Výsledky vyhľadávania - (automatic OR automation) machine learning algorithm based on genetic algorithms

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  1. 1

    Flexible Automatic Design of GaN PA Based on Gaussian Process-Assisted Non-Dominated Sorting Genetic Algorithm Autor Wang, Weiwei, Sun, Bingjie, Chen, Shichang, Xu, Kuiwen, Cai, Jialin, Raffo, Antonio, Donato, Nicola, Crupi, Giovanni, Wang, Gaofeng

    ISSN: 0278-0070, 1937-4151
    Vydavateľské údaje: IEEE 2025
    “… It employs a Gaussian process-assisted fast non-dominated sorting genetic algorithm (GP-NSGA-II) for both circuit synthesis and layout optimization…”
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    Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring Autor Liu, Yuekai, Yu, Yaoxiang, Guo, Liang, Gao, Hongli, Tan, Yongwen

    ISSN: 0278-0046, 1557-9948
    Vydavateľské údaje: New York IEEE 01.09.2022
    “… The limitation of in-situ TCM based on traditional deep learning lies in several aspects: the requirement of sufficient labeled data of health conditions, the empirically manual designed architecture, and the labor-intensive tuning of hyperparameters…”
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    Medical Image Segmentation Using Automatic Optimized U-Net Architecture Based on Genetic Algorithm Autor Khouy, Mohammed, Jabrane, Younes, Ameur, Mustapha, Hajjam El Hassani, Amir

    ISSN: 2075-4426, 2075-4426
    Vydavateľské údaje: Basel MDPI AG 25.08.2023
    Vydané v Journal of personalized medicine (25.08.2023)
    “… With the advent of deep learning, many manual design-based methods have been proposed and have shown promising results in achieving state-of-the-art performance in biomedical image segmentation…”
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    Hydrologically Informed Machine Learning for Rainfall‐Runoff Modeling: A Genetic Programming‐Based Toolkit for Automatic Model Induction Autor Chadalawada, Jayashree, Herath, H. M. V. V., Babovic, Vladan

    ISSN: 0043-1397, 1944-7973
    Vydavateľské údaje: Washington John Wiley & Sons, Inc 01.04.2020
    Vydané v Water resources research (01.04.2020)
    “…Models of water resources systems are conceived to capture the underlying environmental dynamics occurring within watersheds. All such models can be regarded…”
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  5. 5

    HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms Autor Wang, Xiaojuan, Wang, Xinlei, Lv, Tianqi, Jin, Lei, He, Mingshu

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Basel MDPI AG 19.10.2021
    Vydané v Sensors (Basel, Switzerland) (19.10.2021)
    “…Human activity recognition (HAR) based on wearable sensors is a promising research direction…”
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    Development of a Genetic Algorithm-Based Control Strategy for Fuel Consumption Optimization in a Mild Hybrid Electrified Vehicle’s Electrified Propulsion System Autor Filho, Roberto H. Q., Ruiz, Rodrigo P. M., Fernandes, Eisenhawer de M., Filho, Rosalvo B., Pimenta, Felipe C.

    ISSN: 1996-1073, 1996-1073
    Vydavateľské údaje: Basel MDPI AG 01.05.2024
    Vydané v Energies (Basel) (01.05.2024)
    “… One of the biggest challenges for HEVs’ development is the complexity of the hybrid control system, knowing when to actuate the electric machine, and the optimum power delivery, plus the gearshift schedule becomes a hard optimization…”
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  7. 7

    An automatic software test-generation method to discover the faults using fusion of machine learning and horse herd algorithm Autor Arasteh, Bahman, Arasteh, Keyvan, Ghaffari, Ali

    ISSN: 1573-0484, 0920-8542, 1573-0484
    Vydavateľské údaje: New York Springer US 14.04.2025
    Vydané v The Journal of supercomputing (14.04.2025)
    “… A time- and cost-effective method has been suggested in this research to produce test data automatically by utilizing machine learning and horse herd optimization algorithms…”
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  8. 8

    A Unified Framework for Automatic Distributed Active Learning Autor Chen, Xu, Wujek, Brett

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Vydavateľské údaje: New York IEEE 01.12.2022
    “… First, automated graph-based semi-supervised learning is conducted by aggregating the proposed cost functions from different compute nodes and jointly optimizing hyperparameters in both the…”
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    An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm Autor Chen, Lu, Tan, Jie, Wu, Tianci, Tan, Zengxin, Yuan, Guobo, Yang, Yuhao, Liu, Chiang, Zhou, Haoyu, Xie, Weisi, Xiu, Yue, Li, Gun

    ISSN: 2075-1702, 2075-1702
    Vydavateľské údaje: Basel MDPI AG 01.11.2024
    Vydané v Machines (Basel) (01.11.2024)
    “…This paper introduces an optimization method for multi-robot automated control welding based on a Particle Swarm Genetic Algorithm (PSGA…”
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    Kinetic study in an automatic continuous‐flow photochemical platform with machine learning Autor Wang, Yuhan, Shen, Chong, Qiu, Min, Shang, Minjing, Su, Yuanhai

    ISSN: 0001-1541, 1547-5905
    Vydavateľské údaje: Hoboken, USA John Wiley & Sons, Inc 01.09.2023
    Vydané v AIChE journal (01.09.2023)
    “… Then, we built an automatic platform, which included a photomicroreactor, a continuously controlled pump, a high‐power UV…”
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    Automatic wheat ear counting using machine learning based on RGB UAV imagery Autor Fernandez‐Gallego, Jose A., Lootens, Peter, Borra‐Serrano, Irene, Derycke, Veerle, Haesaert, Geert, Roldán‐Ruiz, Isabel, Araus, Jose L., Kefauver, Shawn C.

    ISSN: 0960-7412, 1365-313X, 1365-313X
    Vydavateľské údaje: England Blackwell Publishing Ltd 01.08.2020
    “… An automatic ear‐counting system is proposed using machine learning techniques based on RGB (red, green, blue) images acquired from an unmanned aerial vehicle…”
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    Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem Autor Zhao, Ziyan, Liu, Shixin, Zhou, MengChu, Abusorrah, Abdullah

    ISSN: 2329-9266, 2329-9274
    Vydavateľské údaje: Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.06.2021
    Vydané v IEEE/CAA journal of automatica sinica (01.06.2021)
    “…-based nondominated sorting genetic algorithm II and two single-solution-based improvement methods, i.e…”
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    Hybrid multiobjective genetic algorithms for integrated dynamic scheduling and routing of jobs and automated-guided vehicle (AGV) in flexible manufacturing systems (FMS) environment Autor Umar, Umar Ali, Ariffin, M. K. A., Ismail, N., Tang, S. H.

    ISSN: 0268-3768, 1433-3015
    Vydavateľské údaje: London Springer London 01.12.2015
    “…The paper presents an algorithm for integrated scheduling, dispatching, and conflict-free routing of jobs and AGVs in FMS environment using a hybrid genetic algorithm…”
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    A method of deep network auto-training based on the MTPI auto-transfer learning and a reinforcement learning algorithm for vegetation detection in a dry thermal valley environment Autor Chen, Yayong, Zhou, Beibei, Xiaopeng, Chen, Ma, Changkun, Cui, Lei, Lei, Feng, Han, Xiaojie, Chen, Linjie, Wu, Shanshan, Ye, Dapeng

    ISSN: 1664-462X, 1664-462X
    Vydavateľské údaje: Switzerland Frontiers Media SA 2024
    Vydané v Frontiers in plant science (2024)
    “… (MTPI, maximum transfer potential index method) and an RL (the MTSA reinforcement learning, Multi-Thompson Sampling Algorithm…”
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    Benchmarking Biologically-Inspired Automatic Machine Learning for Economic Tasks Autor Lazebnik, Teddy, Fleischer, Tzach, Yaniv-Rosenfeld, Amit

    ISSN: 2071-1050, 2071-1050
    Vydavateľské údaje: Basel MDPI AG 01.07.2023
    Vydané v Sustainability (01.07.2023)
    “… In order to bridge this gap, automatic machine learning (AutoML) models have been developed, allowing non-experts to efficiently use advanced ML models with their data…”
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    A Hybrid Automatic System for the Diagnosis of Lung Cancer Based on Genetic Algorithm and Fuzzy Extreme Learning Machines Autor Daliri, Mohammad Reza

    ISSN: 0148-5598, 1573-689X
    Vydavateľské údaje: Boston Springer US 01.04.2012
    Vydané v Journal of medical systems (01.04.2012)
    “… The proposed method is based on combination of genetic algorithm (GA) for the feature selection and newly proposed approach, namely the extreme learning machines (ELM…”
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    AI-based modeling and data-driven evaluation for smart manufacturing processes Autor Ghahramani, Mohammadhossein, Qiao, Yan, Zhou, Meng Chu, O'Hagan, Adrian, Sweeney, James

    ISSN: 2329-9266, 2329-9274
    Vydavateľské údaje: Piscataway Chinese Association of Automation (CAA) 01.07.2020
    Vydané v IEEE/CAA journal of automatica sinica (01.07.2020)
    “… Embracing machine learning and artificial intelligence to take advantage of manufacturing data can lead to efficient and intelligent automation…”
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    Modulation pattern recognition method of wireless communication automatic system based on IABLN algorithm in intelligent system Autor Xie, Ting, Han, Xing

    ISSN: 1932-6203, 1932-6203
    Vydavateľské údaje: United States Public Library of Science 13.01.2025
    Vydané v PloS one (13.01.2025)
    “… To address this issue, a signal modulation recognition method based on a two-way interactive temporal attention network algorithm has been developed…”
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    Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing Autor Ji, Jian-Jiao, Guo, Yi-Nan, Gao, Xiao-Zhi, Gong, Dun-Wei, Wang, Ya-Peng

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Vydavateľské údaje: United States IEEE 01.04.2023
    Vydané v IEEE transactions on cybernetics (01.04.2023)
    “…Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing systems normally select the optimal participants giving no consideration…”
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    Automatic classification of epilepsy types using ontology-based and genetics-based machine learning Autor Kassahun, Yohannes, Perrone, Roberta, De Momi, Elena, Berghöfer, Elmar, Tassi, Laura, Canevini, Maria Paola, Spreafico, Roberto, Ferrigno, Giancarlo, Kirchner, Frank

    ISSN: 0933-3657, 1873-2860, 1873-2860
    Vydavateľské údaje: Amsterdam Elsevier B.V 01.06.2014
    Vydané v Artificial intelligence in medicine (01.06.2014)
    “… This work aims at developing a fully automatic classifier of epileptic types and their localization using ictal symptoms and machine learning methods…”
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