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检索条件"任意字段=2024 International Conference on Computing, Machine Learning and Data Science, CMLDS 2024"
13410 条 记 录,以下是51-60 订阅
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Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series
Back to the Future: Challenges of Sparse and Irregular M...
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Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and data, LDTM 2024, 5th international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on machine learning for Multimodal/-sensor Healthcare data, ML4MHD2024 and Workshop on Multimodal learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024
作者: Disch, Nico Albert Peretzke, Robin Roy, Saikat Ulrich, Constantin Zimmerer, David Stiefelhagen, Rainer Kleesiek, Jens Maier-Hein, Klaus Division of Medical Image Computing German Cancer Research Center Heidelberg Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Karlsruhe Heidelberg Germany Faculty of Mathematics and Computer Science University of Heidelberg Heidelberg Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany Karlsruhe Institute of Technology Karlsruhe Germany University Hospital Essen Essen Germany University Hospital Essen West German Cancer Center Essen Essen Germany Medical Faculty Heidelberg University of Heidelberg Heidelberg Germany
In longitudinal medical image analysis, most work focuses on regularly sampled images, or on tasks like regression or classification. However, in the clinical context, images are frequently generated irregularly due t... 详细信息
来源: 评论
An Intrusion Detection System for Multiclass Classification Across Multiple datasets in Industrial IoT Using machine learning and Neural Networks Integrated with Edge computing  2
An Intrusion Detection System for Multiclass Classification ...
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2nd international conference on data, Information and computing science, CDICS 2024
作者: Zhukabayeva, Tamara Ahmad, Zulfiqar Karabayev, Nurdaulet Baumuratova, Dilaram Ali, Mushtaq Faculty of Information Technology L.N. Gumilyov Eurasian National University Astana Kazakhstan Department of Computer Science and Information Technology Hazara University Mansehra21300 Pakistan
With the rapid expansion of industrial IoT (IIoT), maintaining robust cybersecurity is essential for the smooth operation of industrial processes. Industrial environments require adaptive solutions to effectively miti... 详细信息
来源: 评论
SegHeD: Segmentation of Heterogeneous data for Multiple Sclerosis Lesions with Anatomical Constraints
SegHeD: Segmentation of Heterogeneous Data for Multiple Sc...
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Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and data, LDTM 2024, 5th international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on machine learning for Multimodal/-sensor Healthcare data, ML4MHD2024 and Workshop on Multimodal learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024
作者: Basaran, Berke Doga Zhang, Xinru Matthews, Paul M. Bai, Wenjia Department of Computing Imperial College London London United Kingdom Data Science Institute Imperial College London London United Kingdom Department of Brain Sciences Imperial College London London United Kingdom School of Integrated Circuits and Electronics Beijing Institute of Technology CN Beijing China UK Dementia Research Institute Imperial College London London United Kingdom Rosalind Franklin Institute Didcot United Kingdom
Assessment of lesions and their longitudinal progression from brain magnetic resonance (MR) images plays a crucial role in diagnosing and monitoring multiple sclerosis (MS). machine learning models have demonstrated a... 详细信息
来源: 评论
Research on machine learning Prediction Algorithm in Stability of Mountain Rock Slope  14th
Research on Machine Learning Prediction Algorithm in Stabili...
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14th international conference on Frontier computing, FC 2024
作者: Xiang, Juan Zhang, Xuguang Li, Yongde School of Architecture and Civil Engineering Chongqing Metropolitan College of Science and Technology Chongqing China Architectural Design Institute China Construction Fifth Engineering Division Corp Ltd. Changsha China
In order to predict the slope stability, a method based on machine learning is put forward. By analyzing the slope instability characteristics, six typical slope parameters (pore water pressure, slope height) are sele... 详细信息
来源: 评论
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation  9th
FedGS: Federated Gradient Scaling for Heterogeneous Medical ...
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27th international conference on Medical Image computing and Computer Assisted Intervention (MICCAI)
作者: Schutte, Philip Corbetta, Valentina Beets-Tan, Regina Silva, Wilson Univ Amsterdam Amsterdam Netherlands Netherlands Canc Inst Dept Radiol Amsterdam Netherlands Univ Utrecht Dept Informat & Comp Sci Dept Biol AI Technol Life Utrecht Netherlands Maastricht Univ GROW Sch Oncol & Dev Biol Med Ctr Maastricht Netherlands
Federated learning (FL) in Deep learning (DL)-automated medical image segmentation helps preserving privacy by enabling collaborative model training without sharing patient data. However, FL faces challenges with data... 详细信息
来源: 评论
Adaptive Local Neighborhood Window Laplacian Eigenmaps  24
Adaptive Local Neighborhood Window Laplacian Eigenmaps
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13th international conference on computing and Pattern Recognition, ICCPR 2024
作者: Xu, Jiayi Huang, Qirui Zhao, Yang Pei, Jihong Yang, Xuan College of Electronics and Information Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen Guangdong China College of Computer Science and Software Engineering Shenzhen University Shenzhen Guangdong China
Manifold learning method is a dimensionality reduction method that treats the data in non-Euclidean space as a Euclidean space in a local scope. However, most existing manifold learning methods cannot obtain the true ... 详细信息
来源: 评论
Ensemble learning with Feature Fusion for Well-Overflow Detection  5th
Ensemble Learning with Feature Fusion for Well-Overflow Dete...
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5th international conference on Neural computing for Advanced Applications (NCAA)
作者: Cui, Ziliang Liu, Li Xiong, Yinzhou Liu, Yinguo Su, Yu Man, Zhimin Wang, Ye Chongqing Univ Posts & Telecommun Chongqing Peoples R China Chongqing Energy Big Data Ctr Co Ltd Chongqing Peoples R China Shandong Zibo Polytech Vocat Sch Chongqing Peoples R China
Traditional methods for kick prediction rely on experience and basic physical models, but they struggle to maintain high accuracy under complex well conditions and varying geological environments. Moreover, convention... 详细信息
来源: 评论
IoT-Based Convolutional Neural Networks in a Farm Pest Detection Using Transfer learning  5th
IoT-Based Convolutional Neural Networks in a Farm Pest Detec...
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5th international conference on computing science, Communication and Security
作者: Jani, Keyurbhai A. Chaubey, Nirbhay Kumar Panchal, Esan Tripathi, Pramod Yagnik, Shruti Gujarat Technol Univ Comp IT Engn Ahmadabad 382424 Gujarat India Ganpat Univ Comp Sci Mahesana 384012 Gujarat India Govt Polytech Informat Technol Gandhinagar 382027 Gujarat India Indus Univ Comp Engn Ahmadabad 382115 Gujarat India
In this study explores agriculture pest detection using transfer learning with IoT devices, evaluating VGG16, VGG19, Inception, and Xception CNN architectures with the agripest dataset. VGG16 and VGG19 show effective ... 详细信息
来源: 评论
Modal-Centric Insights Into Multimodal Federated learning for Smart Healthcare: A Survey  24th
Modal-Centric Insights Into Multimodal Federated Learning fo...
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24th international conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024
作者: Wang, Di Liu, Wenjian Gao, Longxiang Qu, Y. Neil. Zhang, Hu Shi, Jihong The Faculty of Data Science City University of Macau Macau China Jinan China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan China Medical Integration and Practice Center Shandong University Jinan China
Federated learning (FL) has progressed, providing a distributed mechanism where data need not be consolidated, thereby enhancing the privacy and security of sensitive healthcare data. Recent advancements in multimodal... 详细信息
来源: 评论
Enhancing Cross-Lingual Named Entity Recognition via Dual Contrastive learning Based on MRC Framework  13th
Enhancing Cross-Lingual Named Entity Recognition via Dual Co...
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13th international conference on Natural Language Processing and Chinese computing
作者: Zhuo, Aiqing Shi, Kunli Gu, Jinghang Qian, Longhua Zhoul, Guodong Soochow Univ Sch Comp Sci & Technol Suzhou 215006 Jiangsu Peoples R China Hong Kong Polytech Univ Dept Chinese & Bilingual Studies Hong Kong 999077 Peoples R China
Cross-lingual Named Entity Recognition (NER) has recently become a research hotspot because it can transfer knowledge from high-resource languages to low-resource languages, thus meeting the challenge of data scarcity... 详细信息
来源: 评论