5G-Practical Byzantine Fault Tolerance: An Improved PBFT Consensus Algorithm for the 5G Network by Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng

“…With the development of 5G network technology, its features of high bandwidth, low latency, and high reliability provide a new approach for consensus algorithm optimization. To take advantage of the features of the 5G network, this paper proposes 5G-PBFT, which is an improved practical Byzantine fault-tolerant consensus algorithm with three ways to improve PBFT. …”
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Design of Intelligent Firefighting and Smart Escape Route Planning System Based on Improved Ant Colony Algorithm by Nan Li, Zhuoyong Shi, Jiahui Jin, Jiahao Feng, Anli Zhang, Meng Xie, Liang Min, Yunfang Zhao, Yuming Lei

“…Capitalizing on the acquired fire situational awareness, a propagation model for fire spreading is developed. An enhanced ant colony algorithm is then deployed to calculate and plan escape routes by introducing a fire spread model to enhance the accuracy of escape route planning and incorporating the A* algorithm to improve the convergence speed of the ant colony algorithm. …”
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An Improved Satellite ISAL Imaging Vibration Phase Compensation Algorithm Based on Prior Information and Adaptive Windowing by Chenxuan Duan, Hongyuan Liu, Xiaona Wu, Jian Tang, Zhejun Feng, Changqing Cao

“…Compared to conventional algorithms, this algorithm utilizes prior information to improve estimation accuracy while significantly reducing computational complexity. …”
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Network heterogeneous information integrated management system based on improved RNN multi-source fusion algorithm by LI Lin, WANG Wei

“…The article adopted the wild horse optimizer (WHO) algorithm to improve the recurrent neural network (RNN) and designed a multi-source heterogeneous data fusion model. …”
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YOLOv8-DBW: An Improved YOLOv8-Based Algorithm for Maize Leaf Diseases and Pests Detection by Xiang Gan, Shukun Cao, Jin Wang, Yu Wang, Xu Hou

“…To solve the challenges of low detection accuracy of maize pests and diseases, complex detection models, and difficulty in deployment on mobile or embedded devices, an improved YOLOv8 algorithm was proposed. …”
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An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms by Yanbin Weng, Jie Yang, Changfan Zhang, Jing He, Cheng Peng, Lin Jia, Hui Xiang

“…In response to these problems, this paper presents a lightweight algorithm DA-DeepLabv3 + based on densely connected and attention mechanisms. …”
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Multi-target personnel tracking algorithm for coal mine based on improved YOLOv7 and ByteTrack by Pengcheng QU, Jingzhao LI, Zechao LIU

“…Then, the CBAM attention mechanism was introduced into Neck to improve the feature perception ability of the model in complex scenes. …”
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Retracted: Research on the Gas Emission Quantity Prediction Model of Improved Artificial Bee Colony Algorithm and Weighted Least Squares Support Vector Machine (IABC-WLSSVM) by Applied Bionics and Biomechanics

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Real-Time Optimization Improved Model Predictive Control Trajectory Tracking for a Surface and Underwater Joint Observation System Based on Genetic Algorithm–Fuzzy Control by Qichao Wu, Yunli Nie, Shengli Wang, Shihao Zhang, Tianze Wang, Yizhe Huang

“…Aiming at the high-precision trajectory tracking problem of the new surface and underwater joint observation system (SUJOS) in the ocean remote sensing monitoring mission under complex sea conditions, especially at the problem of excessive tracking errors and slow convergence of actual trajectory oscillations caused by the wide range of angular changes in the motion trajectory, a real-time optimization improved model predictive control (IMPC) trajectory tracking method based on fuzzy control is proposed. …”
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An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis by Yao Zhang, Xu Wang, Haohua Xiu, Wei Chen, Yongxin Ma, Guowu Wei, Lei Ren, Luquan Ren

“…To overcome the challenges posed by the complex structure and large parameter requirements of existing classification models, the authors propose an improved extreme learning machine (ELM) classifier for human locomotion intent recognition in this study, resulting in enhanced classification accuracy. …”
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Ultra-Short-Term Wind Power Forecasting Based on the MSADBO-LSTM Model by Ziquan Zhao, Jing Bai

“…Incorporating an improved Sine Algorithm (MSA) into the forecasting model for this nonlinear problem significantly improves the position update strategy of the Dung Beetle Optimization Algorithm (DBO), which tends to be overly random and prone to local optima. …”
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An Energy Coordination Strategy for Island DC Microgrid With Photovoltaic and Storage System Based on Improved Consensus Algorithm by Yu DING, Aiqing YU, Chun GAO

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Research on intelligent detection method of new energy vehicle power battery based on improved ViBe algorithm by Lei Gu

“…Aims: This study enhances foreground detection accuracy by addressing ghosting issues in the ViBe algorithm and improving the battery pack state detection system for new energy vehicles. …”
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An Improved Robust Filtering Recursive Algorithm for Stochastic Uncertain Vehicle INS/OD Systems With Anomalous Measurements by Shuang Pan, Chao Wang, Chunlei Zhang, Linping Feng

“…The main contributions of this study can be summarized as: 1) Incremental odometer measurement model is proposed for INS/OD integrated navigation system to solve the problem of calculation of abnormal odometer information. 2) Robust filter recursive algorithm for stochastic uncertain system with outlier measurements caused by vehicle’s slipping and skidding is proposed to improve the robustness of the INS/OD integrated navigation system. …”
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Improving heat exchanger fouling detection for phosphoric acid concentration units: A hybrid inverse approach integrating genetic algorithms and the Levenberg-Marquardt technique by Ridha Zitouni, Ali Fguiri, Amine Aymen Assadi, Mohammod Hafizur Rahman, Abdetif Amrane, Juan Pedro Solano, Mohamed-Razak Jeday

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Classification and recognition method of dangerous behaviors of electric power operators based on improved OpenPose algorithm by Ningtao Liu, Jie Du, Shiliang Chang, Ke Zheng, Ji Xiao, Jiaming Zhang, Shishun Tan

“…Abstract To achieve intelligent identification of dangerous behaviors of electric power workers in complex environment, a classification and identification method based on improved OpenPose algorithm is proposed. The GSP-Darknet network is used to enhance the extraction of key points of small bones, and the missing joint coordinates are filled in by the average values of adjacent frames. …”
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Improved Cluster Intelligent and Complex Optimization Algorithm for Power Equipment CAD-Assisted Intelligent Operation and Maintenance by Yinguan Song, Yu Zou, Yifeng Su, Ming Wang, Zhenjun Xie, Henglong Chen, Zhongqing Sang

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Improved Slime-Mould-Algorithm with Fitness Distance Balance-based Guiding Mechanism for Global Optimization Problems by Enes Cengiz, Mehmet Fatih Işık, Hamdi Kahraman, Cemal Yılmaz, Çağrı Suiçmez

“…In this study, the performance of Slime-Mould-Algorithm (SMA), a current Meta-Heuristic Search algorithm, is improved. …”
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Research on Pedestrian Avoidance Behavior for School Section Based on Improved BP Neural Network and XGboost Algorithm by Guiliang Lu, Mingwei Liu

“…We independently apply three predictive models: the traditional BP (Backpropagation) neural network, an improved GA-BP(genetic algorithm–backpropagation) neural network, and the XGBoost (Extreme Gradient Boosting) ensemble learning method. …”
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Optimization of longitudinal impedance protection for hybrid cascaded HVDC transmission under improved Bhattacharyya distance algorithm by WANG Shuzheng, LI Peilin, YANG Junwei, ZHANG Jinhua, SHI Yuan, LIU Kangli

“…To enhance the robustness of longitudinal protection in LCC-MMC hybrid cascaded HVDC transmission systems, a longitudinal protection scheme of HVDC transmission based on longitudinal impedance and improved Bhattacharyya distance algorithm was proposed. …”
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