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检索条件"任意字段=23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022"
101 条 记 录,以下是61-70 订阅
排序:
EEAI: An End-edge Architecture for Accelerating Deep Neural Network Inference  23
EEAI: An End-edge Architecture for Accelerating Deep Neural ...
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23rd IEEE international conference on High Performance Computing and Communications, 7th IEEE international conference on data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
作者: Liu, Guozhi Dai, Fei Huang, Bi Qiang, Zhenping Li, LeCheng Wang, Shuai School of Big Data and Intelligent Engineering Southwest Forestry University Kunming China
Deep Neural Networks (DNNs), as a key technology for Artificial Intelligence (AI) applications in the 5G era, have been widely used in the field of mobile intelligence. However, it is challenging to run computation-in... 详细信息
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intelligent Live Video Streaming for Object Detection  23
Intelligent Live Video Streaming for Object Detection
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23rd IEEE international conference on High Performance Computing and Communications, 7th IEEE international conference on data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
作者: Chen, Mingkang Sun, Jingtao Aida, Kento Figueiredo, Renato J. Ku, Yun-Jung Subratie, Kensworth The Graduate University for Advanced Studies Sokendai Department of Informatics Tokyo Japan National Institute of Informatics Tokyo Japan University of Florida Electrical and Computer Engineering Florida United States
These days, sensors and cameras are being deployed on an increasingly large scale. Furthermore, the rapid development of machine learning models for computer vision now presents novel opportunities for the use of arti... 详细信息
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28th international conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2024, and 23rd international conference on Information and Knowledge engineering, IKE 2024, held as part of the World Congress in Computer Science, Computer engineering and Applied Computing, CSCE 2024
28th International Conference on Image Processing, Computer ...
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28th international conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2024, and 23rd international conference on Information and Knowledge engineering, IKE 2024, held as part of the World Congress in Computer Science, Computer engineering and Applied Computing, CSCE 2024
The proceedings contain 28 papers. The special focus in this conference is on Image Processing, Computer Vision, and Pattern Recognition. The topics include: Image-Based Seal Recognition: Approaches and Challenge...
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The Impact of Parameters on Semantic Segmentation: A Case Study on the CamVid dataset  23
The Impact of Parameters on Semantic Segmentation: A Case St...
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23rd IEEE international conference on High Performance Computing and Communications, 7th IEEE international conference on data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
作者: Zhang, Yue Yang, Ruiqi Wang, Jun Chen, Nan Dai, Qinling Southwest Forestry University Swfu Faculty of Forestry Yunnan Kunming China College of Big Data and Intelligent Engineering Southwest Forestry University Swfu Yunnan Kunming China Art and Design College Southwest Forestry University Swfu Yunnan Kunming China
Image segmentation is an important topic of remote sensing image processing. High-resolution remote sensing images contain complex object information. The application of traditional segmentation methods is greatly res... 详细信息
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Application of Deep learning to the Establishment of Slope Failure Warning Areas
Application of Deep Learning to the Establishment of Slope F...
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: Rena Tani Michiyuki Hirokane Kazumasa Kuramoto Graduate School of Informatics Kansai University Osaka Japan Faculty of Informatics Kansai University Osaka Japan Chuden Engineering Consultants Co. Ltd. Hiroshima Japan
This study uses a deep learning technique to output the slope failure warning areas from numerical elevation data. This is treated as a semantic segmentation task, with UNet as the network model. The experiment result... 详细信息
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Car-Following Model of ULVs using a Deep learning Model
Car-Following Model of ULVs using a Deep Learning Model
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: Hiroaki Inokuchi Takamasa Akiyama Department of Civil Environmental and Applied Systems Engineering Kansai University Suita Japan
In recent years, various types of vehicles have been developed and made available for the road. This study clarifies the driving characteristics of Ultra Lightweight Vehicles (ULVs) that consume less energy. First, co... 详细信息
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Comparison of Supervised learning Models for COVID-19 Confirmed Cases Prediction using Correlation Analysis
Comparison of Supervised Learning Models for COVID-19 Confir...
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: Jun-Su Kim Byung-Jae Choi Department of IT Convergence Engineering Daegu University Gyeongsan Gyeongsangbuk-do South Korea Department of Electronic Engineering Daegu University Gyeongsan Gyeongsangbuk-do South Korea
The COVID-19 virus, which first appeared in 2019, has a strong contagious power and is highly spread by people’s mobility. In this study, correlation analysis is used in statistical preprocessing of dataset which fur... 详细信息
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A Model to Automatically Evaluate Beginners’ Programs Based on Syntactic Knowledge Point and Deep learning Technology
A Model to Automatically Evaluate Beginners’ Programs Based...
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: Yu Yan Hirokuni Kurokawa College of Information Science and Engineering Ritsumeikan University Kusatsu Japan Personnel and Training Division Intelligent Vision & Image System. Co. Ltd Tokyo Japan
This report provided a CNN model to automatically evaluate beginners’ programs based on their understanding of program concepts. The model input is a beginner’s program and the output is a letter grade for each prog... 详细信息
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A Study on CNN Model with Multiple Inputs for Detection of Driving Area
A Study on CNN Model with Multiple Inputs for Detection of D...
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: Min-Hong Park Jae-Hoon Cho Yong-Tea Kim Department of ICT Robot and Mechanical Engineering Hankyong National Univercity Anseong Gyeonggi Korea Hankyong National Univercity Smart Logistics Technology Institute Anseong Gyeonggi Korea School of ICT Robot and Mechanical Engineering Hankyong National Univercity Anseong Gyeonggi Korea
In this paper, we propose a method to distinguish the drivable and non-drivable areas of a mobile robot by learning road driving image data of an autonomous vehicle. Through recognition of the drivable area of vehicle... 详细信息
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Reducing computational cost in federated ensemble learning via rank-one matrix
Reducing computational cost in federated ensemble learning v...
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international Symposium on Soft Computing and intelligent Systems (SCIS)
作者: YongHoon Kang HoSeung Kim Jee-Hyong Lee Department of Computer Science and Engineering Sungkyunkwan University Suwon Republic of Korea Department of Artificial Intelligence Sungkyunkwan University Suwon Republic of Korea
As distributed environments have developed and data privacy has become more important, federated learning attracts more attentions. Federated learning is the method to train deep learning models without data exchange ... 详细信息
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