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检索条件"任意字段=2024 International Conference on Computing, Machine Learning and Data Science, CMLDS 2024"
13410 条 记 录,以下是161-170 订阅
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machine learning in Agriculture: A Land data Approach to Optimize Crop Choice with the LAGNet Model  6
Machine Learning in Agriculture: A Land Data Approach to Opt...
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6th IEEE international conference on Emerging Smart computing and Informatics, ESCI 2024
作者: Bala Kamatchi, C. Muthukumaravel, A. Bharath Institute of Higher Education and Research Department of Computer Science Tamil Nadu Chennai India Bharath Institute of Higher Education and Research Faculty of Arts and Science Tamil Nadu Chennai India
Adopting machine learning in agriculture is essential for improving crop selections and increasing crop yield. Traditional crop selection methods sometimes rely on limited data, local knowledge, and outdated practices... 详细信息
来源: 评论
Flood Forecasting with Classical and Quantum machine learning Models: A Comparative Analysis
Flood Forecasting with Classical and Quantum Machine Learnin...
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2024 international conference on Intelligent computing and Sustainable Innovations in Technology, IC-SIT 2024
作者: Perla, Madhavi Jagadish, Sripelli Aggarwal, Alankrita Maram, Balajee Creesy, R. Das, Smritilekha GMRIT Department of CSE-AIML Andhra Pradesh Rajam India SR University School of Computer Science and Artificial Intelligence Telangana Warangal506371 India University Institute of Engineering Apex Institute of Technology Chandigarh University Gharuan Department of Computer Science and Engineering Punjab Mohali140413 India Tamil Nadu Chennai77 India Koneru Lakshmaiah Education Foundation Department of CSE AP Vaddeswaram India
Flood forecasting is one of the most disastrous natural phenomena;however, its prediction with sufficient accuracy can help to at least reduce the damage caused by this potentially disastrous event. Additionally, in t... 详细信息
来源: 评论
Multi-task learning Model for Location Estimation Using RSSI of Wireless LAN in NLoS Environment  24
Multi-task Learning Model for Location Estimation Using RSSI...
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16th international conference on machine learning and computing (ICMLC)
作者: Wei, Zehui Ding, Jianbing Wang, Zening Wang, Xidong Ye, Xiaozhou Ouyang, Ye AsiaInfo Technol China Inc Beijing Peoples R China
In 6G networks, applying native AI/ML techniques to user signal quality data to obtain high-precision location estimation is a typical application scenario. Recent advanced techniques using global positioning system (... 详细信息
来源: 评论
Classification of Fetal Health on Cardiotocograph data using machine learning Techniques  15
Classification of Fetal Health on Cardiotocograph Data using...
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15th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2024
作者: Deepa, M.S. Sujithra, M. Department of Computing-Data Science Coimbatore Institute of Technology Tamil Nadu Coimbatore India
Pregnancy and fetus development is an incredibly intricate biological process that can go wrong when the health of fetus or the mother gets ***, India has the highest number of stillbirths, with an estimated 5,92,100 ... 详细信息
来源: 评论
Comparative Analysis of machine learning Models for Solar Power Generation Prediction  10
Comparative Analysis of Machine Learning Models for Solar Po...
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10th international conference on Smart computing and Communication, ICSCC 2024
作者: Orish, Goodness Chinaza Tackie, Samuel Nii Kayali, Devrim Alpan, Kezban Vafaei, Lida Ebrahimi Dimililer, Kamil Near East University Department of Electrical and Electronic Engineering Nicosia Cyprus Research Center for Science Technology and Engineering Near East University Department of Electrical and Electronic Engineering Nicosia Cyprus Research Center for Science Technology and Engineering Near East University Department of Software Engineering Nicosia Cyprus Research Center for Science Technology and Engineering Near East University Department of Alternative Energy Resources Technology Nicosia Cyprus Department of Electrical and Electronic Engineering Nicosia Cyprus
When constructing renewable energy facilities, it is important to predict the amount of solar electricity generated precisely. To make these precise solar power output forecasts, varying weather patterns should be con... 详细信息
来源: 评论
Fededrated learning: Research, Challenges, and Future Directions  5
Fededrated Learning: Research, Challenges, and Future Direct...
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5th IEEE international conference on computing, Power, and Communication Technologies, IC2PCT 2024
作者: Kaswan, Kuldeep Singh Dhatterwal, Jagjit Singh Yadav, Rishika Malik, Kiran Tripathi, Aanjey Mani Galgotias University School of Computing Science and Engineering UP Greater Noida India Artificial Intelligence and Data Science Koneru Lakshmaiah Education Foundation AP Guntur India Graphic Era Hills University Department of Computer Science and Engineering Uttarakhand Dehradun India Mriem Department of Computer Science and Engineering Rohtak India Galgotias University School of Computing Science and Engineering Greater Noida India
Federated learning, a disruptive and novel aspect of machine learning, is at the forefront of decentralized, privacy-conscious data processing. This in-depth review study navigates the complex environment of Federated... 详细信息
来源: 评论
Modern Agriculture: A Review of Emerging Crop Yield Prediction Models Using machine learning  2
Modern Agriculture: A Review of Emerging Crop Yield Predicti...
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2nd IEEE international conference on Advancements and Key Challenges in Green Energy and computing, AKGEC 2024
作者: Agiwal, Priyanka Gupta, Rajendra RNTU University Department of computer science and It M.P Bhopal India
Accurately predicting crop yields is a very critical component of global food safety and agricultural efficiency. Such is a multifaceted approach toward crop yield prediction explored in the present study. Anchoring o... 详细信息
来源: 评论
An Energy-Efficient Ensemble Approach for Mitigating data Incompleteness in IoT Applications  20
An Energy-Efficient Ensemble Approach for Mitigating Data In...
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20th Annual international conference on Distributed computing in Smart Sensor Systems and the Internet of Things (DCOSS-IoT)
作者: AlShehri, Yousef Ramaswamy, Lakshmish Univ Georgia Sch Comp Athens GA 30602 USA
The dynamic nature of many IoT ecosystems poses unique challenges to the efficacy of IoT ML-based applications. One such challenge is data incompleteness. Furthermore, most IoT systems are severely power-constrained. ... 详细信息
来源: 评论
Usage of Basic Geometrical Ideas and Principles of Symmetry for machine learning
Usage of Basic Geometrical Ideas and Principles of Symmetry ...
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2024 international conference on System, Computation, Automation and Networking, ICSCAN 2024
作者: Srivastava, Vatsal Subramanian, Sakthitharan School of Computing Srm Institute of Technology Department of Computational Intelligence Chennai India School of Computing Srm Institute of Science and Technology Department of Computational Intelligence Chennai India
The paper discusses the usage of geometric principles and theories in order to manipulate the position of decision boundary itself to classify data points belonging to two different classes. Moving away from the close... 详细信息
来源: 评论
machine learning and Cloud computing: Synergies And Innovations for data-Driven Insights  7
Machine Learning and Cloud Computing: Synergies And Innovati...
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7th international conference on Contemporary computing and Informatics, IC3I 2024
作者: Sadhankar, Dileep S. Santhoshkumar, S.P. Sharma, M.K. Saxena, Pratha Reddy, Ch. Srinivasa Jain, Amit Kumar St. Francis De Sales College Department of Computer Science Maharashtra Nagpur India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology School of Computing Department of Computer Science and Engineering Avadi Chennai600062 India Chaudhary Charan Singh University Uttar Pradesh Meerut250004 India Invertis university UP Bareilly India Department of Information Technology Duvvada Visakhapatnam India Poornima University Department of Electrical & Electronics Engineering Rajasthan Jaipur303905 India
This paper aims at discussing the interaction between cloud computing and machine learning in analyzing the data since they boost the analytical ability of insights through boosting the predictability and operational ... 详细信息
来源: 评论