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检索条件"主题词=Autoencoder"
4216 条 记 录,以下是4121-4130 订阅
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Identifying subgroups of eating behavior traits unrelated to obesity using functional connectivity and feature representation learning
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HUMAN BRAIN MAPPING 2024年 第1期45卷 e26581-e26581页
作者: Choi, Hyoungshin Byeon, Kyoungseob Lee, Jong-eun Hong, Seok-Jun Park, Bo-yong Park, Hyunjin Sungkyunkwan Univ Dept Elect & Comp Engn Suwon South Korea Inst Basic Sci Ctr Neurosci Imaging Res Suwon South Korea Child Mind Inst Ctr Developing Brain New York NY USA Sungkyunkwan Univ Dept Biomed Engn Suwon South Korea Inha Univ Dept Data Sci Incheon South Korea Inha Univ Dept Stat & Data Sci Incheon South Korea Sungkyunkwan Univ Sch Elect & Elect Engn Suwon South Korea
Eating behavior is highly heterogeneous across individuals and cannot be fully explained using only the degree of obesity. We utilized unsupervised machine learning and functional connectivity measures to explore the ... 详细信息
来源: 评论
Multi-omics integration for neuroblastoma clinical endpoint prediction
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BIOLOGY DIRECT 2018年 第20180427期13卷 5-5页
作者: Francescatto, Margherita Chierici, Marco Dezfooli, Setareh Rezvan Zandona, Alessandro Jurman, Giuseppe Furlanello, Cesare Fdn Bruno Kessler Via Sommar 18 I-38123 Trento Italy Univ Trento Ctr Integrat Biol Via Sommar 9 I-38123 Trento Italy Univ Padua Dept Informat Engn Padua Italy
Background: High-throughput methodologies such as microarrays and next-generation sequencing are routinely used in cancer research, generating complex data at different omics layers. The effective integration of omics... 详细信息
来源: 评论
Dimensionality reduction for images of IoT using machine learning
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SCIENTIFIC REPORTS 2024年 第1期14卷 1-13页
作者: Ali, Ibrahim Wassif, Khaled Bayomi, Hanaa Cairo Univ Fac Comp & Artificial Intelligence Comp Sci Dept Giza Egypt
Sensors, wearables, mobile devices, and other Internet of Things (IoT) devices are becoming increasingly integrated into all aspects of our lives. They are capable of gathering enormous amounts of data, such as image ... 详细信息
来源: 评论
Chaos Detection and Mitigation in Swarm of Drones using Machine Learning Techniques and Chaotic Attractors
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2022年 第6期13卷 449-460页
作者: Nebe, Emmanuel Sanni, Mistura Laide Adetona, Rasheed Ayodeji Akinyemi, Bodunde Odunola Bello, Sururah Apinke Aderounmu, Ganiyu Adesola Obafemi Awolowo Univ Dept Comp Sci & Engn Ife Nigeria Obafemi Awolowo Univ Dept Math Ife Nigeria
Mostvexisting identification and tackling of chaos in swarm drone missions focus on single drone scenarios. There is a need to assess the status of a system with multiple drones, hence, this research presents an on-th... 详细信息
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Early prediction of coronavirus disease epidemic severity in the contiguous United States based on deep learning
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RESULTS IN PHYSICS 2021年 25卷 104287-104287页
作者: Kao, I-Hsi Perng, Jau-Woei Natl Sun Yat Sen Univ Dept Mech & Electromech Engn Kaohsiung 804 Taiwan
In November 2019, the coronavirus disease outbreak began, caused by the novel severe acute respiratory syndrome coronavirus 2. In just over two months, the unprecedented rapid spread resulted in more than 10,000 confi... 详细信息
来源: 评论
A Multi-Site Anti-Interference Neural Network for ASD Classification
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ALGORITHMS 2023年 第7期16卷 315-315页
作者: Lv, Wentao Li, Fan Luo, Shijie Xiang, Jie Taiyuan Univ Technol Coll Informat & Comp Taiyuan 030600 Peoples R China
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that can reduce quality of life and burden families. However, there is a lack of objectivity in clinical diagnosis, so it is very important to de... 详细信息
来源: 评论
Application of deep learning to visual inspection and research trends
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Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering 2019年 第1期85卷 27-30页
作者: Kubota, Shinya
来源: 评论
A Novel Network Intrusion Detection System Based on Semi-Supervised Approach for IoT
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2023年 第4期14卷 207-216页
作者: Bhavani, A. Durga Mangla, Neha BMS Inst Technol & Management Dept Comp Sci & Engn Bangalore India Atria Inst Technol Dept Informat Sci & Engn Bangalore India
An intrusion detection system (IDS) is one of the most effective ways to secure a network and prevent unauthorized access and security attacks. But due to the lack of adequately labeled network traffic data, researche... 详细信息
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PRNet with convolution layer for PAPR reduction of OFDM signals
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IEICE COMMUNICATIONS EXPRESS 2024年 第8期13卷 339-342页
作者: Ohta, Masaya Kubota, Koichi Osaka Metropolitan Univ Grad Sch Informat 1-1 Gakuen choNaka ku Sakai Osaka 5998531 Japan
This research uses deep learning to address the high peak-toaverage power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM), which is critical for wireless communications. Although a PAPRreducing netwo... 详细信息
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Anomaly Detection using Unsupervised Methods: Credit Card Fraud Case Study
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2019年 第11期10卷 1-8页
作者: Rezapour, Mahdi Univ Wyoming Laramie WY 82071 USA
The usage of credit card has increased dramatically due to a rapid development of credit cards. Consequently, credit card fraud and the loss to the credit card owners and credit cards companies have been increased dra... 详细信息
来源: 评论