Suchergebnisse - (automatic OR automatizace) machine learning algorithm based on genetics algorithms

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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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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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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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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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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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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Automatic clustering by multi-objective genetic algorithm with numeric and categorical features von Dutta, Dipankar, Sil, Jaya, Dutta, Paramartha

“… •We have developed a clustering algorithm for an unknown number of clusters by MOGA …”
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An improved moth flame optimization algorithm based on rough sets for tomato diseases detection von Hassanien, Aboul Ella, Gaber, Tarek, Mokhtar, Usama, Hefny, Hesham

“… •Automatic tomato disease detection approach based on moths-flame optimization and rough set was proposed …”
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A combination of multi-objective genetic algorithm and deep learning for music harmony generation von Majidi, Maryam, Toroghi, Rahil Mahdian

“… ; but in the most of previous works, Automatic Music Generation works only for one element (e.g., melody). Therefore, in this paper, we propose a Multi-Objective Genetic Algorithm …”
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Machine learning methods for genomic prediction of cow behavioral traits measured by automatic milking systems in North American Holstein cattle von Pedrosa, Victor B., Chen, Shi-Yi, Gloria, Leonardo S., Doucette, Jarrod S., Boerman, Jacquelyn P., Rosa, Guilherme J.M., Brito, Luiz F.

“… In this study, we aimed to compare the predictive performance of traditional genomic prediction methods and deep learning algorithms for genomic prediction of milking refusals (MREF …”
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An Automatic XSS Attack Vector Generation Method Based on the Improved Dueling DDQN Algorithm von Yao, Yuan, He, Junjiang, Li, Tao, Wang, Yunpeng, Lan, Xiaolong, Li, Yuan

“… and long processing times but also result in a significant number of false positives. In this paper, we build an automatic XSS attack vector generation method based on the improved Dueling DDQN algorithm …”
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HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms von Wang, Xiaojuan, Wang, Xinlei, Lv, Tianqi, Jin, Lei, He, Mingshu

“… Human activity recognition (HAR) based on wearable sensors is a promising research direction …”
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