Výsledky vyhledávání - "Gradient-descent algorithm"

Vision Transformer With Adversarial Indicator Token Against Adversarial Attacks in Radio Signal Classifications

Autoři: Lu Zhang Sangarapillai Lambotharan Gan Zheng a další

Zdroj: IEEE Internet of Things Journal. 12:35367-35379

Témata: Machine Learning, FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Cryptography and Security, adversarial attacks, adversarial indicator token, adversarial training, basic iterative method, fast gradient method, projected gradient descent algorithm, vision transformer, Cryptography and Security (cs.CR), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2507.00015
https://cronfa.swan.ac.uk/Record/cronfa69947/Download/69947__34741__f2a76c739d7d4e419abe107b198b5df8.pdf
https://hdl.handle.net/11567/1260756
https://doi.org/10.1109/JIOT.2025.3580194

Facial Expression Recognition and Digital Images Infosecurity for Prevention Care System Application in Sudden Infant Death Syndrome Monitoring

Autoři: Chih-Te Tsai Chia-Hung Lin Hsiang-Yueh Lai a další

Zdroj: IEEE Access, Vol 13, Pp 80559-80575 (2025)

Témata: YOLOv10, Sudden infant death syndrome (SIDS), image infosecurity, facial expressions recognition (FER), Electrical engineering. Electronics. Nuclear engineering, stochastic gradient descent algorithm, symmetric advanced encryption standard (SAES), TK1-9971

Přístupová URL adresa: https://doaj.org/article/22658658b80d447b9ed9e3e6c81b09c1

A Hierarchical Inverse Lithography Method Considering the Optimization and Manufacturability Limit by Gradient Descent

Autoři: Haifeng Sun Qingyan Zhang Jie Zhou a další

Zdroj: Micromachines (Basel)
Micromachines, Vol 16, Iss 7, p 798 (2025)

Témata: resolution layering method, TJ1-1570, inverse lithography technology, Mechanical engineering and machinery, Article, gradient descent algorithm

Přístupová URL adresa: https://doaj.org/article/c35d9a75c8384b76b24570af5317e051

Estimation and analysis of vegetation parameters for the water cloud model

Autoři: Xiangdong Qin Zhiguo Pang Jingxuan Lu

Zdroj: River, Vol 3, Iss 4, Pp 399-407 (2024)

Témata: River, lake, and water-supply engineering (General), TC401-506, objective function, 0211 other engineering and technologies, backscattering coefficient, water cloud model, GC1-1581, 02 engineering and technology, soil moisture, Oceanography, 01 natural sciences, gradient descent algorithm, 0105 earth and related environmental sciences

Přístupová URL adresa: https://doaj.org/article/2edd4e5f2df0429dbd23fbbe2c6cb978

A Lightweight ANN Controller for Grid-Tied Inverters With Strong Adaptability

Autoři: Kaizhe Nie Feng Gao Yu Jiang

Zdroj: IEEE Open Journal of Power Electronics, Vol 6, Pp 1803-1814 (2025)

Témata: Artificial neural network, adaptive operation, gradient descent algorithm, grid-tied inverter, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11197260/; https://doaj.org/toc/2644-1314

Přístupová URL adresa: https://doaj.org/article/42374a7060a44bb99c564900ede1ad46

Polynomial convergence of iterations of certain random operators in Hilbert space

Autoři: Soumyadip Ghosh Yingdong Lu Tomasz Nowicki

Zdroj: Journal of Applied Analysis. 30:239-249

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, random operators, polynomial convergence, 01 natural sciences, Functional Analysis (math.FA), Machine Learning (cs.LG), Mathematics - Functional Analysis, 46N10, 47B80, 60B10, FOS: Mathematics, Applications of operator theory in optimization, convex analysis, mathematical programming, economics, Convergence of probability measures, 0101 mathematics, Random linear operators, stochastic gradient descent algorithm

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2202.02266
https://zbmath.org/7959838
https://doi.org/10.1515/jaa-2023-0115

Gradient Descent-Based Parameter Estimation for Ultra Short Baseline

Autoři: Yongcheol Kim Haklim Ko Hojun Lee

Zdroj: IEEE Access, Vol 12, Pp 174713-174722 (2024)

Témata: Gradient descent algorithm, underwater sensor networks, source localization, ultra short baseline (USBL), Electrical engineering. Electronics. Nuclear engineering, pseudorange, TK1-9971

Přístupová URL adresa: https://doaj.org/article/18a7330e6e61445686c21b477fb5ec14

Accelerated Gradient Descent Algorithm for Systems With Missing Input Data Using Inverse Auxiliary Model

Autoři: Yongqiang Zhu

Zdroj: IEEE Access, Vol 12, Pp 115006-115014 (2024)

Témata: Aitken method, convergence rate, missing input data, fractional gradient descent algorithm, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, System identification, TK1-9971

Přístupová URL adresa: https://doaj.org/article/8c5946f2c8434d5b86678cae5dd4db9c

Performance analysis of permanent magnet synchronous motor based on transfer function model using PID controller tuned by Ziegler-Nichols method

Autoři: V Ramanaiah Nippatla Srihari Mandava

Zdroj: Results in Engineering, Vol 26, Iss , Pp 105460- (2025)

Témata: Gradient Descent algorithm, Field Oriented Control, Proportional Integral and Derivative controller, Permanent Magnet Synchronous Motor, Ziegler-Nichols tuning method, Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025015300; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/b0235f0074d2439fbef7acacd5d8848e

Performance Analysis of an Optical System for FSO Communications Utilizing Combined Stochastic Gradient Descent Optimization Algorithm

Autoři: Ilya Galaktionov Vladimir Toporovsky

Zdroj: Applied System Innovation, Vol 8, Iss 5, p 143 (2025)

Témata: stochastic algorithm, gradient descent algorithm, free-space optics communications, Technology, Applied mathematics. Quantitative methods, T57-57.97

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2571-5577/8/5/143; https://doaj.org/toc/2571-5577

Přístupová URL adresa: https://doaj.org/article/20554bade6074c0cba292afa68a63248

Design of Multi-Task Parallel Model Based on Fuzzy Neural Networks and Joint Gradient Descent Algorithm

Autoři: Xiaolong Wu Yan Zhao Yanxia Yang

Zdroj: Applied Sciences, Vol 15, Iss 19, p 10386 (2025)

Témata: multi-task parallel model, fuzzy neural networks, joint gradient descent algorithm, adaptive learning rate strategy, nonlinear systems modeling, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/19/10386; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/2df5745f6091414eb7f6ed9711d96f6d

Operable MATLAB Code.

Autoři: Weizheng Jiang Dongqin Li Chun Liu

Témata: Neuroscience, Science Policy, Mental Health, Hematology, Biological Sciences not elsewhere classified, yet empirical research, offer practical guidance, identifying key drivers, gradient descent algorithm, different cognitive levels, area remains limited, action review method, +human%22">xlink "> human, cognitive taxonomy trust, understanding trust, understanding dimensions, transparency dimension, theoretical foundation, multidimensional trust, interactive mechanisms, interactive effects, insights provide, inhibitive influences, inhibitive effects, industry partnerships, findings reveal, dual effect, collected data

Relation: https://figshare.com/articles/journal_contribution/Operable_MATLAB_Code_/29461810

Dostupnost: https://doi.org/10.1371/journal.pone.0326558.s006
https://figshare.com/articles/journal_contribution/Operable_MATLAB_Code_/29461810

Regression results for 100 experiments with parameter tuning (learning rate: 0.01, iterations: 1000).

Autoři: Weizheng Jiang Dongqin Li Chun Liu

Témata: Neuroscience, Science Policy, Mental Health, Hematology, Biological Sciences not elsewhere classified, yet empirical research, offer practical guidance, identifying key drivers, gradient descent algorithm, different cognitive levels, area remains limited, action review method, +human%22">xlink "> human, cognitive taxonomy trust, understanding trust, understanding dimensions, transparency dimension, theoretical foundation, multidimensional trust, interactive mechanisms, interactive effects, insights provide, inhibitive influences, inhibitive effects, industry partnerships, findings reveal, dual effect, collected data

Relation: https://figshare.com/articles/journal_contribution/Regression_results_for_100_experiments_with_parameter_tuning_learning_rate_0_01_iterations_1000_/29461804

Dostupnost: https://doi.org/10.1371/journal.pone.0326558.s004
https://figshare.com/articles/journal_contribution/Regression_results_for_100_experiments_with_parameter_tuning_learning_rate_0_01_iterations_1000_/29461804

Quantitative cognitive.

Autoři: Weizheng Jiang Dongqin Li Chun Liu

Témata: Neuroscience, Science Policy, Mental Health, Hematology, Biological Sciences not elsewhere classified, yet empirical research, offer practical guidance, identifying key drivers, gradient descent algorithm, different cognitive levels, area remains limited, action review method, +human%22">xlink "> human, cognitive taxonomy trust, understanding trust, understanding dimensions, transparency dimension, theoretical foundation, multidimensional trust, interactive mechanisms, interactive effects, insights provide, inhibitive influences, inhibitive effects, industry partnerships, findings reveal, dual effect, collected data

Relation: https://figshare.com/articles/journal_contribution/Quantitative_cognitive_/29461801

Dostupnost: https://doi.org/10.1371/journal.pone.0326558.s003
https://figshare.com/articles/journal_contribution/Quantitative_cognitive_/29461801

Reliability, validity, and convergence analysis of Trust in AI questionnaire items.

Autoři: Weizheng Jiang Dongqin Li Chun Liu

Témata: Neuroscience, Science Policy, Mental Health, Hematology, Biological Sciences not elsewhere classified, yet empirical research, offer practical guidance, identifying key drivers, gradient descent algorithm, different cognitive levels, area remains limited, action review method, +human%22">xlink "> human, cognitive taxonomy trust, understanding trust, understanding dimensions, transparency dimension, theoretical foundation, multidimensional trust, interactive mechanisms, interactive effects, insights provide, inhibitive influences, inhibitive effects, industry partnerships, findings reveal, dual effect, collected data

Relation: https://figshare.com/articles/journal_contribution/Reliability_validity_and_convergence_analysis_of_Trust_in_AI_questionnaire_items_/29461798

Dostupnost: https://doi.org/10.1371/journal.pone.0326558.s002
https://figshare.com/articles/journal_contribution/Reliability_validity_and_convergence_analysis_of_Trust_in_AI_questionnaire_items_/29461798

Summary of Trust in AI research literature.

Autoři: Weizheng Jiang Dongqin Li Chun Liu

Témata: Neuroscience, Science Policy, Mental Health, Hematology, Biological Sciences not elsewhere classified, yet empirical research, offer practical guidance, identifying key drivers, gradient descent algorithm, different cognitive levels, area remains limited, action review method, +human%22">xlink "> human, cognitive taxonomy trust, understanding trust, understanding dimensions, transparency dimension, theoretical foundation, multidimensional trust, interactive mechanisms, interactive effects, insights provide, inhibitive influences, inhibitive effects, industry partnerships, findings reveal, dual effect, collected data

Relation: https://figshare.com/articles/journal_contribution/Summary_of_Trust_in_AI_research_literature_/29461795

Dostupnost: https://doi.org/10.1371/journal.pone.0326558.s001
https://figshare.com/articles/journal_contribution/Summary_of_Trust_in_AI_research_literature_/29461795

Gradient Descent Algorithm Optimization and its Application in Linear Regression Model

Autoři: Zhang, Shoujing

Témata: Linear Regression Model, Parameter Estimation, Optimization Methods, Gradient Descent Algorithm, Big Data Environment

Design and Analysis of Urban Land Lease Price Predicting Model Using Batch Gradient Descent Algorithm

Autoři: Berhane Niguse, Kifle

Zdroj: Momona Ethiopian Journal of Science; Vol. 15 No. 1 (2023); 89-104

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Batch Gradient Descent Algorithm, Cost Function, Feature Scaling, Learning Rate, Machine Learning, Regression, 11. Sustainability

Popis souboru: application/pdf

Přístupová URL adresa: https://www.ajol.info/index.php/mejs/article/view/247963

Exploration of the Ignition Delay Time of RP-3 Fuel Using the Artificial Bee Colony Algorithm in a Machine Learning Framework

Autoři: Wenbo Liu Zhirui Liu Hongan Ma

Zdroj: Energies, Vol 18, Iss 12, p 3037 (2025)

Témata: ignition delay time, RP-3 aviation kerosene, BP neural network, gradient descent algorithm, artificial bee colony algorithm, sensitivity analysis, Technology

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1996-1073/18/12/3037; https://doaj.org/toc/1996-1073

Přístupová URL adresa: https://doaj.org/article/e3f3a0772873478a901412b9e0153323

UAV Technology for Source Recovery and Emergency Response

Autoři: Di Pietro A. De Dominicis L. Marzo G. A. a další

Zdroj: International Journal of Safety and Security Engineering. 13:1-9

Témata: Gradient descent algorithm, Radiological survey, Physical security, Firmware, UAV, Monte Carlo simulation

Popis souboru: application/pdf