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检索条件"主题词=Denoising autoencoder"
340 条 记 录,以下是201-210 订阅
排序:
Robust Motion Planning for Multi-Robot Systems Against Position Deception Attacks
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IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2024年 19卷 2157-2170页
作者: Tang, Wenbing Zhou, Yuan Liu, Yang Ding, Zuohua Liu, Jing East China Normal Univ Shanghai Key Lab Trustworthy Comp Shanghai 200062 Peoples R China Nanyang Technol Univ Sch Comp Sci & Engn Singapore 639798 Singapore Zhejiang Sci Tech Univ Sch Comp Sci & Technol Hangzhou 310018 Zhejiang Peoples R China
Deep reinforcement learning (DRL) is widely applied in motion planning for multi-robot systems as DRL leverages the offline training process to improve the real-time computation efficiency. In DRL-based methods, the D... 详细信息
来源: 评论
A deep learning approach to prediction of blood group antigens from genomic data
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TRANSFUSION 2024年 第11期64卷 2179-2195页
作者: Moslemi, Camous Saekmose, Susanne Larsen, Rune Brodersen, Thorsten Bay, Jakob T. Didriksen, Maria Nielsen, Kaspar R. Bruun, Mie T. Dowsett, Joseph Dinh, Khoa M. Mikkelsen, Christina Hyvarinen, Kati Ritari, Jarmo Partanen, Jukka Ullum, Henrik Erikstrup, Christian Ostrowski, Sisse R. Olsson, Martin L. Pedersen, Ole B. Zealand Univ Hosp Dept Clin Immunol Koge Denmark Roskilde Univ Dept Sci & Environm Roskilde Denmark Copenhagen Univ Hosp Dept Clin Immunol Rigshop Copenhagen Denmark Aalborg Univ Hosp Dept Clin Immunol Aalborg Denmark Odense Univ Hosp Dept Clin Immunol Odense Denmark Aarhus Univ Hosp Dept Clin Immunol Aarhus Denmark Finnish Red Cross Blood Serv Helsinki Finland Statens Serum Inst Copenhagen Denmark Aarhus Univ Dept Clin Med Aarhus Denmark Univ Copenhagen Fac Hlth & Med Sci Dept Clin Med Copenhagen Denmark Lund Univ Dept Lab Med Lund Sweden Off Med Serv Dept Clin Immunol & Transfus Med Lund Sweden
Background: Deep learning methods are revolutionizing natural science. In this study, we aim to apply such techniques to develop blood type prediction models based on cheap to analyze and easily scalable screening arr... 详细信息
来源: 评论
Breast cancer cell nuclei classification in histopathology images using deep neural networks
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INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 2018年 第2期13卷 179-191页
作者: Feng, Yangqin Zhang, Lei Yi, Zhang Sichuan Univ Coll Comp Sci Machine Intelligence Lab Chengdu 610065 Sichuan Peoples R China
Cell nuclei classification in breast cancer histopathology images plays an important role in effective diagnose since breast cancer can often be characterized by its expression in cell nuclei. However, due to the smal... 详细信息
来源: 评论
Enhancing Context-Aware Recommendation Using Trust-Based Contextual Attentive autoencoder
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NEURAL PROCESSING LETTERS 2023年 第5期55卷 6843-6864页
作者: Abinaya, S. Alphonse, A. Sherly Abirami, S. Kavithadevi, M. K. Vellore Inst Technol Sch Comp Sci & Engn Chennai Tamil Nadu India Thiagarajar Coll Engn Dept Comp Sci & Engn Madurai Tamil Nadu India
Context-aware recommender systems are intended primarily to consider the circumstances under which a user encounters an item to provide better-personalized recommendations. Users acquire point-of-interest, movies, pro... 详细信息
来源: 评论
Dynamic deep learning algorithm based on incremental compensation for fault diagnosis model
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INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 2018年 第1期11卷 846-860页
作者: Liu, Jing An, Yacheng Dou, Runliang Ji, Haipeng Hebei Univ Technol Sch Comp Sci & Engn Tianjin 300401 Peoples R China Hebei Key Lab Dig Dta Calculat Tianjin 300401 Peoples R China Univ Iowa Engn Sch Iowa City IA 52246 USA Tianjin Univ Coll Management & Econ Tianjin 300072 Peoples R China Hebei Univ Technol Res Inst Energy Equipment Mat Tianjin 300401 Peoples R China
As one of research and practice hotspots in the field of intelligent manufacturing, the machine learning approach is applied to diagnose and predict equipment fault for running state data. Despite deep learning approa... 详细信息
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Semi-supervised learning of the electronic health record for phenotype stratification
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JOURNAL OF BIOMEDICAL INFORMATICS 2016年 64卷 168-178页
作者: Beaulieu-Jones, Brett K. Greene, Casey S. Univ Penn Perelman Sch Med Grad Grp Genom & Computat Biol Philadelphia PA 19104 USA Univ Penn Perelman Sch Med Inst Biomed Informat Philadelphia PA 19104 USA Univ Penn Perelman Sch Med Dept Syst Pharmacol & Translat Therapeut Philadelphia PA 19104 USA Univ Penn Perelman Sch Med Inst Translat Med & Therapeut Philadelphia PA 19104 USA
Patient interactions with health care providers result in entries to electronic health records (EHRs). EHRs were built for clinical and billing purposes but contain many data points about an individual. Mining these r... 详细信息
来源: 评论
Transport Analysis of Infinitely Deep Neural Network
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JOURNAL OF MACHINE LEARNING RESEARCH 2019年 第1期20卷 31-82页
作者: Sonoda, Sho Murata, Noboru RIKEN Ctr Adv Intelligence Project Chuo Ku 1-4-1 Nihonbashi Tokyo 1030027 Japan Waseda Univ Sch Adv Sci & Engn Shinjuku Ku 3-4-1 Okubo Tokyo 1698555 Japan
We investigated the feature map inside deep neural networks (DNNs) by tracking the transport map. We are interested in the role of depth - why do DNNs perform better than shallow models? - and the interpretation of DN... 详细信息
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Removal of multisource noise in airborne electromagnetic data based on deep learning
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GEOPHYSICS 2020年 第6期85卷 B207-B222页
作者: Wu, Xin Xue, Guoqiang He, Yiming Xue, Junjie Chinese Acad Sci Inst Geol & Geophys Key Lab Mineral Resources Beijing 100029 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Acad Sci Innovat Acad Earth Sci Beijing 100029 Peoples R China China Univ Min & Technol Coll Geosci & Surveying Engn Beijing 100083 Peoples R China
Existing noise removal processes for airborne electromagnetic (AEM) data generally consist of several steps, with each using a specific method to remove a specific type of noise. To improve the efficiency of AEM denoi... 详细信息
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Application of multi-modal temporal neural network based on enhanced sparrow optimization in lithium battery life prediction
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SCIENTIFIC REPORTS 2024年 第1期14卷 1-17页
作者: Liu, Zeyu Du, Xiaofang Shi, Yuhai Wuhan Univ Technol Sch Automot Engn Wuhan 430070 Hubei Peoples R China Xiang Yang DAAN Automobile Testing Ctr Ltd Xiangyang 441004 Hubei Peoples R China
This paper introduces the DeNet-Mamba-DC-SCSSA network, an advanced solution for predicting the Remaining Useful Life (RUL) of lithium-ion batteries, crucial for the safety and efficiency management of electric vehicl... 详细信息
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Integrative pathway-based survival prediction utilizing the interaction between gene expression and DNA methylation in breast cancer
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BMC MEDICAL GENOMICS 2018年 第3期11卷 33-43页
作者: Kim, So Yeon Kim, Tae Rim Jeong, Hyun-Hwan Sohn, Kyung-Ah Ajou Univ Dept Comp Engn Suwon 16499 South Korea Baylor Coll Med Dept Mol & Human Genet Houston TX 77030 USA Texas Childrens Hosp Jan & Dan Duncan Neurol Res Inst Houston TX 77030 USA
Background: Integrative analysis on multi-omics data has gained much attention recently. To investigate the interactive effect of gene expression and DNA methylation on cancer, we propose a directed random walk-based ... 详细信息
来源: 评论