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检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"
580 条 记 录,以下是181-190 订阅
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AI and Big data for the management of COVID-19
AI and Big Data for the management of COVID-19
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Renewable Solutions for Ecosystems: Towards a Sustainable Energy Transition (ICRSEtoSET), international Conference on
作者: Dina El Kayaly Sherifa Elhady Nahla Hazem Tawfik Ismail Irene Samy Fahim International Business New Giza University Cairo Egypt Sesc Research Center Nile University Sheikh Zayed Giza Egypt Management of Technology Nile University Sheikh Zayed Giza Egypt Wireless Intelligent Networks Center (WINC) Nile University Giza Egypt
In March 2020, World Health Organization (WHO) recognized COVID-19 as a pandemic and urged governments to exert maximum efforts to prevent its spreading through political decisions together with public awareness campa... 详细信息
来源: 评论
GBCI: Adaptive Frequency Band learning for Gender recognition in Brain-Computer Interfaces  1st
GBCI: Adaptive Frequency Band Learning for Gender Recogniti...
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1st CAAI international Conference on Artificial Intelligence, CICAI 2021
作者: Wang, Pengpai Zhou, Yueying Li, Zhongnian Zhang, Daoqiang College of Computer Science and Technology MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing University of Aeronautics and Astronautics Nanjing211106 China
In recent years, with the rapid development of brain-computer interface (BCI) technology, various applications based on BCI have generated significant interest. A motivating application of BCI is predicting human gend... 详细信息
来源: 评论
Forklift Truck Activity recognition from CAN data  2nd
Forklift Truck Activity Recognition from CAN Data
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2nd international workshop on IoT streams for data-Driven Predictive Maintenance, IoT streams 2020, and 1st international workshop on IoT, Edge, and Mobile for Embedded machine learning, ITEM 2020, co-located with ECML/PKDD 2020
作者: Chen, Kunru Pashami, Sepideh Nowaczyk, Slawomir Johansson, Emilia sternelöv, Gustav Rögnvaldsson, Thorsteinn Center for Applied Intelligent Systems Research Halmstad University Halmstad Sweden Toyota Material Handling Europe Mjölby Sweden
machine activity recognition is important for accurately estimating machine productivity and machine maintenance needs. In this paper, we present ongoing work on how to recognize activities of forklift trucks from on-... 详细信息
来源: 评论
Applying data mining technique to predict trends in air pollution in Mumbai  1
Applying data mining technique to predict trends in air poll...
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1st international Conference on Advances in Computational Science and Engineering, ICACSE 2020
作者: Sadhasivam, Jayakumar Muthukumaran, V. Thimmia Raja, J. Vinothkumar, V. Deepa, R. Nivedita, V. Vellore Institute of Technology Vellore India Department of Mathematics School of Applied Science REVA University Bengaluru64 India School of Computing Kalasalingam Academy of Research and Education Tamilnadu 626128 India Department of Computer Science and Engineering MVJ College of Engineering Bangalore India Telangana Hyderabad India Department of Computer Science and Engineering Dr. MGR Educational and Research Institute Chennai India
Prediction of air quality is a topic of great interest in air quality research due to direct association with health effect. The prediction provides pre-information to the overall population of the area about the stat... 详细信息
来源: 评论
machine learning Methods for Extraction and Classification for Biometric Authentication  1st
Machine Learning Methods for Extraction and Classification f...
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1st international Conference on data Science, machine learning and Applications, 2019
作者: Gunjan, Vinit Kumar Prasad, Puja S. Pathak, Rashmi Kumar, Amit Department of CSE CMR Institute of Technology Hyderabad India Department of CSE Geethanjali College of Engineering and Technology Hyderabad India Department of CSE Siddhant College of Engineering Pune India Department of CSE SJB Institute of Technology Bengaluru India
In this paper our main focus is to discover different machine learning techniques that are useful biometric System. As biometric authentication system is a combination of both image processing and pattern recognition,... 详细信息
来源: 评论
An Ensemble learning-Based Undersampling Technique for Handling Class-Imbalance Problem  1st
An Ensemble Learning-Based Undersampling Technique for Handl...
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1st international Conference on Emerging Trends in Information Technology (ICETIT)
作者: Sarkar, Sobhan Khatedi, Nikhil Pramanik, Anima Maiti, J. IIT Kharagpur Dept Ind & Syst Engn Kharagpur W Bengal India
Real-world data commonly have an issue of class-imbalance, which poses a big challenge in pattern recognition and machine learning tasks. To handle this issue, we have proposed an ensemble learning-based undersampling... 详细信息
来源: 评论
15th workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems, DECSoS 2020, 1st international workshop on Dependable Development-Operation Continuum Methods for Dependable Cyber-Physical Systems, DepDevOps 2020, 1st international workshop on Underpinnings for Safe Distributed AI, USDAI 2020, and 3rd international workshop on Artificial Intelligence Safety Engineering, WAISE 2020, held in conjunction with the 39th international Conference on Computer Safety, Reliability and Security, SAFECOMP 2020
15th Workshop on Dependable Smart Embedded and Cyber-Physica...
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15th workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems, DECSoS 2020, 1st international workshop on Dependable Development-Operation Continuum Methods for Dependable Cyber-Physical Systems, DepDevOps 2020, 1st international workshop on Underpinnings for Safe Distributed AI, USDAI 2020, and 3rd international workshop on Artificial Intelligence Safety Engineering, WAISE 2020, held in conjunction with the 39th international Conference on Computer Safety, Reliability and Security, SAFECOMP 2020
The proceedings contain 31 papers. The special focus in this conference is on Dependable Smart Embedded and Cyber-Physical Systems. The topics include: A Framework for Building Uncertainty Wrappers for AI/ML-Based Dat...
来源: 评论
Deep learning Approaches to Intrusion Detection: A new Performance of ANN and RNN on NSL-KDD  20
Deep Learning Approaches to Intrusion Detection: A new Perfo...
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1st international Conference on Intelligent Systems and pattern recognition, ISPR 2020
作者: Chaibi, Nassima Atmani, Baghdad Mokaddem, Mostefa Universitè Oran Oran Algeria
In recent years, Cyber Security has become a major concern in scientific research. machine learning (ML) and Deep learning (DL) methods detect intrusions and attacks on the network by predicting risk using data traini... 详细信息
来源: 评论
CycleFootprint: A Fully Automated Method for Extracting Operation Cycles from Historical Raw data of Multiple Sensors  2nd
CycleFootprint: A Fully Automated Method for Extracting Oper...
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2nd international workshop on IoT streams for data-Driven Predictive Maintenance, IoT streams 2020, and 1st international workshop on IoT, Edge, and Mobile for Embedded machine learning, ITEM 2020, co-located with ECML/PKDD 2020
作者: Fanaee-T, Hadi Bouguelia, Mohamed-Rafik Rahat, Mahmoud Blixt, Jonathan Singh, Harpal Center for Applied Intelligent Systems Research Halmstad University Halmstad Sweden Alfa Laval Tumba AB Tumba Sweden
Extracting operation cycles from the historical reading of sensors is an essential step in IoT data analytics. For instance, we can exploit the obtained cycles for learning the normal states to feed into semi-supervis... 详细信息
来源: 评论
Understanding Automated Feedback in learning Processes by mining Local patterns  16th
Understanding Automated Feedback in Learning Processes by Mi...
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14th BPI international workshop / 11th BPM workshop / 1st PODS4H international workshop / 1st AI4BPM international workshop / 1st CCBPM international workshop / 3rd PQ international workshop / 2nd BP-meet-IoT international workshop
作者: Deeva, Galina De Weerdt, Jochen Katholieke Univ Leuven Dept Decis Sci & Informat Management Fac Econ & Business Leuven Belgium
Process mining, and in particular process discovery, provides useful tools for extracting process models from event-based data. Nevertheless, certain types of processes are too complex and unstructured to be able to b... 详细信息
来源: 评论