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Research on sybil attack in defense blockchain based on improved PBFT algorithm
Published 2020-09-01“…Aiming at the problem that sybil attack has great harm to block chain technology,a method to improve the PBFT algorithm in the alliance chain to defend against sybil attacks was proposed.Firstly,using the idea of consensus algorithm based on proof of rights and interests,a reputation model was established,the reputation value of each node accorded to the behavior of each node in the consensus process was calculated,and different discourse rights accorded to the size of the reputation value was given.Then pre-commit phase was added to the PBFT algorithm to reduce the number of communication between nodes.The solution through formal analysis and reasoning and security testing shows that the improved PBFT algorithm can not only effectively defend against sybil attacks in the blockchain,but also make the performance of the blockchain system in terms of TPS and block generation delay.…”
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Application of Intelligent Fuzzy Decision Tree Algorithm in English Teaching Model Improvement
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Can machine-learning algorithms improve upon classical palaeoenvironmental reconstruction models?
Published 2024-10-01Get full text
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Network Security Perception System Integrating Improved CNN Algorithm and Improved GRU Algorithm
Published 2024-01-01“…Additionally, the gated recurrent unit is improved using an adaptive boosting algorithm. A novel network security-aware model integrating both methods is constructed. …”
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Parameter Sensitivity Analysis and Algorithm Improvement of Optimization Scheduling Model for Cascade Pumping Stations
Published 2024-01-01“…ObjectiveThe low operating efficiency, massive energy consumption and large carbon emissions often exist in the operation of cascade pumping stations. To improve the operational efficiency of cascade pumping stations and vigorously promote dual carbon construction, an optimization scheduling model for cascade pumping stations was established with the goal of minimizing carbon emissions, and the Runge Kutta algorithm (RUN) was introduced to solve the model. …”
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Improved FFT-based alpha-stable density approximation algorithm
Published 2007-01-01“…Approximation of density of α-stable process is an elementary works in modeling network flow using α-stable process.Combining the mathematical properties of characteristic function of α-stable process with the traditional approximating algorithm,an improved FFT-based algorithm was proposed.The improved algorithm has 2 noticeable features: automatically choosing the sampling space and sampling interval,importing frequency expansion.Experiments show that it can decrease calculation complexity and effectively control computation error.…”
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Diagnosis model for action problems of table tennis beginners based on improved DTW algorithm
Published 2025-12-01“…To enhance the skills of beginners, a diagnosis model for table tennis beginner movement problems based on sensors and an improved dynamic time-warping algorithm is proposed. …”
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Recognition algorithm of piano playing music notes based on improved hidden Markov model
Published 2025-09-01“…The recognition process of piano playing music notes is affected by low-frequency components, resulting in suboptimal features that affect recognition accuracy. Therefore, an improved hidden Markov model based recognition algorithm for piano playing music notes is proposed. …”
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Path Planning for Construction Robot Based on the Improved A* Algorithm and Building Information Modeling
Published 2025-02-01“…Finally, the improved A* algorithm is employed to perform path planning within the environment map generated from the BIM model, resulting in the generation of the optimal path. …”
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Face Detection Combining the YCbCr Skin Color Model with Improved Adaboost Algorithm
Published 2018-04-01“…The phenomenon,training degradation and over adapt the distribution of the training target weight,is suppressed by modifying the renewal of the weight. The improved Adaboost algorithm is used to detect the candidate region of the face,which can improve the detection speed. …”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization
Published 2025-01-01“…Recent advances in the field often involve hybrid methods that combine several algorithms to improve performance. This study introduces an improved Gravitational Search Algorithm, named CMACGSA, which incorporates the Cerebellar Model Articulation Controller (CMAC)-a neural network model-to enhance the performance of Gravitational Search Algorithm (GSA). …”
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An Improved Crayfish Algorithm-Based Neural Network Method for Modeling Microstrip Patch Antennas
Published 2025-01-01“…The improved algorithm was evaluated on standard test functions, demonstrating superior convergence speed and accuracy compared to other algorithms. …”
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A lightweight UAV target detection algorithm based on improved YOLOv8s model
Published 2025-05-01“…To tackle these challenges, this paper proposes LW-YOLOv8, a lightweight object detection algorithm based on the YOLOv8s model for UAV deployment. …”
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Credit Default Risk Measurement and Statistical Analysis Based on Improved GRU Model
Published 2025-02-01“…This study constructs a new credit default risk assessment model by improving the gated recurrent unit algorithm and introducing Focal Loss function and fuzzy clustering algorithm. …”
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PREDICTION OF TBM OIL TEMPERATURE BY IMPROVED CAMEL ALGORITHM ASSISTED RANDOM FOREST MODEL (MT)
Published 2023-01-01“…Secondly, the improved camel algorithm was used to optimize the parameters of the TBM oil temperature prediction model established by the random forest to obtain the best model. …”
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Lean technology principles improve management of medical organizations
Published 2021-03-01“…To develop a process model and an algorithm for managing the development of medical organizations. …”
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Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm
Published 2024-12-01“…The main method of the model is to improve the dense trajectory algorithm to enhance its recognition speed and accuracy for complex and small movements. …”
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