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检索条件"机构=Faculty of Informatics and Data Science"
876 条 记 录,以下是251-260 订阅
排序:
Utilizing Automatic Speech Recognition for English Pronunciation Practice and Analyzing its Impact
Utilizing Automatic Speech Recognition for English Pronuncia...
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International Conference on Engineering Education (ICEED)
作者: Katsuyuki Umezawa Makoto Nakazawa Michiko Nakano Shigeichi Hirasawa Department of Informatics Shonan Institute of Technology Kanagawa Japan Department of Industrial Information Science Junior College of Aizu Fukushima Japan Faculty of Education and Integrated Arts and Sciences Waseda University Tokyo Japan Data Science Center Waseda University Tokyo Japan
The advancement of AI in recent years has been remarkable, along with the widespread use of speech recognition functions. In addition, an increasing number of people are self-studying in their fields of interest. In a...
来源: 评论
FUSENET: SELF-SUPERVISED DUAL-PATH NETWORK FOR MEDICAL IMAGE SEGMENTATION
arXiv
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arXiv 2023年
作者: Kazerouni, Amirhossein Karimijafarbigloo, Sanaz Azad, Reza Velichko, Yury Bagci, Ulas Merhof, Dorit School of Electrical Engineering Iran University of Science and Technology Iran Faculty of Informatics and Data Science University of Regensburg Germany Faculty of Electrical Engineering and Information Technology RWTH Aachen University Germany Department of Radiology Northwestern University ChicagoIL United States Fraunhofer Institute for Digital Medicine MEVIS Germany
Semantic segmentation, a crucial task in computer vision, often relies on labor-intensive and costly annotated datasets for training. In response to this challenge, we introduce FuseNet, a dual-stream framework for se... 详细信息
来源: 评论
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables
arXiv
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arXiv 2023年
作者: Jain, Pranay Ding, Cheng Rudin, Cynthia Hu, Xiao Department of Computer Science Duke University United States Department of Biomedical Engineering Georgia Institute of Technology Emory University United States Center for Data Science Nell Hodgson Woodruff School of Nursing Associated Faculty of Biomedical Informatics School of Medicine Associated Faculty of Computer Science College of Arts and Sciences Emory University United States
Smart watches and other wearable devices are equipped with photoplethysmography (PPG) sensors for monitoring heart rate and other aspects of cardiovascular health. However, PPG signals collected from such devices are ... 详细信息
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An Enhanced Residual Networks Based Framework for Early Alzheimer’s Disease Classification and Diagnosis  6th
An Enhanced Residual Networks Based Framework for Early Alzh...
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6th International Conference on Communication, Devices and Networking, ICCDN 2022
作者: Awotunde, Joseph Bamidele Sur, Nath Samarendra Imoize, Agbotiname Lucky Misra, Sanjay Gaber, Tarek Department of Computer Science Faculty of Information and Communication Sciences University of Ilorin Kwara State Ilorin240003 Nigeria Department of Electronics and Communication Engineering Sikkim Manipal Institute of Technology Sikkim Manipal University East Sikkim Rangpo Majitar737136 India Department of Electrical and Electronics Engineering Faculty of Engineering University of Lagos Akoka Lagos100213 Nigeria Department of Electrical Engineering and Information Technology Institute of Digital Communication Ruhr University Bochum44801 Germany Department of Applied Data Science Institute of Energy Technology Halden Norway Faculty of Computers and Informatics Suez Canal University Ismailia41522 Egypt School of Science Engineering and Environment University of Salford ManchesterM5 4WT United Kingdom
Alzheimer's disease (AD) is a long-lasting, degenerative brain illness for which there is now no successful treatment. However, there are medications that can delay its growth and stop its tracks. Therefore, stopp... 详细信息
来源: 评论
ADOD: Adaptive Density Outlier Detection
ADOD: Adaptive Density Outlier Detection
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IEEE International Conference on data Mining (ICDM)
作者: Li Qian Jing Qian Xin Sun Wengang Guo Christian Böhm Institute of Informatics Ludwig Maximilian University of Munich Munich Germany Faculty of Computer Science University of Vienna Vienna Austria Carbon Neutral R&D Center China Railway Hi-Tech Industry Corporation Limited Beijing China Faculty of Data Science City University of Macau Macau China College of Electronic and Information Engineering Tongji University Shanghai China
Outlier detection plays a dual role in data analysis: cleansing data to optimize the performance of downstream tasks and identifying potentially rare valuable events or patterns. Proximity-based methods, which are ind... 详细信息
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Bayes Optimal Estimation and Its Approximation Algorithm for Difference with and without Treatment under URLC Model
Bayes Optimal Estimation and Its Approximation Algorithm for...
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International Symposium on Information Theory and Its Applications, ISITA
作者: Taisuke Ishiwatari Shota Saito Yuta Nakahara Yuji Iikubo Toshiyasu Matsushima Department of Applied Mathematics Waseda University Tokyo Japan Faculty of Informatics Gunma University Gunma Japan Center for Data Science Waseda University Tokyo Japan
In this paper, we propose the data generative model in which a target population is divided into several latent classes, and the probability distribution of responses within each latent class is the same under a given... 详细信息
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Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification
arXiv
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arXiv 2024年
作者: Nabavi, Shahabedin Hamedani, Kian Anvari Moghaddam, Mohsen Ebrahimi Abin, Ahmad Ali Frangi, Alejandro F. Faculty of Computer Science and Engineering Shahid Beheshti University Tehran Iran Division of Informatics Imaging and Data Sciences Schools of Computer Science and Health Sciences The University of Manchester Manchester United Kingdom Electrical Engineering and Cardiovascular Sciences Departments KU Leuven Leuven Belgium Alan Turing Institute London United Kingdom
Background: Image classification can be considered one of the key pillars of medical image analysis. Deep learning (DL) faces challenges that prevent its practical applications despite the remarkable improvement in me... 详细信息
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Statistical Distance-Guided Unsupervised Domain Adaptation for Automated Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment
arXiv
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arXiv 2024年
作者: Nabavi, Shahabedin Hamedani, Kian Anvari Moghaddam, Mohsen Ebrahimi Abin, Ahmad Ali Frangi, Alejandro F. Faculty of Computer Science and Engineering Shahid Beheshti University Tehran Iran Division of Informatics Imaging and Data Sciences Schools of Computer Science and Health Sciences The University of Manchester Manchester United Kingdom Electrical Engineering and Cardiovascular Sciences Departments KU Leuven Leuven Belgium Alan Turing Institute London United Kingdom
This study proposes an attention-based statistical distance-guided unsupervised domain adaptation model for multi-class cardiovascular magnetic resonance (CMR) image quality assessment. The proposed model consists of ... 详细信息
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Paddy Diseases Multi-Class Classification using CNN Variants
Paddy Diseases Multi-Class Classification using CNN Variants
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Information Technology (ACIT)
作者: Danial Izzat Anwar Bin Abdul Aziz Marina Yusoff Nurain Ibrahim Raed Alazaidah College of Computing Informatics and Mathematics Universiti Teknologi MARA Shah Alam Malaysia Institute for Big Data Analytics and Artificial Intelligence (IBDAAI) College of Computing Informatics and Mathematics Universiti Teknologi MARA Shah Alam Malaysia Department of Computer Science Faculty of Information Technology Zarqa University Zarqa Jordan
Agriculture is critical to ensuring and securing food supply for human consumption. Paddy crops are an agricultural practice that produces one of the highest food yields in agriculture. Paddy diseases must now be...
来源: 评论
Echo-E3Net: Efficient Endo-Epi Spatio-Temporal Network for Ejection Fraction Estimation
arXiv
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arXiv 2025年
作者: Heidari, Moein Bozorgpour, Afshin Zarif-Fakharnia, AmirHossein Merhof, Dorit Hacihaliloglu, Ilker School of Biomedical Engineering University of British Columbia VancouverBC Canada Faculty of Informatics and Data Science University of Regensburg Regensburg Germany School of Electrical Engineering Iran University of Science and Technology Tehran Iran Department of Radiology University of British Columbia VancouverBC Canada Department of Medicine University of British Columbia VancouverBC Canada
Left ventricular ejection fraction (LVEF) is a critical metric for assessing cardiac function, widely used in diagnosing heart failure and guiding clinical decisions. Despite its importance, conventional LVEF estimati...
来源: 评论