Showing 361 - 380 results of 568 for search 'maximum low algorithms', query time: 0.14s Refine Results
  1. 361

    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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    Article
  2. 362

    Benchmarking RCGAu on the Noiseless BBOB Testbed by Babatunde A. Sawyerr, Aderemi O. Adewumi, M. Montaz Ali

    Published 2015-01-01
    “…RCGAu is a hybrid real-coded genetic algorithm with “uniform random direction” search mechanism. …”
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    Article
  3. 363

    A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems by Badreddine Kanouni, Abd Essalam Badoud, Saad Mekhilef, Ahmed Elsanabary, Mohit Bajaj, Ievgen Zaitsev

    Published 2024-11-01
    “…Abstract This research study presents the application of the FC-PCC (Fuzzy Logic Predictive Current Control) algorithm in the context of maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system employing a three-level boost converter (TLBC). …”
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    Article
  4. 364
  5. 365

    Geoinformatics and Machine Learning for Shoreline Change Monitoring: A 35-Year Analysis of Coastal Erosion in the Upper Gulf of Thailand by Chakrit Chawalit, Wuttichai Boonpook, Asamaporn Sitthi, Kritanai Torsri, Daroonwan Kamthonkiat, Yumin Tan, Apised Suwansaard, Attawut Nardkulpat

    Published 2025-02-01
    “…This study analyzes 35 years (1988–2023) of shoreline changes using geoinformatics, machine learning algorithms (Random Forest, Support Vector Machine, Maximum Likelihood, Minimum Distance), and the Digital Shoreline Analysis System (DSAS). …”
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    Article
  6. 366

    Tensor RT optimized driver drowsiness detection system using edge device by Chandramohan Dhasarathan, Sambasivam Gnanasekaran, Arnab Pattanayak, Gourav Kumar, Kartik Vig, Vaibhav Narain, K.M. Deva Narayan, Sunidhi Garg

    Published 2025-10-01
    “…Through TensorRT optimization we were able to achieve maximum throughput of 683.923 frames/second (significant increase of 79.27%) and an accuracy of 98.19% (negligible decrease). …”
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    Article
  7. 367

    Non-destructive detection of internal quality of apple based on CT image by HUANG Taotao, SUN Teng, ZHANG Jingping

    Published 2013-01-01
    “…Then a regression model was set up between the CT numbers and the gray level values, which showed a good linear relationship with the R<sup>2</sup> reaching 0.970 8.In consideration of the results obtained by some image segmentation algorithms, Otsu (maximum between clusters variance method) was put into use. …”
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    Article
  8. 368

    A Novel Design and Analysis Adaptive Hybrid ANFIS MPPT Controller for PEMFC-Fed EV Systems by Ezzeddine Touti, Mouloud Aoudia, C. H. Hussaian Basha, Ibrahim Mohammed Alrougy

    Published 2024-01-01
    “…Due to this nonlinear behavior, the maximum power extraction from the fuel stack is quite difficult. …”
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    Article
  9. 369

    Improved Crack Detection and Recognition Based on Convolutional Neural Network by Keqin Chen, Amit Yadav, Asif Khan, Yixin Meng, Kun Zhu

    Published 2019-01-01
    “…Experimental results show that the Adam optimization algorithm and batch normalization (BN) algorithm can make the model converge faster and achieve the maximum accuracy of 99.71%.…”
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    Article
  10. 370

    Improved Hierarchical Convolutional Features for Robust Visual Object Tracking by Jinping Sun

    Published 2021-01-01
    “…The correlation filter algorithm based on manual features is difficult to meet the actual needs due to its limited feature representation ability. …”
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    Article
  11. 371

    Secure transmission for NOMA downlink based on short packet communication by Gangcan SUN, Shaoke ZHAO, Wanming HAO, Zhengyu ZHU

    Published 2021-02-01
    “…For the low-latency requirements of Internet of things (IoT) business, short packet communication (SPC) and non-orthogonal multiple access (NOMA) were combined to study the problem of secure transmission in the multi-user NOMA system with eavesdroppers.With the maximizing the secure throughput of weak uses as the objective, considering the user decoding error probability constraint, total power constraint and power allocation constraint, a low-complexity power allocation algorithm was proposed to realize secure transmission.In order to solve the problem caused by complex objective function formula and unreliable serial interference cancellation (SIC) technology, the proof that the compactness of the constraints was necessary to find the optimal solution.Under the constraint of maximum decoding error probability, the power constraint was transformed and calculated to obtain the strict limit of transmitting power for strong users, and the transmit power search set from base station to strong user was derived.Then, the one-dimensional search algorithm was used to allocate power resources to maximize the throughput of weak users.Simulation results prove that the proposed algorithm can effectively improve the security throughput of weak users in the system.…”
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    Article
  12. 372

    Secure transmission for NOMA downlink based on short packet communication by Gangcan SUN, Shaoke ZHAO, Wanming HAO, Zhengyu ZHU

    Published 2021-02-01
    “…For the low-latency requirements of Internet of things (IoT) business, short packet communication (SPC) and non-orthogonal multiple access (NOMA) were combined to study the problem of secure transmission in the multi-user NOMA system with eavesdroppers.With the maximizing the secure throughput of weak uses as the objective, considering the user decoding error probability constraint, total power constraint and power allocation constraint, a low-complexity power allocation algorithm was proposed to realize secure transmission.In order to solve the problem caused by complex objective function formula and unreliable serial interference cancellation (SIC) technology, the proof that the compactness of the constraints was necessary to find the optimal solution.Under the constraint of maximum decoding error probability, the power constraint was transformed and calculated to obtain the strict limit of transmitting power for strong users, and the transmit power search set from base station to strong user was derived.Then, the one-dimensional search algorithm was used to allocate power resources to maximize the throughput of weak users.Simulation results prove that the proposed algorithm can effectively improve the security throughput of weak users in the system.…”
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    Article
  13. 373

    Development of a multi-level feature fusion model for basketball player trajectory tracking by Tao Wang

    Published 2024-12-01
    “…The study first optimized the current object detection algorithm in basketball, utilized a hybrid attention mechanism to extract object features, and improved the non-maximum suppression strategy. …”
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    Article
  14. 374

    Subgrouping suicidal ideations: an ecological momentary assessment study in psychiatric inpatients by Stephanie Homan, Zachary Roman, Anja Ries, Prabhakaran Santhanam, Sofia Michel, Anna-Marie Bertram, Nina Klee, Carlo Berther, Sarina Blaser, Marion Gabi, Philipp Homan, Hanne Scheerer, Michael Colla, Stefan Vetter, Sebastian Olbrich, Erich Seifritz, Isaac Galatzer-Levy, Tobias Kowatsch, Urte Scholz, Birgit Kleim

    Published 2025-05-01
    “…Results Four distinct subgroups with unique SI patterns were identified: (1) “High SI, moderate variability” (high mean, medium variability, high maximum); (2) “Lowest SI, lowest variability” (lowest mean, lowest variability, lowest maximum); (3) “Low SI, moderate variability” (low mean, medium variability, high maximum); and (4) “Highest SI, highest variability” (highest mean, highest variability, highest maximum). …”
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  15. 375

    Study on intelligent height adjustment control method of shearer based on coal-rock interface recognition by Songyong LIU, Cheng CHENG, Hongzhuang WU, Yuming CUI, Deyuan MENG, Lei SI

    Published 2024-12-01
    “…A low-frequency impulse ultra-wideband (IR-UWB) electromagnetic wave radar is utilized, and the oblique projection operator based maximum likelihood like (OPMLL) method is employed for coal-rock interface identification. …”
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    Article
  16. 376

    Shot-noise-induced lower temperature limit of the nonneutral plasma parallel temperature diagnostic by Adrianne Zhong, Joel Fajans, Jonathan S. Wurtele

    Published 2024-12-01
    “…PhD thesis, 1990). Significantly, our algorithm may be used on single-count data, allowing for improved fits with low numbers of escaping electrons. …”
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  17. 377

    Sparse Representation of Deformable 3D Organs with Spherical Harmonics and Structured Dictionary by Dan Wang, Ahmed H. Tewfik, Yingchun Zhang, Yunhe Shen

    Published 2011-01-01
    “…This paper proposed a novel algorithm to sparsely represent a deformable surface (SRDS) with low dimensionality based on spherical harmonic decomposition (SHD) and orthogonal subspace pursuit (OSP). …”
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  18. 378

    Anti-Slip Control System with Self-Oscillation Suppression Function for the Electromechanical Drive of Wheeled Vehicles by Aleksandr V. Klimov, Akop V. Antonyan, Andrey V. Keller, Sergey S. Shadrin, Daria A. Makarova, Yury M. Furletov

    Published 2025-02-01
    “…The maximum values of current oscillation amplitude during algorithm changes were reduced by 2.5 times, while the current change rate was reduced by 3 times. …”
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  19. 379

    Pneumatic Compliant End-effector Using Multi-compensation Integrated Nonlinear Active Disturbance Rejection Control by ZHANG Shuzhong, WU Qianxin, DAI Fuquan, WANG Yabing, ZHANG Gong

    Published 2025-05-01
    “…LuGre model parameters are fitted, and a compensation strategy is developed to offset frictional disturbances during piston movement.Data filtering: A first-order low-pass filter is integrated into the controller to reduce high-frequency noise in the force sensor readings and enhance control accuracy.The control algorithm is implemented on an STM32F103 microcontroller operating at 50 Hz. …”
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    Article
  20. 380

    An Optimal Adaptive Control of DC-Microgrid with the Aim of Accurate Current Sharing and Voltage Regulation According to the Load Variation and Gray-Wolf Optimization by Muhammad Hammad Saeed, Sajid Iqbal, Madni Sohail, Usman Akram

    Published 2023-09-01
    “…When the load in the microgrid is low, the output current is lower than the maximum limit and so current sharing is not a difficult challenge. …”
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    Article