Showing 221 - 240 results of 2,858 for search 'role based algorithm', query time: 0.17s Refine Results
  1. 221
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    A systematic performance comparison of two Smooth Pursuit detection algorithms in Virtual Reality depending on target number, distance, and movement patterns by Sarah Christin Freytag, Michelle Kamps, Roland Zechner

    Published 2023-05-01
    “… We compared the performance of two smooth-pursuit-based object selection algorithms in Virtual Reality (VR). …”
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    Article
  3. 223

    Sap flow simulation of Cunninghamia lanceolata in degraded red soil region based on back propagation neural network by Tu Jie, Liu Qijing, Wei Jun, Hu Liang

    Published 2015-03-01
    “…Four main factors including air temperature, relative air humidity, average net radiation and vapor pressure deficit were chosen as the input variables, and the sap flow velocity was selected as the output variable, to train and examine the neural network model with Bayesian regularization algorithm and Levenberg-Marquardt algorithm. The optimum network model of C. lanceolata sap flow velocity was built with the topological structure of 4-10-1.Based on Bayesian regularization algorithm and Levenberg-Marquardt algorithm, good fitting results were obtained from the linear regression between predictive and measured values, with correlation coefficients both higher than 0.93. …”
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  4. 224

    Classification of Wetlands in the Liaohe Estuary Based on MRMR-RF-CV Feature Preference of Multisource Remote Sensing Images by Lina Ke, Shilin Zhang, Yao Lu, Nan Lei, Changkun Yin, Qin Tan, Lei Wang, Daqi Liu, Quanming Wang

    Published 2025-01-01
    “…Coastal wetland ecosystems, shaped by the interaction between ocean and land, play a pivotal role in blue carbon sequestration. Understanding the distribution and evolutionary patterns of complex wetland types is essential for advancing wetland conservation, exploring blue carbon potentials, and supporting national carbon neutrality goals. …”
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  5. 225

    Radio direction finding system based on spatial spectrum estimation by Xubin CHEN, Peiming REN, Huiling DAI

    Published 2017-07-01
    “…The direction finding technology based on spatial spectrum estimation is widely used due to its’ ultra-high resolution,high sensitivity,high accuracy and plays a leading role in radio management.Based on the theoretical study of spatial spectrum estimation,the algorithm was put forward and the algorithm was simulated.Finally,the practicability and superiority of the spatial spectrum estimation system were demonstrated.…”
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  6. 226

    Radio direction finding system based on spatial spectrum estimation by Xubin CHEN, Peiming REN, Huiling DAI

    Published 2017-07-01
    “…The direction finding technology based on spatial spectrum estimation is widely used due to its’ ultra-high resolution,high sensitivity,high accuracy and plays a leading role in radio management.Based on the theoretical study of spatial spectrum estimation,the algorithm was put forward and the algorithm was simulated.Finally,the practicability and superiority of the spatial spectrum estimation system were demonstrated.…”
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    Article
  7. 227

    EM-based blind LDPC identification in multipath channels by Yu LIU, Fanggang WANG, Jingwen ZHANG, Bo AI, Zhangdui ZHONG

    Published 2018-09-01
    “…As the advent of cognitive radios,blind encoder identification has attracted increasingly attentions since it plays an important role.The existing works mainly focus on additive white Gaussian noise (AWGN) channel,while the blind identification in multipath scenarios has not been sufficiently investigated.Considering the blind low density parity-check (LDPC) codes identification in the presence of unknown multipath fading channel,a likelihood-based classifier was proposed using the expectation maximization (EM) algorithm to obtain the maximum likelihood estimates of the unknown parameters.Then,an average log-likelihood ratio (LLR) estimator was adopted to classify the unknown encoder.Numerical results show that the proposed algorithm provides promising identification performance in multipath channels,especially in the low signal-to-noise ratio region.…”
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  8. 228

    Research on Multi-objective Shielding Intelligent Optimization Method Based on Non-dominated Sorting Genetic Algorithm NSGA-Ⅲ by WANG Mengqi, ZHENG Zheng, MEI Qiliang, PENG Chao, GAO Jing, ZHOU Yan

    Published 2025-02-01
    “…This study is dedicated to exploring an advanced intelligent multi-objective shielding optimization method based on the third generation non-dominated sorting genetic algorithm (NSGA-Ⅲ). …”
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    Modeling emotional abuse based on emotional maturity and self-differentiation with the mediating role of marital intimacy by mehran sharifi, qumarth karimi, omid moradi, shokooh navabinejad

    Published 2024-06-01
    “…Aims: The aim of the present study was to determine the pattern of structural relationships of emotional abuse based on emotional maturity and self-differentiation with the mediation role of marital intimacy. …”
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  11. 231

    The investigation of reinforcement learning-based end-to-end decision-making algorithms for autonomous driving on the road with consecutive sharp turns by Tongyang Li, Jiageng Ruan, Kaixuan Zhang

    Published 2025-06-01
    “…In addition, a novel reward-setting method that combines the states of the environment and the vehicle is proposed to solve the sparse reward problem in the reward-guided algorithm. Simulation results from the road with consecutive sharp turns show that the DDPG, SAC, and TD3 algorithms-based vehicles take 367.2, 359.6, and 302.1 ​s to finish the task, respectively, which match the training results, and verifies the observation variable role in agent quality improvement.…”
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    COPSA: a computation offloading strategy based on PPO algorithm and self-attention mechanism in MEC-empowered smart factories by Yining Chen, Kai Peng, Chengfang Ling

    Published 2024-11-01
    “…Accordingly, we devise a novel approach based on Proximal Policy Optimization algorithm with the Self-Attention Mechanism to implement computing resource allocation in MEC-Empowered Smart Factories. …”
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    A Lightweight and Small Sample Bearing Fault Diagnosis Algorithm Based on Probabilistic Decoupling Knowledge Distillation and Meta-Learning by Hao Luo, Tongli Ren, Ying Zhang, Li Zhang

    Published 2024-12-01
    “…Traditional deep learning-based bearing fault diagnosis algorithms rely on large amounts of training data; training and inference processes consume significant computational resources. …”
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    Assessing carbon–neutral supercapacitors in renewable energy systems with self-improving agent-based molecular fuzzy intelligent algorithms by Oscar Castillo, Hasan Dinçer, Serkan Yüksel, Serkan Eti

    Published 2025-08-01
    “…The proposed model includes the integrated use of Entropy-game-based expert weighting method, Q-learning algorithm, molecular fuzzy intelligence algorithms, Bayesian network-based weighting (BANEW) and ant colony optimization (ACO) techniques. …”
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  20. 240

    Optimal design of 10‐bit single‐slope ADC for CMOS image sensor based on swarm intelligent optimization algorithm by Yan‐Hua Ma, Ji‐Tong Li, Ming Zhu, Yu‐Chun Chang

    Published 2021-11-01
    “…Here, an optimal design methodology based on an improved artificial fish swarm optimization algorithm (IAFSOA) is proposed for a 10‐bit SS ADC in CIS. …”
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