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检索条件"任意字段=2022 International Conference on Machine Learning and Data Engineering, ICMLDE 2022"
33669 条 记 录,以下是241-250 订阅
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Reinforcement learning methods for preventive maintenance and machine replacement problem with second-hand equipment  20
Reinforcement Learning methods for preventive maintenance an...
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IEEE 20th international conference on Automation Science and engineering (CASE)
作者: Xiong, Chen Massonnet, Guillaume Thevenin, Simon IMT Atlantique Dept Automat Prod & Informat F-44300 Nantes France
The amount of second-hand manufacturing equipment available in the market is increasing, driven by two primary factors. First, with the rise of reconfigurable assembly lines, manufacturers frequently modify their asse... 详细信息
来源: 评论
Unravelling stress levels in continuous speech through optimal feature selection and deep learning  2
Unravelling stress levels in continuous speech through optim...
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2nd international conference on machine learning and data engineering, icmlde 2023
作者: Duvvuri, Kavya Kanisettypalli, Harshitha Masabattula, Teja Nikhil Vekkot, Susmitha Gupta, Deepa Zakariah, Mohammed Department of Computer Science & Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India Department of Electronics & Communication Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India Department of Computer Engineering College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia
Stress is a psychological or emotional strain that occurs due to adverse experiences in human life. This paper showcases the application of deep learning in detecting stress levels in continuous audio signals in the D... 详细信息
来源: 评论
New Energy Power data Prediction Research based on Cross Validation Method  5
New Energy Power Data Prediction Research based on Cross Val...
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5th international conference on Advances in Electrical engineering and Computer Applications, AEECA 2024
作者: Sun, Lijuan Li, Lan Zhang, Xujuan Lanzhou Institute of Technology School of Computer Science & Artificial Intelligence Lanzhou China
In order to improve the prediction accuracy of photovoltaic power generation and reduce the impact of grid-connected operation of photovoltaic power station on the security, stability and economic operation of power s... 详细信息
来源: 评论
On the Effectiveness of machine learning Experiment Management Tools  44
On the Effectiveness of Machine Learning Experiment Manageme...
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ACM/IEEE 44th international conference on Software engineering - Software engineering in Practice (ICSE-SEIP)
作者: Idowu, Samuel Osman, Osman Struber, Daniel Berger, Thorsten Chalmers Gothenburg Univ Gothenburg Sweden Radboud Univ Nijmegen Nijmegen Netherlands Ruhr Univ Bochum Bochum Germany
machine learning experiment management tools support developers and data scientists on planning, tracking, and retrieving machine-learning experiments and assets when building intelligent software systems. Among other... 详细信息
来源: 评论
SBiLM: Siamese Bi-LSTM model for handling imbalance in fake review detection  2
SBiLM: Siamese Bi-LSTM model for handling imbalance in fake ...
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2nd international conference on machine learning and data engineering, icmlde 2023
作者: Gupta, Richa Kashyap, Indu Jindal, Vinita Manav Rachna International Institute of Research and Studies Haryana Faridabad121004 India Keshav Mahavidyalaya University of Delhi Delhi110034 India
The growing significance of online reviews in e-commerce platforms has a profound impact on consumers' purchase decisions. Unfortunately, dishonest sellers exploit this system by engaging in deceptive practices an... 详细信息
来源: 评论
An intrusion detection model using extreme learning machine  2
An intrusion detection model using extreme learning machine
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2022 2nd conference on High Performance Computing and Communication engineering, HPCCE 2022
作者: Chen, Chen Yang, Bo Ye, Xiaoyan Wang, Biao State Key Laboratory of Astronautic Dynamics Shaanxi Xi’an710043 China Xi’an Satellite Control Center Shaanxi Xi’an710043 China
In the information age, with the increase of data feature dimensions, the performance of intrusion detection system (IDS) in training time and classification accuracy is declining. A large number of researchers have c... 详细信息
来源: 评论
Federated learning Framework for Human Activity Recognition Using Smartphones  2
Federated Learning Framework for Human Activity Recognition ...
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2nd international conference on machine learning and data engineering, icmlde 2023
作者: Dayakaran, Dheeraj Kadiresan, Nalinadevi Amrita Vishwa Vidyapeetham Coimbatore India
Human activity recognition plays a vital role in various applications like healthcare, sports, and smart environments. ... With the increase in the use of smart wearables and sensors, the concern for privacy has incre... 详细信息
来源: 评论
Application of Internet of Things in Smart Environmental Protection in the Context of Big data
Application of Internet of Things in Smart Environmental Pro...
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2022 international conference on Internet of Things and machine learning, IoTML 2022
作者: Guo, Shaoyi Batumenghe School of Design and Art Shenyang Jianzhu University Shenyang China
With the gradual formation of a national digital sharing economy and the growing international concern about environmental issues in developing countries, the emergence of a new "smart environmental protection&qu... 详细信息
来源: 评论
Using machine learning to predict the band gap of semiconductors
Using machine learning to predict the band gap of semiconduc...
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2022 international conference on Electronic Information engineering and Computer Science, EIECS 2022
作者: Yuan, Shuai Nomura, Ken-Ichi Viterbi School of Engineering University of Southern California USC Los AngelesCA United States
To accelerate the speed of finding new materials and to predict the attributes of materials, machine learning has emerged as a very useful tool in recent times. Predicting the band gap of a new material plays a signif... 详细信息
来源: 评论
datastack: Unification of Heterogeneous machine learning dataset Interfaces  38
Datastack: Unification of Heterogeneous Machine Learning Dat...
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38th IEEE international conference on data engineering (ICDE)
作者: Luebbering, Max Pielka, Maren Henk, Ilhamcengiz Sifa, Rafet Fraunhofer IAIS St Augustin Germany
machine learning (ML) dataset preprocessing, cleaning, and integration into ML pipelines is often a cumbersome endeavor that is susceptible to bugs and leads to unstructured code from the start. While existing framewo... 详细信息
来源: 评论