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检索条件"机构=Department of Computer Science and Engineering and Translational Data Analytics Institute"
485 条 记 录,以下是201-210 订阅
IoT-Enhanced Innovations in Drug Delivery Systems for Targeted Therapy in Autoimmune Disorders
IoT-Enhanced Innovations in Drug Delivery Systems for Target...
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International Conference on Advanced Computing and Communication Systems (ICACCS)
作者: V Bhuvaneshwari R Sadaieswaran P Malathi N Legapriyadharshini T Thirumalaikumari S R Raja Department of Computer Science and Engineering Acharya College of Engineering Achariyapuram Puducherry India Department of Computer Applications Tagore College of arts and science Chennai Tamil Nadu India Department of Data Analytics Saveetha College of Liberal Arts and Sciences SIMATS Deemed to be University Chennai Tamil Nadu India Department of Computer Application Saveetha College of Liberal Arts and Sciences Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Department of Computer Science Saveetha College of Liberal Arts and Sciences SIMATS Deemed to be University Chennai Tamil Nadu India
The growing number of autoimmune diseases necessitates the needs novel drug delivery system alternatives to improve targeted therapy. The study deals with the immediate requirement for improvements by investigating th... 详细信息
来源: 评论
GPR-SCSANet: Unequal-Length Time Series Normalization with Split-Channel Residual Convolution and Self-Attention for Brain Age Prediction
GPR-SCSANet: Unequal-Length Time Series Normalization with S...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Fangling Sun Chuang Liang Tülay Adali Daoqiang Zhang Rongtao Jiang Vince D. Calhoun Shile Qi Department of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA Department of Radiology and Biomedical Imaging Yale School of Medicine New Haven USA Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology Emory University Atlanta GA USA
Functional magnetic resonance imaging (fMRI), as a non-invasive method to reveal brain function alterations, frequently yields time series with unequal lengths in real-world scenarios, which may arise from factors suc... 详细信息
来源: 评论
On the concentration of Gaussian Cayley matrices
arXiv
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arXiv 2022年
作者: Bandeira, Afonso S. Kunisky, Dmitriy Mixon, Dustin G. Zeng, Xinmeng Department of Mathematics ETH Zürich Switzerland Department of Computer Science Yale University United States Department of Mathematics The Ohio State University United States Translational Data Analytics Institute The Ohio State University United States
Given a finite group, we study the Gaussian series of the matrices in the image of its left regular representation. We propose such random matrices as a benchmark for improvements to the noncommutative Khintchine ineq... 详细信息
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T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy  27th
T-Cell Receptor Optimization with Reinforcement Learning an...
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27th International Conference on Research in Computational Molecular Biology, RECOMB 2023
作者: Chen, Ziqi Min, Martin Renqiang Guo, Hongyu Cheng, Chao Clancy, Trevor Ning, Xia Computer Science and Engineering The Ohio State University ColumbusOH43210 United States Machine Learning Department NEC Labs PrincetonNJ08540 United States Digital Technologies Research Centre National Research Council Canada Ontario Canada Department of Medicine Baylor College of Medicine HoustonTX77030 United States NEC Oncolmmunity AS Oslo Cancer Cluster Innovation Park Ullernchausséen 64 Oslo0379 Norway Biomedical Informatics The Ohio State University ColumbusOH43210 United States Translational Data Analytics Institute The Ohio State University ColumbusOH43210 United States
T cells monitor the health status of cells by identifying foreign peptides displayed on their surface. T-cell receptors (TCRs), which are protein complexes found on the surface of T cells, are able to bind to these pe... 详细信息
来源: 评论
Optimization Study of Renal CT Image Classification Using Convolution Neural Networks
Optimization Study of Renal CT Image Classification Using Co...
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International Conference on Computing and Networking Technology (ICCNT)
作者: Afnaan. K K. V Nagaraja Tripty Singh Bhanu Prakash KN Department of Computer Science and Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India Department of Mathematics Amrita School of Engineering Bengaluru Amrita Vishwa Vidyapeetham India Principal Investigator Research Scientist Clinical Data Analytics and Radiomics Bioinformatic Institute (BII) A*STAR Singapore
computer tomography (CT), also known as computed tomography, is a medical imaging method that generates detailed and precise horizontal or axial images of targeted regions of the body for diagnostic purposes. In this ...
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Modeling Path Importance for Effective Alzheimer’s Disease Drug Repurposing
arXiv
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arXiv 2023年
作者: Xiang, Shunian Lawrence, Patrick J. Peng, Bo Chiang, ChienWei Kim, Dokyoon Shen, Li Ning, Xia Biomedical Informatics Department The Ohio State University ColumbusOH43210 United States Computer Science and Engineering Department The Ohio State University ColumbusOH43210 United States Department of Biostatistics Epidemiology and Informatics University of Pennsylvania PhiladelphiaPA19104 United States Translational Data Analytics Institute The Ohio State University ColumbusOH43210 United States
Recently, drug repurposing has emerged as an effective and resource-efficient paradigm for AD drug discovery. Among various methods for drug repurposing, network-based methods have shown promising results as they are ... 详细信息
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Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool
Reproducibility and Replicability in Neuroimaging: Constrain...
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European Signal Processing Conference (EUSIPCO)
作者: Francisco Laport Adriana Dapena Trung Vu Hanlu Yang Vince Calhoun Tülay Adali Department of Computer Science and Electrical Engineering University of Maryland Baltimore County MD USA CITIC Research Center University of A Coruña A Coruña Spain Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology and Emory University Atlanta GA USA
Matrix decomposition techniques have been successfully applied in the analysis of multi-subject functional magnetic resonance imaging (fMRI) data. These data-driven approaches that assume the linear blind source separ... 详细信息
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Image Fusion in Remote Sensing: An Overview and Meta-Analysis
SSRN
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SSRN 2024年
作者: Albanwan, Hessah Qin, Rongjun Tang, Yang Geospatial Data Analytics Laboratory The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States Department of Civil Environmental and Geodetic Engineering The Ohio State University 218B Bolz Hall 2036 Neil Avenue ColumbusOH43210 United States Department of Electrical and Computer Engineering The Ohio State University 205 Dreese Lab 2036 Neil Avenue ColumbusOH43210 United States Translational Data Analytics Institute The Ohio State University United States
Image fusion in Remote Sensing (RS) has been a consistent demand due to its ability to turn raw images of different resolutions, sources, and modalities into accurate, complete, and spatio-temporally coherent images. ... 详细信息
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An Improved Unbalanced data Classification Method Based on Hybrid Sampling Approach  4
An Improved Unbalanced Data Classification Method Based on H...
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2021 IEEE 4th International Conference on Big data and Artificial Intelligence, BDAI 2021
作者: Xu, Biru Wang, Wenjia Yang, Rui Han, Qi University of Liverpool Department of Computer Science Liverpool United Kingdom School of Advanced Technology Research Institute of Big Data Analytics Xi an Jiaotong-Liverpool University Suzhou China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China
The problem of data imbalance has received far- reaching concerns since they could affect the accuracy of classification problem in the area of machine learning. As the minority class instances can be ignored by tradi... 详细信息
来源: 评论
Gamification and Serious Games for Cybersecurity Awareness and First Responders Training: An overview
TechRxiv
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TechRxiv 2023年
作者: Batzos, Zisis Saoulidis, Theocharis Margounakis, Dimitrios Fountoukidis, Eleftherios Grigoriou, Elisavet Moukoulis, Achilleas Sarigiannidis, Antonios Liatifis, Athanasios Karypidis, Paris-Alexandros Bibi, Stamatia Filippidis, Adam Kazanidis, Ioannis Nifakos, Sokratis Kasig, Timo Heydari, Mohammad Mouratidis, Haralambos Sidroco Holdings Ltd. Nicosia Cyprus Department of Electrical and Computer Engineering University of Western Macedonia Kozani Greece Department of Computer Science International Hellenic University Kavala Campus Greece Massive Dynamic Sweden Sweden Dept. of Computer and Systems Sciences Stockholm University Sweden Institute for Analytics and Data Science University of Essex United Kingdom
Gamification has been characterized as the usage of video game elements in non-game environments. Gamification in cybersecurity awareness training can lead to more engaging interactions, greater pleasure, and increase... 详细信息
来源: 评论