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检索条件"机构=Graduate Program of Informatics Engineering"
604 条 记 录,以下是121-130 订阅
排序:
Estimating Pandemic Effects in Urban Mass Transportation Systems: An Approach Based on Visibility Graphs and Network Similarity
SSRN
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SSRN 2022年
作者: Perez, Yuri Pereira, Fabio Henrique Informatics and Knowledge Management Graduate Program PPGI-UNINOVE Rua Vergueiro 235/249 - Liberdade SP São Paulo01525-000 Brazil Universidade Nove de Julho Industrial Engineering Graduate Program PPGI-UNINOVE Rua Vergueiro 235/249 - Liberdade SP São Paulo01525-000 Brazil
Urban mass transportation systems are critical elements of modern society, exerting influence in the shape, economical development and sustainability of a city. Covid-19 forced population to avoid social contact and t... 详细信息
来源: 评论
Deep STI: Deep Stochastic Time-series Imputation on Electronic Health Records
Deep STI: Deep Stochastic Time-series Imputation on Electron...
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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)
作者: Ming-Che Cheng Yi-Hsien Hsieh Te-Cheng Hsu Tung-Hung Su Che Lin Institute of Communications Engineering National Tsing Hua University Hsinchu Taiwan Graduate Institute of Communication Engineering National Taiwan University (NTU) Taipei Taiwan Dept. of Internal Medicine Division of Gastroenterolgy and Hepatology National Taiwan University Hospital Taipei Taiwan Department of Electrical Engineering NTU Taipei Taiwan Center for Advanced Computing and Imaging in Biomedicine NTU Taipei Taiwan Smart Medicine and Health Informatics Program NTU Taipei Taiwan
Electronic Health Records (EHRs) are a cornerstone of modern healthcare analytics, offering rich datasets for various disease analyses through advanced deep learning algorithms. However, the pervasive issue of missing... 详细信息
来源: 评论
The Smart Analysis of Performing Scalable Inference for Big Data Analytics
The Smart Analysis of Performing Scalable Inference for Big ...
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International Conference on Power Energy, Environment and Intelligent Control (PEEIC)
作者: Vishakha D Bhandarkar Aruna Sri Rongali Mohamed Dawood Shamout Prof. Sachin Pund Gigih Forda Nama Shrishailappa Patil Applied Mathematics and Humanities Yeshwantrao Chavan College of Engineering India Graduate Doctoral Information Technology/Graduate (Information Technology Emphasis/Information Technology Ph.D.) University of The Cumberlands US Department of Management College of Business Administration University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering Shri Ramdeobaba College of Engineering and Management Nagpur Maharashtra India Department of Informatics Doctoral Program of Environtmental Science University of Lampung Bandar Lampung Computer engineering Vishwakarma Institute of Technology Pune
This paper examines the reproducibility of massive information analytics under particular factors. The paper proposes the “performing Scalable Inference” technique to cope with scalability troubles and to exploit cu...
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Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate
Meta-EHR: A meta-learning approach for electronic health rec...
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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)
作者: Hsu-Hsiang Chang Te-Cheng Hsu Yi-Hsien Hsieh Che Lin Graduate Institute of Communication Engineering National Taiwan University (NTU) Taipei Taiwan Institute of Communications Engineering National Tsing Hua University (NTHU) Hsinchu Taiwan Department of Electrical Engineering National Taiwan University (NTU) Taipei Taiwan Center for Computational and Systems Biology and Center for Biotechnology NTU Taipei Taiwan Smart Medicine and Health Informatics Program NTU Taipei Taiwan
Data imbalance is a practical and crucial issue in deep learning. Moreover, real-world datasets, such as electronic health records (EHR), often suffer from high missing rates. Both issues can be understood as noises i...
来源: 评论
ReViT: A Hybrid Approach for BCLC Staging of Hepatocellular Carcinoma Using 3D CT with Multiple Instance Learning
ReViT: A Hybrid Approach for BCLC Staging of Hepatocellular ...
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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)
作者: Shun-Cheng Chang Hsin-Pei Yu Yi-Hsien Hsieh Pochuang Wang Weichung Wang Tung-Hung Su Jia-Horng Kao Che Lin Graduate Institute of Communication Engineering National Taiwan University (NTU) Taipei Taiwan Department of Computer Science and Information Engineering NTU Taipei Taiwan Institute of Applied Mathematical Sciences NTU Taipei Taiwan Department of Internal Medicine Division of Gastroenterology and Hepatology National Taiwan University Hospital Taipei Taiwan Department of Electrical Engineering NTU Taipei Taiwan Center for Advanced Computing and Imaging in Biomedicine NTU Taipei Taiwan Smart Medicine and Health Informatics Program NTU Taipei Taiwan
Deep learning has revolutionized medical imaging, offering advanced methods for accurate diagnosis and treatment planning. The BCLC staging system is crucial for staging Hepatocellular Carcinoma (HCC), a high-mortalit... 详细信息
来源: 评论
A BCLC Staging System for Hepatocellular Carcinoma using Swin Transformer and CT Imaging
A BCLC Staging System for Hepatocellular Carcinoma using Swi...
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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)
作者: Shun-Cheng Chang Pochuang Wang Weichung Wang Tung-Hung Su Jia-Horng Kao Che Lin Graduate Institute of Communication Engineering National Taiwan University (NTU) Taipei Taiwan Department of Computer Science and Information Engineering NTU Taipei Taiwan NTU Institute of Applied Mathematical Sciences Taipei Taiwan Department of Internal Medicine Division of Gastroenterology and Hepatology National Taiwan University Hospital Taipei Taiwan Department of Electrical Engineering NTU Taipei Taiwan NTU Center for Advanced Computing and Imaging in Biomedicine Taipei Taiwan NTU Smart Medicine and Health Informatics Program Taipei Taiwan
The Barcelona Clinic Liver Cancer (BCLC) staging system plays a crucial role in clinical planning, offering valuable insights for effectively managing hepatocellular carcinoma. Accurate prediction of BCLC stages can s... 详细信息
来源: 评论
Comparison of potential telemarketing customers predictions with a data mining approach using the MLPNN and RBFNN methods  2
Comparison of potential telemarketing customers predictions ...
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2nd International Conference on Information and Communications Technology, ICOIACT 2019
作者: Puteri, Annisa Nurul Dewiani Tahir, Zulkifli Post-graduate Program of Electrical Engineering Hasanuddin University Makassar Indonesia Dept. Electrical Engineering Hasanuddin University Makassar Indonesia Dept. Informatics Engineering Hasanuddin University Makassar Indonesia
Bank as a company that has many customers who conduct transactions every day, of course, has data that is increased continuously. In this paper, customer transaction data has been predicted to find potential customers... 详细信息
来源: 评论
Dynamic Deployment and Control of an NDN Network for Military Multi-UAVs Based Surveillance Applications
Dynamic Deployment and Control of an NDN Network for Militar...
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International Conference on Unmanned Aircraft Systems (ICUAS)
作者: Otávio A. Rocha da Cruz Carlos Eduardo Pereira Antonio Santos da Silva João Paulo J. da Costa Paulo Mendes Edison Pignaton de Freitas Graduate Program in Electrical Engineering Federal University of Rio Grande do Sul Rio Grande do Sul Brazil Institute of Informatics Federal University of Rio Grande do Sul Rio Grande do Sul Brazil Hamm-Lippstadt University of Applied Sciences (HSHL) Hamm Germany Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Airbus Taufkirchen Germany
The military usage of Unmanned Aerial Vehicles (UAVs) has garnered attention, especially after their employment in the Ukrainian war. Despite the most commented lethal usage, they have many other applications from whi... 详细信息
来源: 评论
Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN
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IEEE/ACM Transactions on Computational Biology and Bioinformatics 2023年 第5期20卷 3267-3277页
作者: Tu, Deng-Yao Lin, Peng-Chan Chou, Hsin-Hung Shen, Meng-Ru Hsieh, Sun-Yuan National Cheng Kung University Master Degree Program on Artificial Intelligence Tainan City70101 Taiwan National Cheng Kung University Institute of Medical Informatics Department of Oncology Department of Genomic Medicine National Cheng Kung University Hospital College of Medicine Department of Computer Science and Information Engineering Tainan City70101 Taiwan National Chi Nan University Department of Computer Science and Information Engineering Nantou County54561 Taiwan National Cheng Kung University Graduate Institute of Clinical Medicine Department of Obstetrics and Gynecology Department of Pharmacology National Cheng Kung University Hospital College of Medicine Tainan City70101 Taiwan National Cheng Kung University Institute of Medical Information Institute of Manufacturing Information and Systems Center for Innovative FinTech Business Models International Center for the Scientific Development of Shrimp Aquaculture Department of Computer Science and Information Engineering Tainan City70101 Taiwan
Automatic liver tumor detection from computed tomography (CT) makes clinical examinations more accurate. However, deep learning-based detection algorithms are characterized by high sensitivity and low precision, which... 详细信息
来源: 评论
Predicting Neurological Outcomes of Comatose Cardiac Arrest Patients Using Transformer Neural Networks with EEG Data
Predicting Neurological Outcomes of Comatose Cardiac Arrest ...
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Computers in Cardiology (CinC)
作者: Jefferson Dionisio Che Lin Lian-Yu Lin Wen-Chau Wu Smart Medicine and Health Informatics Program National Taiwan University (NTU) Taipei Taiwan Department of Electrical Engineering NTU Graduate Institute of Communication Engineering NTU School of Medicine NTU Center for Advanced Computing and Imaging in Biomedicine NTU Center for Biotechnology NTU Department of Internal Medicine NTU Hospital Taipei Taiwan Institute of Medical Device and Imaging NTU Department of Radiology College of Medicine NTU Graduate Institute of Clinical Medicine NTU
As part of the 2023 PhysioNet Challenge, our team FINDING_MEMO utilized Transformer to predict outcomes using patient EEG data since it excels at dealing with sequential data like EEG. We mainly used the Transformer e...
来源: 评论