Suchergebnisse - Automatic machine learning algorithm based on genetic algorithms

Construction of rapid early warning and comprehensive analysis models for urban waterlogging based on AutoML and comparison of the other three machine learning algorithms von Guo, Yuchen, Quan, Lihong, Song, Lili, Liang, Hao

“… •The nowcasting and inversion models for urban waterlogging constructed by the AML based on genetic algorithm was recommended based on the comparison of AML, CatBoost, XGBoost and BPDNN …”
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Automatic Digital Modulation Recognition Based on Genetic-Algorithm-Optimized Machine Learning Models von Ansari, Sam, Alnajjar, Khawla A., Saad, Mohamed, Abdallah, Saeed, El-Moursy, Ali A.

“… Automatic modulation recognition (AMR) plays a central role in many applications, especially in the military and security sectors …”
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A Hybrid Automatic System for the Diagnosis of Lung Cancer Based on Genetic Algorithm and Fuzzy Extreme Learning Machines von Daliri, Mohammad Reza

“… 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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A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge von Keren, Liron Simon, Liberzon, Alex, Lazebnik, Teddy

“… SciMED combines a wrapper selection method, that is based on a genetic algorithm, with automatic machine learning and two levels of SR methods …”
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Hydrologically Informed Machine Learning for Rainfall‐Runoff Modeling: A Genetic Programming‐Based Toolkit for Automatic Model Induction von Chadalawada, Jayashree, Herath, H. M. V. V., Babovic, Vladan

“… 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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An Auto-Parallel Method for Deep Learning Models Based on Genetic Algorithm von Zeng, Yan, Huang, ChengChuang, Ni, YiJie, Zhou, ChunBao, Zhang, JiLin, Wang, Jue, Zhou, MingYao, Xue, MeiTing, Zhang, YunQuan

“… The existing auto-parallel methods based on machine learning or graph algorithms still have issues with search efficiency and applicability …”
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Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection von Albadr, Musatafa Abbas Abbood, Tiun, Sabrina, Ayob, Masri, AL-Dhief, Fahad Taha, Omar, Khairuddin, Hamzah, Faizal Amri

“… Therefore, this work employs an Optimised Genetic Algorithm-Extreme Learning Machine (OGA-ELM) with three selection criteria …”
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A point prediction method based automatic machine learning for day-ahead power output of multi-region photovoltaic plants von Zhao, Wei, Zhang, Haoran, Zheng, Jianqin, Dai, Yuanhao, Huang, Liqiao, Shang, Wenlong, Liang, Yongtu

“… First, automatic machine learning (AML) is applied to generate the most suitable ensemble prediction model with optimal parameters and then an improved genetic algorithm (GA …”
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A Spatiotemporal Fuzzy Modeling Approach Combining Automatic Clustering and Hierarchical Extreme Learning Machines for Distributed Parameter Systems von Zhou, Gang, Zhang, Xianxia, Wang, Tangchen, Wang, Bing

“… In this study, a three-dimensional fuzzy modeling method combining genetic algorithm (GA)-based automatic clustering and hierarchical extreme learning machine (HELM …”
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A Hybrid Prognostic Method for Proton-Exchange-Membrane Fuel Cell with Decomposition Forecasting Framework Based on AEKF and LSTM von Xia, Zetao, Wang, Yining, Ma, Longhua, Zhu, Yang, Li, Yongjie, Tao, Jili, Tian, Guanzhong

“… This paper proposes a hybrid prognostic method for PEMFCs based on a decomposition forecasting framework …”
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Automatic structural elucidation of vacancies in materials by active learning von Lourenço, Maicon Pierre, Herrera, Lizandra Barrios, Hostaš, Jiří, Calaminici, Patrizia, Köster, Andreas M, Tchagang, Alain, Salahub, Dennis R

“… In this work, we have developed an artificial intelligence method based on active learning (AL) or Bayesian optimization for the automatic structural elucidation of vacancies in solids and nanoparticle …”
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Automatic and intelligent content visualization system based on deep learning and genetic algorithm von İnce, Murat

“… Increasing demand in distance education, e-learning, web-based learning, and other digital sectors (e.g., entertainment …”
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Multiple objects automatic detection of GPR data based on the AC-EWV and Genetic Algorithm von Cui, Guangyan, Xu, Jie, Wang, Yanhui, Zhao, Shengsheng

“… The automatic detection of multiple objects in Ground penetrating radar (GPR) data is investigated by searching for the reflected hyperbolas of buried objects …”
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Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring von Liu, Yuekai, Yu, Yaoxiang, Guo, Liang, Gao, Hongli, Tan, Yongwen

“… 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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Automatic Classification of Fatty Liver Disease Based on Supervised Learning and Genetic Algorithm von Gaber, Ahmed, Youness, Hassan A., Hamdy, Alaa, Abdelaal, Hammam M., Hassan, Ammar M.

“… To avoid this problem, a Computer-Aided Diagnosis technique is developed in the current study, using Machine Learning Algorithms and a voting-based classifier to categorize liver tissues …”
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Flexible Automatic Design of GaN PA Based on Gaussian Process-Assisted Non-Dominated Sorting Genetic Algorithm von Wang, Weiwei, Sun, Bingjie, Chen, Shichang, Xu, Kuiwen, Cai, Jialin, Raffo, Antonio, Donato, Nicola, Crupi, Giovanni, Wang, Gaofeng

“… 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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Auto-Machine Learning-Based W-Band High-Efficiency Oscillator Design von Xie, Bingchuan, Zhang, Rui, Tian, Lu, Li, Haixuan, Wang, Yong, Liu, Kegang

“… In this article, automatic machine learning (ML) technology and global optimization algorithms have been combined to achieve a fast and high-performance extended interaction oscillator (EIO) design …”
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Medical Image Segmentation Using Automatic Optimized U-Net Architecture Based on Genetic Algorithm von Khouy, Mohammed, Jabrane, Younes, Ameur, Mustapha, Hajjam El Hassani, Amir

“… 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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Identification of testicular cancer with T2-weighted MRI-based radiomics and automatic machine learning von Wang, Liang, Zhang, PeiPei, Feng, Yanhui, Lv, Wenzhi, Min, Xiangde, Liu, Zhiyong, Li, Jin, Feng, Zhaoyan

“… This study aims to investigate the potential of utilizing automatic machine learning (AutoML) based on MRI to diagnose testicular lesions without the need for expert algorithm optimization …”
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Automatic microarray image segmentation with clustering-based algorithms von Shao, Guifang, Li, Dongyao, Zhang, Junfa, Yang, Jianbo, Shangguan, Yali

“… However, state-of-art clustering-based segmentation algorithms are sensitive to noises. To solve this problem and improve the segmentation accuracy, in this article, several improvements are introduced into the fast and simple clustering methods …”
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