Suggested Topics within your search.
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A computational enhancement of Base64 algorithm using Residue Number System algorithms
Published 2025-03-01“…Therefore, the research bridges the security gap in the Base64 cryptographic algorithm by factoring the key mechanism of the RNS based algorithm into the newly developed algorithm. …”
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A Navigation Algorithm Based on the Reinforcement Learning Reward System and Optimised with Genetic Algorithm
Published 2024-12-01“…Nevertheless, it is a technique with a high number of parameters that need to be optimised without prior information, and correctly performing this is a complicated task. In this research study, a system based on the principles of reinforcement learning, specifically on the concept of rewards, is presented. …”
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Research and Implementation of Secure Upgrade Method for Embedded Control Software
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Research on trajectory planning method for food sorting robot based on machine vision and improved BOA
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Research on the Transformer Failure Diagnosis Method Based on Fluorescence Spectroscopy Analysis and SBOA Optimized BPNN
Published 2025-04-01“…Then, the dimensionality reduction techniques of principal component analysis (PCA), kernel principal component analysis (KPCA), and multi-dimensional scale (MDS) are used for further processing. Based on various preprocessed and dimensionally reduced data, transformer failure diagnosis models based on the particle swarm optimization algorithm (PSO) and the secretary bird optimization algorithm (SBOA) optimized BPNN are established to quantitatively analyze the state of insulating oil and predict the durations of transformer failure. …”
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Research on new energy station network security assessment method based on improved LSTM network
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Convex Optimization and PV Inverter Control Strategy-Based Research on Active Distribution Networks
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Improved Firefly Algorithm Based on Heuristic Information
Published 2019-02-01“…Firefly Algorithm (FA) is an optimization algorithm based on swarm intelligence which mimics the social behavior of fireflies based on the flashing and attraction characteristics of fireflies With the aim to address the disadvantages of the firefly algorithm of slow convergence speed and ease of falling into the local optimum in the later period of the evolution process, the firefly algorithm is improved herein Two kinds of heuristic information are proposed into the algorithm to guide the convergence of the algorithm The first one takes the current global best as the heuristic information referencing the “global optimal” idea in particle swarm optimization, therefore, an algorithm called FAGO (Firefly Algorithm based on Global Optimization) is formed The second one is called FABE (Firefly Algorithm based on Bayesian Estimation) using the optimal moving direction calculated by Bayesian estimation as heuristic information The improved algorithms in this study are applied to numerical simulations of several classical test functions and compared with traditional FA and some other′s research are carried out The simulation results show that the proposed algorithms can well accelerate the convergence speed and improve the convergence accuracy…”
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Graph-Based Lexical Sentiment Propagation Algorithm
Published 2025-03-01“…The proposed ConGraCNet Sentiment Propagation algorithm uniquely combines existing sentiment dictionaries and corpus-based syntactic–semantic embedding graphs to reliably capture and propagate sentiment values in lexical networks. …”
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Automatic Block Selection for Synthesizing Texture Images using Genetic Algorithms
Published 2009-12-01Get full text
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