Search Results - (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 by Wang, Weiwei, Sun, Bingjie, Chen, Shichang, Xu, Kuiwen, Cai, Jialin, Raffo, Antonio, Donato, Nicola, Crupi, Giovanni, Wang, Gaofeng

    ISSN: 0278-0070, 1937-4151
    Published: 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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    Journal Article
  2. 2

    Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring by Liu, Yuekai, Yu, Yaoxiang, Guo, Liang, Gao, Hongli, Tan, Yongwen

    ISSN: 0278-0046, 1557-9948
    Published: 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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  3. 3

    Medical Image Segmentation Using Automatic Optimized U-Net Architecture Based on Genetic Algorithm by Khouy, Mohammed, Jabrane, Younes, Ameur, Mustapha, Hajjam El Hassani, Amir

    ISSN: 2075-4426, 2075-4426
    Published: Basel MDPI AG 25.08.2023
    Published in 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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  4. 4

    Hydrologically Informed Machine Learning for Rainfall‐Runoff Modeling: A Genetic Programming‐Based Toolkit for Automatic Model Induction by Chadalawada, Jayashree, Herath, H. M. V. V., Babovic, Vladan

    ISSN: 0043-1397, 1944-7973
    Published: Washington John Wiley & Sons, Inc 01.04.2020
    Published in 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 by Wang, Xiaojuan, Wang, Xinlei, Lv, Tianqi, Jin, Lei, He, Mingshu

    ISSN: 1424-8220, 1424-8220
    Published: Basel MDPI AG 19.10.2021
    Published in Sensors (Basel, Switzerland) (19.10.2021)
    “…Human activity recognition (HAR) based on wearable sensors is a promising research direction…”
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  6. 6

    Development of a Genetic Algorithm-Based Control Strategy for Fuel Consumption Optimization in a Mild Hybrid Electrified Vehicle’s Electrified Propulsion System by Filho, Roberto H. Q., Ruiz, Rodrigo P. M., Fernandes, Eisenhawer de M., Filho, Rosalvo B., Pimenta, Felipe C.

    ISSN: 1996-1073, 1996-1073
    Published: Basel MDPI AG 01.05.2024
    Published in 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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    Journal Article
  7. 7

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

    ISSN: 1573-0484, 0920-8542, 1573-0484
    Published: New York Springer US 14.04.2025
    Published in 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 by Chen, Xu, Wujek, Brett

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Published: 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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  9. 9

    An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm by 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
    Published: Basel MDPI AG 01.11.2024
    Published in 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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  10. 10

    Kinetic study in an automatic continuous‐flow photochemical platform with machine learning by Wang, Yuhan, Shen, Chong, Qiu, Min, Shang, Minjing, Su, Yuanhai

    ISSN: 0001-1541, 1547-5905
    Published: Hoboken, USA John Wiley & Sons, Inc 01.09.2023
    Published in 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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  11. 11

    Automatic wheat ear counting using machine learning based on RGB UAV imagery by 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
    Published: 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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  12. 12

    Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem by Zhao, Ziyan, Liu, Shixin, Zhou, MengChu, Abusorrah, Abdullah

    ISSN: 2329-9266, 2329-9274
    Published: Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.06.2021
    Published in 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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  13. 13

    Hybrid multiobjective genetic algorithms for integrated dynamic scheduling and routing of jobs and automated-guided vehicle (AGV) in flexible manufacturing systems (FMS) environment by Umar, Umar Ali, Ariffin, M. K. A., Ismail, N., Tang, S. H.

    ISSN: 0268-3768, 1433-3015
    Published: 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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  14. 14

    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 by 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
    Published: Switzerland Frontiers Media SA 2024
    Published in 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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  15. 15

    Benchmarking Biologically-Inspired Automatic Machine Learning for Economic Tasks by Lazebnik, Teddy, Fleischer, Tzach, Yaniv-Rosenfeld, Amit

    ISSN: 2071-1050, 2071-1050
    Published: Basel MDPI AG 01.07.2023
    Published in 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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  16. 16

    A Hybrid Automatic System for the Diagnosis of Lung Cancer Based on Genetic Algorithm and Fuzzy Extreme Learning Machines by Daliri, Mohammad Reza

    ISSN: 0148-5598, 1573-689X
    Published: Boston Springer US 01.04.2012
    Published in 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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  17. 17

    AI-based modeling and data-driven evaluation for smart manufacturing processes by Ghahramani, Mohammadhossein, Qiao, Yan, Zhou, Meng Chu, O'Hagan, Adrian, Sweeney, James

    ISSN: 2329-9266, 2329-9274
    Published: Piscataway Chinese Association of Automation (CAA) 01.07.2020
    Published in 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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  18. 18

    Modulation pattern recognition method of wireless communication automatic system based on IABLN algorithm in intelligent system by Xie, Ting, Han, Xing

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 13.01.2025
    Published in 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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  19. 19

    Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing by Ji, Jian-Jiao, Guo, Yi-Nan, Gao, Xiao-Zhi, Gong, Dun-Wei, Wang, Ya-Peng

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Published: United States IEEE 01.04.2023
    Published in 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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  20. 20

    Automatic classification of epilepsy types using ontology-based and genetics-based machine learning by 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
    Published: Amsterdam Elsevier B.V 01.06.2014
    Published in 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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