PSO-RBF Neural Network PID Control Algorithm of Electric Gas Pressure Regulator by Yuanchang Zhong, Xu Huang, Pu Meng, Fachuan Li

“…The current electric gas pressure regulator often adopts the conventional PID control algorithm to take drive control of the core part (micromotor) of electric gas pressure regulator. …”
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Accurate Maximum Power Point Tracking Algorithm Based on a Photovoltaic Device Model by Lhoussain El Bahir, Touria Hassboun

“…The implementation of the method needs an online measurement of irradiance, panel temperature, and panel current and voltage.…”
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Comprehensive Outlier Detection in Wireless Sensor Network with Fast Optimization Algorithm of Classification Model by Haiqing Yao, Heng Cao, Jin Li

“…Regarding the one-sided consideration of optimization or iterative updating algorithm for QSSVM model within current techniques, we have proposed comprehensive outlier detection methods in WSN based on the QSSVM algorithm. …”
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Classification Algorithm for Heterogeneous Network Data Streams Based on Big Data Active Learning by Lili Zhan

“…Data classification is one of the main tasks in the current data mining field, and the existing network data triage algorithms have problems such as too small a proportion of labeled samples, a large amount of noise, and redundant data, which lead to low classification accuracy of data stream implementation. …”
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Research on optimization of indoor positioning batch ranging system based on DS-TWR algorithm by Hongwei SUN, Xuehong CAO, Liangbao JIAO, Lin MENG, Ziheng LIU, Feng YUAN

“…Aiming at the current problems of the ultra wide band (UWB) indoor positioning system based on the double sided two-way ranging (DS-TWR) algorithm, there are more communication times and a higher conflict rate in a multi-tag environment, an improved algorithm was proposed.The Hash algorithm to hash and distribute the communication content between the tag and the anchor was used, so that the anchor could reply to multiple tags in a regular and unified manner during each ranging process, which greatly reduced the number of times the anchor sends RES (responds) data.Experimental results show that the improved algorithms’ communication times between a tag and the anchor were reduced by 15% compared with the traditional DS-TWR algorithm, which increases the time proportion of the anchor receiving state in ranging, thereby reducing the anchor receiving RNG (range) data.The collision rate of packets, the success rate of ranging has increased by 43.6%.Due to the reduction in the number of communications required in each positioning cycle and the reduction in the collision rate between data packets, a smaller channel capacity would be required, thereby increasing the label capacity of the positioning system, which has strong engineering significance.…”
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Research on intelligent semi-active control algorithms and seismic reliability based on machine learning by Zhongyuan Xiao, Jianguo Xu, Li Wang, Liang Huang

“…Abstract Aiming to address the shortcomings of existing semi-active control algorithms with poor robustness and the limited generalization ability of current evaluation methods based on deterministic analysis, a novel approach based on probability density evolution is proposed. …”
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Spatial and Temporal Correlations-Based Routing Algorithm in Intermittent Connectivity Human Social Network by Zhou Tao, Xu Hongbin, Liu Ming, Liu Nianbo, Gong Haigang

“…In this paper, we propose the idea of Trip History Model (THM) which establishes a model on a single person's mobility, and then a Spatial and Temporal Correlations-Based Routing Algorithm (STC) is proposed. In STC, the node delivery probability is calculated according to both a node's current moving prediction and its history record to give guidance for message transmission. …”
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Evaluation of College Students’ Emergency Response Capability Based on Questionnaire-TOPSIS Innovative Algorithm by Yanyan Liu, Wei Zhou, Yang Song

“…In this study, the evaluation of college students’ emergency response capability based on the questionnaire-TOPSIS innovative algorithm is conducted. Firstly, the questionnaire method is used to analyze the current situation of college students’ ability of emergency response, and then a comprehensive evaluation is made using the TOPSIS innovative algorithm. …”
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A survey of unsupervised domain adaptive semantic segmentation algorithms based on deep learning by Ying Junjie, Lou Lufei, Xin Yu

“…This article summarizes the cutting-edge progress of domain adaptive semantic segmentation algorithms and looks forward to future research directions.…”
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Prediction of drug target interaction based on under sampling strategy and random forest algorithm. by Feng Chen, Zhigang Zhao, Zheng Ren, Kun Lu, Yang Yu, Wenyan Wang

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Automatic motion recognition technology based on fuzzy clustering algorithm and VR video image by Ganbin Xu, Jianwei Lin

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A Memetic Differential Evolution Algorithm Based on Dynamic Preference for Constrained Optimization Problems by Ning Dong, Yuping Wang

“…The constrained optimization problem (COP) is converted into a biobjective optimization problem first, and then a new memetic differential evolution algorithm with dynamic preference is proposed for solving the converted problem. …”
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An Evidence-Based Multidisciplinary Approach to the Management of Hepatocellular Carcinoma (HCC): The Alberta HCC Algorithm by Kelly W Burak, Norman M Kneteman

“…The current review article presents an evidence-based approach to the multidisciplinary management of HCC along with a new algorithm for the management of HCC that incorporates the BCLC staging system and the authors’ local selection criteria for resection, ablative techniques, liver transplantation, transarterial chemoembolization, transarterial radioembolization and sorafenib in Alberta.…”
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Concept of Reference Diagnostics as the Foundation for Developing Diagnostic Algorithm to Support Doctor’s Decision-Making by M. A. Yakushin, A. V. Vorobeva, M. D. Vasiliev, A. P. Kudrin, T. I. Yakushina, O. Yu. Arseenkova

“…The article analyzes current conceptual approaches to developing algorithms for supporting doctor's decision-making process. …”
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Entropy-based dynamic ensemble classication algorithm for imbalanced data stream with concept drift. by JiaMing Gong, MingGang Dong

“…Online imbalanced learning is an emerging topic that combines the challenges of class imbalance and concept drift. However, current works account for issues of class imbalance and concept drift. …”
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Detection of Electrical Fires in Residential Buildings Using a Gradient Boosting Machine Algorithm by Sharaban Taha Ahmed, Fadhil Aula

“…The paper discusses a technique for detecting electrical fires in residential buildings using the Gradient Boosting Machine (GBM) algorithm. The features of the algorithm process data related to current, voltage, and total harmonic distortion (THD) from electrical systems, considering resistive loads, such as heating appliances, and inductive loads, like refrigerators and washing machines. …”
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Research on the optimization of mortar mix proportion based on neural network models and genetic algorithm by Chunyu Jiang

“…Therefore, intelligent mix optimization techniques have become a key focus of current research. This paper presents an optimization approach for mortar mix design based on a multi-output neural network model with a multi-head attention mechanism, combined with the genetic algorithm. …”
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Non-cooperative signal modulation recognition algorithm based on joint feature parameter extraction by Haifei SI, Xingliu HU, Zhen SHI, Shiyong LI

“…Aiming at the problem that in the current electromagnetic environment,the modulation method is complicated,the frequency-consuming equipment increases,the spectrum is congested,and the electromagnetic environment interference increases,the algorithm of OFDM signal detection and subcarrier identification in the background of non-cooperative communication were deeply studied.Using the different distribution states of OFDM signals and single carrier signals in the time domain,a joint characteristic parameter was proposed to solve the existence problem of OFDM in the received signal.For the phase shift and frequency offset problems caused by the channel transmission to the signal,by using the periodic stability the blind parameter estimation was performed to obtain the signal prior information.On the basis of the obtained signal prior information,a multi-level classification and recognition method for non-cooperative OFDM signal sub-carrier signals was proposed.Therefore,a model based on non-cooperative communication system OFDM signal detection and subcarrier modulation identification was designed,and finally modulation identification of unknown signals was completed.Simulation experiments show that in non-cooperative communication systems,OFDM signals and single-carrier signals can be accurately identified,and ideal modulation recognition effects can be achieved on empty subcarriers,QPSK,and 16QAM in the receiver OFDM signal subcarriers,overcoming the channel transmission band The problems of phase shift and frequency offset have improved the accuracy of modulation mode identification.…”
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Application effect of short-term traffic flow prediction method based on CNNBLSTM algorithm. by Guozhu Sui, Meixia Song, Ke Bian, Mingzhen Zhang, Xiaogang Zhang, Yiru Wang

“…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”
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Background Traffic-Based Retransmission Algorithm for Multimedia Streaming Transfer over Concurrent Multipaths by Yuanlong Cao, Changqiao Xu, Jianfeng Guan, Hongke Zhang

“…With function of distribute data across multipath end-to-end paths based on SCTP's multihoming feature, concurrent multipath transfer SCTP (CMT-SCTP) has been regarded as the most promising technology for the efficient multimedia streaming transmission. However, the current researches on CMT-SCTP mainly focus on the algorithms related to the data delivery performance while they seldom consider the background traffic factors. …”
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