Investigation into the Performance Enhancement and Configuration Paradigm of Partially Integrated RL-MPC System by Wanqi Guo, Shigeyuki Tateno

“…The improvement of the partially integrated reinforcement learning-model predictive control (RL-MPC) system is developed in the paper by introducing the Deep Deterministic Policy Gradient (DDPG) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. …”
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RETRACTED ARTICLE: Molecular mechanism and diagnostic marker investigation of endoplasmic reticulum stress on periodontitis by Qianqian Sun, Enqiang Zhu

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Enhancing Algorithmic Literacy: Experimental Study on Communication Students’ Awareness of Algorithm-Driven News by Jose Manuel Noguera-Vivo, María del Mar Grandío-Pérez

“… This article addresses the need for algorithmic literacy in the field of journalism and media education. …”
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Multi-duplication fault tolerant scheduling algorithm based on genetic algorithm in heterogeneous systems by Zhong-zheng HE, Chao-guang MEN, Yong-jun CHEN, Xiang LI

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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

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Retracted: Based on Fuzzy Measure Algorithm Message Adaptive Rate Algorithm of Internet of Things by Journal of Control Science and Engineering

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Anthony Elliott, Algorithmic Intimacy – the Digital Revolution in Personal Relationship: From algorithms to enigma by Emilio Mordini

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Comparison of Dynamic Programming Algorithm and Greedy Algorithm on Integer Knapsack Problem in Freight Transportation by Global Ilham Sampurno, Endang Sugiharti, Alamsyah Alamsyah

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Optimized coverage algorithm of wireless video sensor network based on quantum genetic algorithm by Fu-you FAN, Guo-wu YANG, Qian-qi LE, Feng-mao LV, Chao ZHAO

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Perturbation based privacy preservation and classification using Jaya Algorithm and Dragonfly Inspired Algorithm by Dipanwita Sen, Bhupati Bhusan Mishra, Prasant Kumar Pattnaik

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Network Security Perception System Integrating Improved CNN Algorithm and Improved GRU Algorithm by Yu Huang, Ziyi Zhao, Canbin Shi

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Multi-duplication fault tolerant scheduling algorithm based on genetic algorithm in heterogeneous systems by Zhong-zheng HE, Chao-guang MEN, Yong-jun CHEN, Xiang LI

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Improved ant colony algorithm based cloud computing user task scheduling algorithm by Sining LUO, Hualong WANG, Hongyu LI, Wei PENG

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WSN clustering routing algorithm based on Cuckoo Search algorithm optimized K-means by Kailei ZHU, Aijing SUN

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REVIEW OF FEATURE SELECTION METHODS USING OPTIMIZATION ALGORITHM (Review paper for optimization algorithm) by Zana O. Hamad

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A Navigation Algorithm Based on the Reinforcement Learning Reward System and Optimised with Genetic Algorithm by Mireya Cabezas-Olivenza, Ekaitz Zulueta, Iker Azurmendi-Marquinez, Unai Fernandez-Gamiz, Danel Rico-Melgosa

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Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm. by Xiaotong Bai, Yuefeng Zheng, Yang Lu, Yongtao Shi

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A computational enhancement of Base64 algorithm using Residue Number System algorithms by Kolawole Bariu LOGUNLEKO, Abolore Muhamin LOGUNLEKO, Ayisat Wuraola ASAJU-GBOLAGADE, Akinbowale Nathaniel BABATUNDE, Kazeem Alagbe GBOLAGADE

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Video Recognition of Government Community Management Cases Based on Partial Differential Equation Method by Yumeng Sun

“…The experimental results show that the improved partial differential equation algorithm proposed in this paper improves the accuracy of video recognition by about 5% compared with the traditional algorithm. …”
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Partial Discharge Signal Capture of High Voltage Cable Under Deep Belief Network by GAO Baoqi, MA Hanchao, BI Yanbing, ZHANG Xiaojun, WU Suzhou

“… In order to monitor the running state of high-voltage cable in real time and ensure the safe transportation of power, a partial discharge signal capture method of high-voltage cable based on deep belief network is studied.The improved variational modal decomposition algorithm is used to remove the internal noise of the original local signal; the deep belief network capture model is established, and the limited Boltzmann machine is pre trained by contrast divergence algorithm to obtain the pre training network parameters of the capture model; using the global fine tuning capture model of adaptive moment estimation algorithm, the denoised signal is inputted into the trained capture model and the partial discharge signal is outputted.Experimental results show that the proposed method can effectively remove the internal noise from partial discharge signals.In the case of different interferences, the capture probability of this method is above 0.9, which has excellent anti-interference performance and accurately captures the partial discharge signal types caused by insulation defects.…”
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