization of the antenna parameters.The momentum method was used to accelerate the convergence speed of the optimization algorithm.The simulation results show that the algorithm is suitable for the coverage optimization in mobile communication network.…”
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Detection algorithm for cache pollution attacks based on node state model in content centric networking by Hong-bo TANG, Lin-hao ZHENG, Guo-dong GE, Quan YUAN

“…Aiming at cache pollution attacks in content centric networking,the attacks were quantitatively described by three parameters,namely number of pollution contents,distribution of attack requests and attack intensity,then the cache state model of node under attack was built.Benefited from the analysis of key parameters of cache node,the attack detection principle based on node state model was put forward,correspondingly,two attack detection algorithms were instantiated with the observation parameters of cache replacement ratio and request arrival rate.The simulation results show that proposed algorithm can obtain good detection performance under each decentralized attack and centralized attack.…”
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Path Tracking Control of Fixed-Wing Unmanned Aerial Vehicle Based on Modified Supertwisting Algorithm by Chenbo Zhao, Luji Guo, Qichen Yan, Zhe Chang, Pengyun Chen

“…This study designs a path tracking controller that combines the radial basis function (RBF) neural network and the supertwisting sliding mode control (STSMC) algorithm. The theoretical stability of the proposed controller is proved by using the Lyapunov theory. …”
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Optimization Model and Algorithm of Empty Pallets Dispatching under the Time-Space Network of Express Shipment by Kang Zhou, Shiwei He, Rui Song, Xiaole Guo, Kaiming Li

“…Therefore, the efficiency of the improved cloud clonal selection operation is higher than genetic algorithm.…”
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LIGHTWEIGHT OPTIMIZATION OF THE AUTOMOBILE FRONT AXLE BASED ON THE IMPROVED MANTA RAY FORAGING ALGORITHM (MT) by LU Jia, WANG Chao

Subjects: “…Manta ray foraging algorithm…”
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Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems by Abdulrahman Alruban, Hanan Abdullah Mengash, Majdy M. Eltahir, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri

“…This manuscript introduces the Artificial Hummingbird Optimization Algorithm with Hierarchical Deep Learning for Traffic Management (AHOA-HDLTM) technique in the ITS environment. …”
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Automatic Distributed Control Method for Indoor Low-Voltage Electricity Based on Modal Symmetry Algorithm by Han Lian

“…An automatic distributed control method for indoor low-voltage electricity system based on modal symmetry algorithm is proposed. In order to improve the voltage stability margin, the decoupling between the indoor low-voltage electricity characteristics and regions was analyzed. …”
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Collaborative Sleep Electroencephalogram Data Analysis Based on Improved Empirical Mode Decomposition and Clustering Algorithm by Xiangwei Zheng, Xiaochun Yin, Xuexiao Shao, Yalin Li, Xiaomei Yu

“…Extraction and classification of EEG features are realized based on the K-means clustering algorithm. Experimental results demonstrate that the classification accuracy is significantly improved, and our proposed algorithm has a positive impact on sleep staging compared with other algorithms.…”
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Athlete Rehabilitation Evaluation System Based on Internet of Health Things and Human Gait Analysis Algorithm by Chen Lianzhen, Zhu Hua

“…In order to improve the effect of athlete’s injury recognition and rehabilitation evaluation, this paper studies the traditional rehabilitation evaluation method and proposes a new athlete rehabilitation evaluation system combining the Internet of Health Things technology and human gait analysis algorithm. Moreover, this paper combines sports characteristics to improve the algorithm of human gait analysis. …”
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Retracted: Design and Implementation of Community Pension Service Quality Evaluation System Based on Clustering Algorithm by Advances in Multimedia

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A fast block partitioning algorithm for VVC intra coding based on depthwise separable convolution by Zhen YE, Guoxiang WANG, Junfeng SONG, Haokun LIU, Tiansong LI

“…The joint video exploration team (JVET) proposed versatile video coding (VVC) as a new video coding standard, and its quadtree plus multi-type tree (QTMTT) partition structure brings effective coding performance improvements.However, it brings about a sharp increase in encoding complexity, which greatly increases the encoding time.In order to solve the above problems, a fast block partitioning algorithm for VVC intra coding based on depthwise separable convolution was proposed.The pixel of coding unit (CU) was used as input, and the texture information feature of CU was extracted through depth-separable convolution.Therefore, accurate partition mode prediction was realized in the QTMT structure in VVC, and the complexity of the encoder was reduced by skipping low-probability partition modes.Experimental results show that the proposed algorithm saves 18% to 48% of encoding time on the VTM 15.2, and only brings an average performance loss of 0.15%.And the additional complexity brought by the lightweight depthwise separable convolution calculation is also negligible.…”
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Cooperation Spectrum Sensing Detecting Algorithm Based on Featured Belief Points in Cognitive Radio Network by Hongyan Zheng, Bo Wu, Yanpeng Feng, Xianjun Meng

“…In order to solve the dilemma of the tradeoff between spectrum sensing performance and spectrum sensing efficiency in cognitive radio network，a nove1 ED/FD cooperation spectrum sensing algorithm based on featured belief points was proposed. …”
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Management of large energy storage power plants: optimization of charging and discharging with cuckoo search algorithm by Behnam Motalebinejad, Majid Hosseina, Mojtaba Vahedi, Mahmoud Samiei Moghaddam

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Algorithm and Architecture Optimization for 2D Discrete Fourier Transforms with Simultaneous Edge Artifact Removal by Faisal Mahmood, Märt Toots, Lars-Göran Öfverstedt, Ulf Skoglund

“…Two-dimensional discrete Fourier transform (DFT) is an extensively used and computationally intensive algorithm, with a plethora of applications. 2D images are, in general, nonperiodic but are assumed to be periodic while calculating their DFTs. …”
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