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  1. 401

    Optimal Design of Integrating Two‐Level Artificial Intelligent With Three Degrees of Freedom‐PDF (TLNF‐3DOFPDF) Controller for AGC of Three‐Area Multi‐Sources Power System... by Getaneh Mesfin Meseret, Rajesh Kumhar, Tarkesh Kumar Mahato, Nishant Kumar, Poonam Lakra, M. D. Mofeed Alam

    Published 2025-04-01
    “…This study investigates AGC performance in a multi‐area, multi‐source hydrothermal interconnected power system using a two‐level‐Neuro‐Fuzzy Three‐Degrees of Freedom‐Proportional‐Derivative controller with a low filter coefficient (TLNF‐3DOFPDF) as a secondary control mechanism. …”
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  2. 402
  3. 403

    Modified Diagnostic Criteria Tools for Familial Hypercholesterolemia without the Requirement for Clinical Genetic Testing: Rationale and Design of the MOOCS Adaptive Clinical Trial by Satyanarayana Upadhyayula

    Published 2024-10-01
    “…Various available FH diagnostic tools are grouped together in the FH diagnostic criteria tool universal algorithm. Background: The standard diagnostic criteria tools for FH require GT. …”
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    Article
  4. 404

    Enhancing precision flood mapping: Pahang's vulnerability unveiled. by Tahmina Afrose Keya, Siventhiran S Balakrishnan, Maheswaran Solayappan, Saravana Selvan Dheena Dhayalan, Sreeramanan Subramaniam, Low Jun An, Anthony Leela, Kevin Fernandez, Prahan Kumar, A Lokeshmaran, Abhijit Vinodrao Boratne, Mohd Tajuddin Abdullah

    Published 2024-01-01
    “…The objective of the research was to create a flood susceptibility map for the designated area by employing an Ensemble Machine Learning (EML) algorithm based on geographic information system (GIS). …”
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  14. 414

    Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

    Published 2020-12-01
    “…In contrast to linear and nonlinear algorithms extracted from different bands of satellite images, machine support learning techniques have recently been introduced to improve low-resolution soil moisture data from various satellites. …”
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  15. 415

    Separate DOD and DOA Estimation for Bistatic MIMO Radar by Lin Li, Fangfang Chen, Jisheng Dai

    Published 2016-01-01
    “…A novel MUSIC-type algorithm is derived in this paper for the direction of departure (DOD) and direction of arrival (DOA) estimation in a bistatic MIMO radar. …”
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  16. 416

    Research on high-precision localization method for transport robots in industrial environments based on Improved AMCL and QR code assistance by Siyu Chen, Tingping Feng, Xiangwen Luo, Junmin Li, Yang Luo, Yangxin Teng, Yao Peng, Simon X. Yang

    Published 2025-02-01
    “…Firstly, this article uses the Cartographer algorithm to fuse data from multiple sensors and improve map accuracy. …”
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    Article
  17. 417

    Array amplitude-phase and mutual coupling error joint correction method based on sparse Bayesian by Ding WANG, Weigang GAO, Zhidong WU

    Published 2022-09-01
    “…In the actual array direction finding system, there are often a variety of errors such as amplitude and phase, mutual coupling, which lead to serious deterioration of array direction finding performance.In order to solve the problem of array direction finding misalignment in the presence of low signal-to-noise ratio, small snapshots and multiple errors, the spatial sparsity of signals were introduced, and Bayesian sparse reconstruction technology was used to solve the passive correction and joint estimation of array signal azimuth in the presence of amplitude-phase and mutual coupling errors.The over-complete model of the received signal with error was constructed, and the posterior probability density function of the received signal was obtained.The EM algorithm was used to iteratively optimize the probability density function to solve the corresponding parameters.At the same time, the CRLB of array error and signal azimuth was derived, and by experimental simulation verifies the effectiveness of the proposed method.…”
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    Article
  18. 418

    Array amplitude-phase and mutual coupling error joint correction method based on sparse Bayesian by Ding WANG, Weigang GAO, Zhidong WU

    Published 2022-09-01
    “…In the actual array direction finding system, there are often a variety of errors such as amplitude and phase, mutual coupling, which lead to serious deterioration of array direction finding performance.In order to solve the problem of array direction finding misalignment in the presence of low signal-to-noise ratio, small snapshots and multiple errors, the spatial sparsity of signals were introduced, and Bayesian sparse reconstruction technology was used to solve the passive correction and joint estimation of array signal azimuth in the presence of amplitude-phase and mutual coupling errors.The over-complete model of the received signal with error was constructed, and the posterior probability density function of the received signal was obtained.The EM algorithm was used to iteratively optimize the probability density function to solve the corresponding parameters.At the same time, the CRLB of array error and signal azimuth was derived, and by experimental simulation verifies the effectiveness of the proposed method.…”
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    Article
  19. 419

    Particle Filter Tracking without Dynamics by Jaime Ortegon-Aguilar, Eduardo Bayro-Corrochano

    Published 2007-01-01
    “…The algorithm is able to track people in omnidirectional sequences with a low frame rate (one or two frames per second). …”
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  20. 420

    Height Measurement Method for Meter-Wave Multiple Input Multiple Output Radar Based on Transmitted Signals and Receive Filter Design by Cong Qin, Qin Zhang, Guimei Zheng, Xiaolong Fu, He Zheng

    Published 2025-01-01
    “…Simulation results show that the proposed algorithm can realize the height measurement of low-elevation targets. …”
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