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检索条件"任意字段=3rd International Conference on Machine Learning and Data Mining in Pattern Recognition"
3244 条 记 录,以下是3101-3110 订阅
排序:
Electronic Music Type Identification Based on Multimodal learning Optimized Residual Neural Networks
Electronic Music Type Identification Based on Multimodal Lea...
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Cloud Computing, Big data Applications and Software Engineering (CBASE), international conference on
作者: Jingying Guo Peng Wang School of Media and Performing Arts Coventry UniversityCoventry CV1 5RW UK Beijing City University Beijing China
The classification effect of electronic music may be low due to the complexity of its type branches. Therefore, a research on electronic music type identification method based on multimodal learning optimization resid... 详细信息
来源: 评论
Emotion Representation in Whole-brain Functional Connectivity patterns: An fMRI Study
Emotion Representation in Whole-brain Functional Connectivit...
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2017 3rd international conference on Artificial Intelligence and Industrial Engineering (AIIE2017)
作者: Yin LIANG School of Computer Science and Technology Tianjin Key Laboratory of Cognitive Computing and ApplicationTianjin University
The representation of emotion in human brain is an important question in the cognitive neuroscience. However, it was remained unclear to what extent the connections between different brain regions contribute to the em... 详细信息
来源: 评论
Design and Application of Personalized Recommendation Algorithm for Electricity Marketing
Design and Application of Personalized Recommendation Algori...
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data Analytics, Computing and Artificial Intelligence (ICDACAI), international conference on
作者: Yu Yu Lin Bai Xinpo Zhu Hua Liu Tao Zhou Jianbo Wang Beijing China-Power Information Technology Co. Ltd. Beijing China
With the rapid development of the current economy and technology, the electricity consumption behavior of power users has shown an unprecedented trend of diversification, with diverse and rapidly changing demand patte... 详细信息
来源: 评论
A Novel Rule-based Intrusion Detection System Using data mining
A Novel Rule-based Intrusion Detection System Using Data Min...
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2010 3rd IEEE international conference on Computer Science and Information Technology—ICCSIT 2010
作者: Lei Li, De-Zhang Yang, Fang-Cheng Shen School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China
Network security is becoming an increasingly important issue, since the rapid development of the Internet. Network Intrusion Detection System (IDS), as the main security defending technique, is widely used against suc... 详细信息
来源: 评论
Research on Negative learning Emotion recognition in English Classroom using Cross Space based Convolutional Neural Network
Research on Negative Learning Emotion Recognition in English...
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Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC), international conference on
作者: Xuanxuan Tan Xiaoli Hou Xiaojia Dai Lilanjun Tan Department of International Business and Economics Hunan Sany Polytechnic College Changsha China
In English classroom the teaching behavior, changes according to the student’s facial emotions which are observed by facial expressions and behavioral phases in the class. Nonetheless, in the English classroom, behav... 详细信息
来源: 评论
Apple Leaf Disease Identification and Classification using ResNet Models
Apple Leaf Disease Identification and Classification using R...
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IEEE international conference on Electronic Information and Communication Technology (ICEICT)
作者: Xin Li Laxmisha Rai College of Electronic and Information Engineering Shandong University of Science and Technology Qingdao China
With the development and popularization of intelligent agricultural system, more and more research and attention have been paid to the detection and identification of leaf diseases. We used data sets of apple grey-spo... 详细信息
来源: 评论
Secure and Efficient IoT Networks: An AI and ML-based Intrusion Detection System
Secure and Efficient IoT Networks: An AI and ML-based Intrus...
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Artificial Intelligence For Internet of Things (AIIoT), international conference on
作者: Mohammed A. Mahdi Department of Information and Computer Science College of Computer Science and Engineering University of Hail Hail City Saudi Arabia
The growing deployment of IoT devices has led to unprecedented interconnection and information sharing. However, it has also presented novel difficulties with security. Using intrusion detection systems (IDS) that are... 详细信息
来源: 评论
Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks  13th
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13th international conference on machine learning and data mining in pattern recognition, MLDM 2017
作者: Antony, Joseph McGuinness, Kevin Moran, Kieran O’Connor, Noel E. Insight Centre for Data Analytics Dublin City University Dublin Ireland School of Health and Human Performance Dublin City University Dublin Ireland
This paper introduces a new approach to automatically quantify the severity of knee OA using X-ray images. Automatically quantifying knee OA severity involves two steps: first, automatically localizing the knee joints... 详细信息
来源: 评论
The Cryptographic Algorithm Identification: Using Deep learning to Empower Smart Grids
The Cryptographic Algorithm Identification: Using Deep Learn...
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Networking Systems of AI (INSAI), international conference on
作者: Mingliang Chen Yayun Zhu Lei Mei Xiaojuan Zhang Sheng Yuan Baiji Hu State Grid Jiangxi Electric Power Co. Ltd. Nanchang China China Electric Power Research Institute Co. Ltd. Beijing China University of Electronic Science and Technology of China Chengdu China
The smart grid has now been fully implemented with a robust defense system that is built on the primary security principles of "security zoning, network specialization, horizontal isolation, and vertical authenti... 详细信息
来源: 评论
Deep learning-based Functional Prediction Model for Genome Sequence
Deep Learning-based Functional Prediction Model for Genome S...
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data Analytics, Computing and Artificial Intelligence (ICDACAI), international conference on
作者: Bo Lan United World College of South East Asia East Singapore Singapore
This study proposes a deep learning-based genome sequence function prediction model and systematically evaluates its performance. The study begins with an overview of the importance of genome sequence function predict... 详细信息
来源: 评论