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检索条件"任意字段=2020 International Conference on Data Processing Algorithms and Models, ICDPAM 2020"
5740 条 记 录,以下是4871-4880 订阅
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Spatial-Temporal Gaussian Visit Model for Mobile Crowd Sensing
Spatial-Temporal Gaussian Visit Model for Mobile Crowd Sensi...
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international conference on Wireless Communications and Signal processing (WCSP)
作者: Jixuan Zhou Mingliu Liu Deshi Li Electronic Information School Wuhan University Wuhan China
Currently, mobile crowdsensing (MCS) is a promising solution for urban information collection. Generally, whether the participants can arrive at the specific location in time is the foundation of recruitment; hence ex... 详细信息
来源: 评论
Perspective and Efficiency of Numerical Analysis for Advanced Manufacturing Technologies Using Big data  33
Perspective and Efficiency of Numerical Analysis for Advance...
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33rd international-Business-Information-Management-Association (IBIMA) conference
作者: Naumov, A. Bezobrazov, Yu. Glushkov, S. Peter Great St Petersburg Polytech Univ Natl Technol Initiat Ctr Excellence Adv Mfg Techn St Petersburg Russia VNICTT LLC All Union Res & Dev Ctr Transportat Technol St Petersburg Russia Samara Univ Samara Russia
The methodology for complex systems modeling taking into account the significant achievements in different fields of science and computer technologies is described. The development of global integrated advanced manufa... 详细信息
来源: 评论
Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks
Saliency-Driven Class Impressions For Feature Visualization ...
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IEEE international conference on Image processing
作者: Sravanti Addepalli Dipesh Tamboli R. Venkatesh Babu Biplab Banerjee Department of Computational and Data Sciences Indian Institute of Science Bengaluru India Indian Institute of Technology Bombay Mumbai India
In this paper, we propose a data-free method of extracting Impressions of each class from the classifier's memory. The Deep Learning regime empowers classifiers to extract distinct patterns (or features) of a give... 详细信息
来源: 评论
Improved ML models on Feature Extraction in HSI
Improved ML Models on Feature Extraction in HSI
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Computing and Information Technology (ICCIT-1441), 2020 international conference on
作者: C. Narmatha M. Sivaram P. Manimegalai Ravi Samikannu Pallavi Murghai Goel Juveriya Khan Faculty of Computers and Information Technology University of Tabuk Saudi Arabia Lebanese French University Erbil Kurdistan Region Iraq Karunya Institute of Technology and Sciences Karunya Nagar India Faculty of Electrical Engineering Botswana International University of Science and Technology Botswana School of Computing Science and Engineering Galgotias University Greater Noida India Emirates College for Management and Information Technology United Arab Emirates
Hyper Spectral Image (HSI) is widely used in remote sensing applications that take into account thousands of spectral channel compositions over a single scene. HSI requires accurate models of learning to extract the f... 详细信息
来源: 评论
IOT Based Predictive Maintenance Using LSTM RNN Estimator
IOT Based Predictive Maintenance Using LSTM RNN Estimator
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international conference on Electrical, Communication, and Computer Engineering (ICECCE)
作者: Jamal S. Rahhal Dia Abualnadi ECE Dept. Al-Ahliyya Amman University Amman Jordan EE Dept. The University of Jordan Amman Jordan
Predictive maintenance is a smart solution for many industrial and commercial plants; it enables users to fix their devices before they fail. It is based on a mathematical model that predicts the failure time of the c... 详细信息
来源: 评论
Generating Open-Source datasets for Power Distribution Network Using OpenStreetMaps
Generating Open-Source Datasets for Power Distribution Netwo...
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international conference on Renewable Energy Research and Applications (ICRERA)
作者: Muhammad Ali Carlos A. Macana Krishneel Prakash Robi Islam Ilhami Colak Hemanshu Pota School of Engineering and Information Technology University of New South Wales Australia Zeppelin Bend ACT Canberra Australia University of Sunshine Coast Queensland Australia Faculty of Electrical Engineering Nisantasi University Istanbul Turkey
In scientific research, the debate on open data is still evolving. The development of open-source benchmark data set is essential to the entire community as it enables empirical analysis of developed algorithms, speed... 详细信息
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Automating the Interactions among IoT Devices using Neural Networks
Automating the Interactions among IoT Devices using Neural N...
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IEEE Annual conference on Pervasive Computing and Communications Workshops (PerCom)
作者: Javier Rojo Daniel Flores-Martin Jose Garcia-Alonso Juan M. Murillo Javier Berrocal University of Extremadura Caceres Spain
The number of Internet of Things (IoT) devices is growing at an unstoppable pace. In most cases, the proper functioning of these devices requires human intervention. Due to this growth, people will have to configure m... 详细信息
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Infer The Input To The Generator Of Auxiliary Classifier Generative Adversarial Networks
Infer The Input To The Generator Of Auxiliary Classifier Gen...
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IEEE international conference on Image processing
作者: Xiaoming Peng Abdesselam Bouzerdoum Son Lam Phung School of Electrical Computer and Telecommunications Engineering University of Wollongong Wollongong Australia
Generative Adversarial Networks (GANs) are deep-learning-based generative models. This paper presents three methods to infer the input to the generator of auxiliary classifier generative adversarial networks (ACGANs),... 详细信息
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Using SURF to Improve ResNet-50 Model for Poultry Disease Recognition Algorithm
Using SURF to Improve ResNet-50 Model for Poultry Disease Re...
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Computational Intelligence (ICCI),international conference on
作者: Luyl-Da Quach Nghi Pham Quoc Nhien Huynh Thi Duc Chung Tran Mohd Fadzil Hassan FPT University Can Tho Vietnam FPT University Hanoi Vietnam Universiti Teknologi PETRONAS Seri Iskandar Perak Malaysia City
ResNet-50 is an architecture of residual network and known to have numerous advantages. However, the application of the model to the poultry domain for identifying chickens' diseases has demonstrated insufficient ... 详细信息
来源: 评论
A Joint Course Knowledge Entity and Relation Extraction Method for Educational data
A Joint Course Knowledge Entity and Relation Extraction Meth...
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Information Science and Education (ICISE-IE), international conference on
作者: Feng Qin Zhiwen Zhang Xiao Zheng School of Computer Science and Technology Anhui University of Technology Ma’anshan China
Considering the current growth of data in Educational Field, especially in recent times, due to the COVID-19 epidemic, the volume of online course data has increased exponentially. How to extract useful entities and r... 详细信息
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