Výsledky vyhľadávania - Intelligent algorithm optimized Bayesian network

  1. 1

    Mode of delivery and maternal vitamin D deficiency: an optimized intelligent Bayesian network algorithm analysis of a stratified randomized controlled field trial Autor Amiri, Mina, Rostami, Maryam, Sheidaei, Ali, Fallahzadeh, Aida, Ramezani Tehrani, Fahimeh

    ISSN: 2045-2322, 2045-2322
    Vydavateľské údaje: London Nature Publishing Group UK 29.05.2023
    Vydané v Scientific reports (29.05.2023)
    “… supplementation-controlled trial comprising 1649 eligible pregnant women. The Bayesian Network (BN) method was utilized to determine the association algorithm between diverse influential factors associated with maternal vitamin D and mode of delivery…”
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    Risk prediction of hypertension complications based on the intelligent algorithm optimized Bayesian network Autor Du, Gang, Liang, Xi, Ouyang, Xiaoling, Wang, Chunming

    ISSN: 1382-6905, 1573-2886
    Vydavateľské údaje: New York Springer US 01.11.2021
    Vydané v Journal of combinatorial optimization (01.11.2021)
    “… of hypertension complications by text mining. On this basis, the K2 algorithm based on the improved particle swarm optimization was proposed to optimize the structure of the Bayesian network (BN…”
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    Hydrodynamic feature extraction and intelligent identification of flow regimes in vaneless space of a pump turbine using improved empirical wavelet transform and Bayesian optimized convolutional neural network Autor Zheng, Xianghao, Li, Hao, Zhang, Suqi, Zhang, Yuning, Li, Jinwei, Zhao, Weiqiang

    ISSN: 0360-5442
    Vydavateľské údaje: 01.11.2023
    Vydané v Energy (Oxford) (01.11.2023)
    “…), energy feature vector (EFV) and Bayesian optimized convolutional neural network (BOCNN) is innovatively proposed…”
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    Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVdc Systems Autor Yousaf, Muhammad Zain, Tahir, Muhammad Faizan, Raza, Ali, Khan, Muhammad Ahmad, Badshah, Fazal

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Switzerland MDPI AG 16.12.2022
    Vydané v Sensors (Basel, Switzerland) (16.12.2022)
    “…), Bayesian optimization, and multilayer artificial neural networks (ANNs) based on local information…”
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    Study on intelligent prediction method of rock drillability based on Bayesian lithology classification and optimized BP neural network Autor Fang, Xinxin, Feng, Hong, Wang, Hao

    ISSN: 1091-6466, 1532-2459
    Vydavateľské údaje: Abingdon Taylor & Francis 12.05.2022
    Vydané v Petroleum science and technology (12.05.2022)
    “… This paper proposes new prediction theory with two steps based on logging data sensitive to lithology by introducing Bayesian classifier and Self Adaptive Double Chain Quantum Genetic Algorithm (S-DC-QGA…”
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    A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response Autor Sun, Chaoyuan, Zhang, Weijiao, Sun, Peng, Wang, Hui, Yang, Chunhui

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Switzerland MDPI AG 20.05.2025
    Vydané v Sensors (Basel, Switzerland) (20.05.2025)
    “…)-optimized backpropagation neural network (DOA-BPNN) model for efficient anomaly detection…”
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    Enhancing Ground Vibration Prediction in Mine Blasting: A Committee Machine Intelligent System Optimized with Metaheuristic Algorithms Autor Hasanipanah, Mahdi, Amnieh, Hassan Bakhshandeh

    ISSN: 1520-7439, 1573-8981
    Vydavateľské údaje: New York Springer Nature B.V 01.12.2025
    “…) optimized by cutting-edge metaheuristic algorithms to predict ground vibrations. Initially, cascaded feedforward neural networks (CFNN…”
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    Novel intelligent neuro-structure optimized Bayesian distributed backpropagation for magnetohydrodynamics flow analysis of double-layer optical fiber coating Autor Naqvi, Sayyed Talha Gohar, Awan, Saeed Ehsan, Raja, Muhammad Asif Zahoor, Niazi, Shahab Ahmad

    ISSN: 2190-5444, 2190-5444
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 27.02.2025
    Vydané v European physical journal plus (27.02.2025)
    “… The presented investigation analyzes the influence of magnetohydrodynamic effects during the coating process by leveraging a novel design of intelligent Bayesian regularization scheme (IBRS…”
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    Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models Autor Hasanipanah, Mahdi, Jamei, Mehdi, Mohammed, Ahmed Salih, Amar, Menad Nait, Hocine, Ouaer, Khedher, Khaled Mohamed

    ISSN: 1865-0473, 1865-0481
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2022
    Vydané v Earth science informatics (01.09.2022)
    “… . The proposed models were based on three optimized cascaded forward neural network (CFNN) using the Levenberg…”
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    Hybrid Feature-Based Disease Detection in Plant Leaf Using Convolutional Neural Network, Bayesian Optimized SVM, and Random Forest Classifier Autor Singh, Ashutosh Kumar, Sreenivasu, SVN, Mahalaxmi, U.S.B. K., Sharma, Himanshu, Patil, Dinesh D., Asenso, Evans

    ISSN: 0146-9428, 1745-4557, 1745-4557
    Vydavateľské údaje: Cairo Hindawi 10.02.2022
    Vydané v Journal of food quality (10.02.2022)
    “… In this study, we use artificial intelligence and computer vision techniques to achieve the goal of designing and developing an intelligent classification mechanism for leaf diseases…”
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    Intelligent Fault Diagnosis of Rotary Machinery by Convolutional Neural Network with Automatic Hyper-Parameters Tuning Using Bayesian Optimization Autor Kolar, Davor, Lisjak, Dragutin, Pająk, Michał, Gudlin, Mihael

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Switzerland MDPI AG 31.03.2021
    Vydané v Sensors (Basel, Switzerland) (31.03.2021)
    “… This work presents a convolutional neural network based data-driven intelligent fault diagnosis technique for rotary machinery which uses model with optimized hyper-parameters and network structure…”
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    Design of intelligent neuro-structures optimized with Levenberg–Marquardt and Bayesian distribution for dynamical analysis of Caputo–Fabrizio fractional electric circuit models Autor Kausar, Aneela, Chang, Chuan-Yu, Naz, Sidra, Raja, Muhammad Asif Zahoor, Khan, Rooh Ullah, Safiullah, Muhammad, Naz, Saeeda

    ISSN: 0952-1976
    Vydavateľské údaje: Elsevier Ltd 27.11.2025
    “…) and Resistor-Inductor (RL) circuits. The study employs artificial intelligence-based neurocomputing techniques and backpropagation networks for the purposes of increasing the knowledge on fractal…”
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    A neural network-based ECMS for optimized energy management of plug-in hybrid electric vehicles Autor Chen, Zhihang, Liu, Yonggang, Zhang, Yuanjian, Lei, Zhenzhen, Chen, Zheng, Li, Guang

    ISSN: 0360-5442, 1873-6785
    Vydavateľské údaje: Oxford Elsevier Ltd 15.03.2022
    Vydané v Energy (Oxford) (15.03.2022)
    “… This paper proposes an intelligent equivalent consumption minimum strategy based on dual neural networks and a novel equivalent factor correction, which can adaptively regulate the equivalent factor…”
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    Intelligent fault recognition strategy based on adaptive optimized multiple centers Autor Zheng, Bo, Li, Yan-Feng, Huang, Hong-Zhong

    ISSN: 0888-3270, 1096-1216
    Vydavateľské údaje: Berlin Elsevier Ltd 01.06.2018
    “…•The results show the proposed strategy has better performance on different data. For the recognition principle based optimized single center, one important issue is that the data with nonlinear separatrix cannot be recognized accurately…”
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    Stochastic analysis of the MHD flow over a stretching porous surface with variable viscosity Autor Qureshi, Hamid, Shah, Zahoor, Raja, Muhammad Asif Zahoor, Khan, Waqar Azeem

    ISSN: 0973-7111, 0973-7111
    Vydavateľské údaje: New Delhi Springer India 01.11.2024
    Vydané v Pramāṇa (01.11.2024)
    “… A novel artificial intelligent method of Bayesian algorithm of feed forward neural network, accompanied with Lobatto-IIIA technique is incorporated for optimised results…”
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    Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning Autor Shao, Xiaodan, Cheng, Lei, Chen, Xiaoming, Huang, Chongwen, Ng, Derrick Wing Kwan

    ISSN: 1536-1276, 1558-2248
    Vydavateľské údaje: New York IEEE 01.12.2022
    “…This paper investigates a reconfigurable intelligent surface (RIS)-aided unsourced random access (URA…”
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    Visual recognition and prediction analysis of China’s real estate index and stock trend based on CNN-LSTM algorithm optimized by neural networks Autor Chen, Ningyan

    ISSN: 1932-6203, 1932-6203
    Vydavateľské údaje: United States Public Library of Science 24.02.2023
    Vydané v PloS one (24.02.2023)
    “…) algorithm based on neural network optimization on China’s real estate index and stock trend, in this study, artificial neural network (ANN…”
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    Artificial neural network optimized by Bayesian-regularization algorithm to solve the convective flow of trihybrid nanofluid with LTNECs and thermal radiation Autor Abbas, Munawar, Medani, Mohamed, Elaissi, Samira, Adnan OTHMAN, Nashwan, Zayani, Hafedh Mahmoud, Shafique, Muhammad, Khan, Ilyas, Ben Khedher, Nidhal

    ISSN: 1687-8507
    Vydavateľské údaje: Elsevier B.V 01.12.2025
    “…The aim of this study is to examine an artificial intelligence neural network based on the Intelligent Bayesian-Regularization optimizer to evaluate the effect of thermal radiation on the trihybrid…”
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    EEG Signal Classification Using Bayesian-Optimized Neural Networks in IoMT Systems Autor Alnaily, Rana Raad Shaker

    ISSN: 1330-1136, 1846-3908
    Vydavateľské údaje: Sveuciliste U Zagrebu 01.06.2025
    “… With advancements in neuroinformatics and intelligent computing, the classification of electroencephalography (EEG…”
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    Aircraft Trajectory Prediction Based on Bayesian Optimised Temporal Convolutional Network–Bidirectional Gated Recurrent Unit Hybrid Neural Network Autor Huang, Jin, Ding, Weijie

    ISSN: 1687-5966, 1687-5974
    Vydavateľské údaje: New York Hindawi 15.12.2022
    “…Efficient and accurate flight trajectory prediction is a key technology for promoting intelligent and informative air traffic management and improving the operational capabilities and predictability of air traffic…”
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