Search Results - "Probability and Statistics in Computer Science" :: K.UTB vyhledávací portál

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Deep learning for procedural content generation

by Liu, Jialin, Snodgrass, Sam, Khalifa, Ahmed, Risi, Sebastian, Yannakakis, Georgios N., Togelius, Julian
Published in Neural computing & applications (01.01.2021)

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Harris hawks optimization: a comprehensive review of recent variants and applications

by Alabool, Hamzeh Mohammad, Alarabiat, Deemah, Abualigah, Laith, Heidari, Ali Asghar
Published in Neural computing & applications (01.08.2021)

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An efficient XGBoost–DNN-based classification model for network intrusion detection system

by Devan, Preethi, Khare, Neelu
Published in Neural computing & applications (01.08.2020)

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Machine learning for landslides prevention: a survey

by Ma, Zhengjing, Mei, Gang, Piccialli, Francesco
Published in Neural computing & applications (01.09.2021)

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The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

by Amiri, Zahra, Heidari, Arash, Navimipour, Nima Jafari, Esmaeilpour, Mansour, Yazdani, Yalda
Published in Neural computing & applications (01.04.2024)

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A survey of FPGA-based accelerators for convolutional neural networks

by Mittal, Sparsh
Published in Neural computing & applications (01.02.2020)

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Battle royale optimization algorithm

by Rahkar Farshi, Taymaz
Published in Neural computing & applications (01.02.2021)

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Groundwater level prediction using machine learning algorithms in a drought-prone area

by Pham, Quoc Bao, Kumar, Manish, Di Nunno, Fabio, Elbeltagi, Ahmed, Granata, Francesco, Islam, Abu Reza Md. Towfiqul, Talukdar, Swapan, Nguyen, X. Cuong, Ahmed, Ali Najah, Anh, Duong Tran
Published in Neural computing & applications (01.07.2022)

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Spectrum interference-based two-level data augmentation method in deep learning for automatic modulation classification

by Zheng, Qinghe, Zhao, Penghui, Li, Yang, Wang, Hongjun, Yang, Yang
Published in Neural computing & applications (01.07.2021)

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Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integrodifferential equations

by Abu Arqub, Omar
Published in Neural computing & applications (01.07.2017)

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Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications

by Abualigah, Laith
Published in Neural computing & applications (01.08.2020)

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Rib segmentation algorithm for X-ray image based on unpaired sample augmentation and multi-scale network

by Wang, Hongyu, Zhang, Dandan, Ding, Songtao, Gao, Zhanyi, Feng, Jun, Wan, Shaohua
Published in Neural computing & applications (01.06.2023)

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Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms

by Tyralis, Hristos, Papacharalampous, Georgia, Langousis, Andreas
Published in Neural computing & applications (01.04.2021)

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Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making

by Shams, Mahmoud Y., Gamel, Samah A., Talaat, Fatma M.
Published in Neural computing & applications (01.04.2024)

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An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost

by Demir, Selçuk, Sahin, Emrehan Kutlug
Published in Neural computing & applications (01.02.2023)

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Deep neural network correlation learning mechanism for CT brain tumor detection

by Woźniak, Marcin, Siłka, Jakub, Wieczorek, Michał
Published in Neural computing & applications (01.07.2023)

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A novel image encryption scheme based on DNA sequence operations and chaotic systems

by Chai, Xiuli, Gan, Zhihua, Yuan, Ke, Chen, Yiran, Liu, Xianxing
Published in Neural computing & applications (01.01.2019)

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A note on using the F-measure for evaluating record linkage algorithms

by Hand, David, Christen, Peter
Published in Statistics and computing (01.05.2018)

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Convolutional neural network-based models for diagnosis of breast cancer

by Masud, Mehedi, Eldin Rashed, Amr E., Hossain, M. Shamim
Published in Neural computing & applications (01.07.2022)

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Moth–flame optimization algorithm: variants and applications

by Shehab, Mohammad, Abualigah, Laith, Al Hamad, Husam, Alabool, Hamzeh, Alshinwan, Mohammad, Khasawneh, Ahmad M.
Published in Neural computing & applications (01.07.2020)

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