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3241
Resource Optimization Technology Using Genetic Algorithm in UAV-Assisted Edge Computing Environment
Published 2022-01-01“…As fixed edge computing systems can hardly meet the demand of mobile users for massive data processing, a computational resource allocation strategy using the genetic algorithm in UAV-assisted edge computing environment is proposed. …”
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3242
Reversible data hiding algorithm in encrypted images based on prediction error and bitplane coding
Published 2023-12-01“…With the increasing use of cloud backup methods for storing important files, the demand for privacy protection has also grown.Reversible data hiding in encrypted images (RDHEI) is an important technology in the field of information security that allows embedding secret information in encrypted images while ensuring error-free extraction of the secret information and lossless recovery of the original plaintext image.This technology not only enhances image security but also enables efficient transmission of sensitive information over networks.Its application in cloud environments for user privacy protection has attracted significant attention from researchers.A reversible data hiding method in encrypted images based on prediction error and bitplane coding was proposed to improve the embedding rate of existing RDHEI algorithms.Different encoding methods were employed by the algorithm depending on the distribution of the bitplanes, resulting in the creation of additional space in the image.The image was rearranged to allocate the freed-up space to the lower-order planes.Following this, a random matrix was generated using a key to encrypt the image, ensuring image security.Finally, the information was embedded into the reserved space.The information can be extracted and the image recovered by the receiver using different keys.The proposed algorithm achieves a higher embedding rate compared to five state-of-the-art RDHEI algorithms.The average embedding rates on BOWS-2, BOSSBase, and UCID datasets are 3.769 bit/pixel, 3.874 bit/pixel, and 3.148 bit/pixel respectively, which represent an improvement of 12.5%, 6.9% and 8.6% compared to the best-performing algorithms in the same category.Experimental results demonstrate that the proposed algorithm effectively utilizes the redundancy of images and significantly improves the embedding rate.…”
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3243
Refinement of an Algorithm to Detect and Predict Freezing of Gait in Parkinson Disease Using Wearable Sensors
Published 2024-12-01“…Wearable sensors used in conjunction with specialized algorithms, such as our group’s pFOG algorithm, provide objective data to better understand this phenomenon. …”
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3244
Multipass Turning Operation Process Optimization Using Hybrid Genetic Simulated Annealing Algorithm
Published 2017-01-01“…Finally, different results obtained by various optimization algorithms are compared to the obtained solution and the proposed hybrid evolutionary technique optimization has proved its effectiveness over other algorithms.…”
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3245
Optimization Design of Heavy Type Vehicle Wet Clutch based on Improved Metropolis Algorithm
Published 2015-01-01“…Through the adaptive function transformation to determine initial temperature,combining with the success- failure method and the variable metric method,the traditional Metropolis algorithm is improved,and the improved method is applied to the optimization design of wet clutch of heavy type vehicle.Finally,the model after optimization are verified by the theoretical and experimental.…”
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3246
Optimization of Zoom Lens with Discrete State of Liquid Lens Elements by Using Genetic Algorithm
Published 2015-01-01“…This paper is to employ liquid lens elements to design a lens with zoom function by using the genetic algorithm (GA) optimization. The liquid lens elements used in the proposal can apply voltage adjustment to generate the electrical field that induces the liquid with electric conductivity to vary the surface curvature between two different kinds of liquids. …”
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3247
A deep learning based detection algorithm for anomalous behavior and anomalous item on buses
Published 2025-01-01“…Then, a new mask detection and abnormal object detection and analysis (MD-AODA) algorithm is proposed. The algorithm is based on the deep learning YOLOv5 (You Only Look Once) algorithm with improvements. …”
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3248
Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things
Published 2022-09-01“…In order to reduce the total energy consumption of industrial internet of things systems with deadline requirements, a computing offloading scheme based on Sarsa algorithm was proposed.Based on the characteristics of Sarsa algorithm, the energy consumption optimization problem was coupled.The Sarsa algorithm iterated the external state value function, selected the appropriate edge computing server to offload the computing task, and then the particle swarm optimization algorithm solved the resource allocation problem.Finally, the environmental information was updated for the next round of algorithm iteration until the algorithm met the end conditions.The simulation results show that this scheme has faster convergence speed and effectively reduces the system energy consumption.…”
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3249
A dehazing and enhancement algorithm for heterogeneous images of underground mining environments in coal mines
Published 2025-01-01“…The processing results of these algorithms were those of the proposed algorithm based on multiple indicators. …”
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3250
Wavelet transform algorithm of daily load graphs for choosing parameters of hybrid energy storage
Published 2020-12-01“…The paper presents an algorithm for frequency decomposition of daily load graphs based on a discrete wavelet transform. …”
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3251
Robust identification for input non‐uniformly sampled Wiener model by the expectation‐maximisation algorithm
Published 2022-05-01Subjects: Get full text
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3252
A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model
Published 2013-08-01Get full text
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3253
SOC and SOH Prediction of Lithium‐Ion Batteries Based on LSTM–AUKF Joint Algorithm
Published 2025-01-01“…To improve accuracy, various factors such as temperature and internal resistance were considered. The algorithm was validated through hardware and simulation experiments, with experimental data compared to estimation results to demonstrate its precision. …”
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3254
Deep Learning Image Feature Recognition Algorithm for Judgment on the Rationality of Landscape Planning and Design
Published 2021-01-01“…This paper uses an improved deep learning algorithm to judge the rationality of the design of landscape image feature recognition. …”
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3255
A GA-BP neural network algorithm for fault detection of transmission tower bolts
Published 2025-02-01Subjects: “…GA-BP neural network algorithm…”
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3256
Micro-station sleeping algorithm based on coverage area priority in 5G network
Published 2022-07-01“…With the maturity of 5G mobile communication technology and the rapid growth of the number of mobile terminals, the problem of intensive energy consumption of 5G wireless communication system base stations is prominent.A micro base station area hierarchical sleep algorithm was proposed.Considering the impact of micro base station load, inter station distance and inter layer cooperation on micro base station sleep, the transitions number of the micro base station in the overlapping coverage area between macro base stations is less, and the priority sleep operation has a good energy-saving effect.The simulation result shows that the energy-saving rate is 23%, which can adapt to different network sizes, and the energy-saving effect is better in large-scale networks.…”
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3257
An Evolutionary Learning Whale Optimization Algorithm for Disassembly and Assembly Hybrid Line Balancing Problems
Published 2025-01-01Subjects: “…discrete whale optimization algorithm…”
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3258
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3259
Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema
Published 2025-02-01Get full text
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3260
A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique
Published 2014-01-01“…However, conventional clustering algorithms are not practical for time series data because they are essentially designed for static data. …”
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