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检索条件"任意字段=2024 International Conference on Computing, Machine Learning and Data Science, CMLDS 2024"
13394 条 记 录,以下是41-50 订阅
排序:
Harmonia: Accurate Federated learning with All-Inclusive dataset  17
Harmonia: Accurate Federated Learning with All-Inclusive Dat...
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IEEE 17th international conference on Cloud computing (IEEE CLOUD)
作者: Choi, Wonmi Ahn, Juyoung Yoo, Yeonho Yoo, Chuck Yang, Gyeongsik Korea Univ Dept Comp Sci & Engn Seoul South Korea
Federated learning (FL) is an appealing model training technique that utilizes heterogeneous datasets and user devices, ensuring user data privacy. Existing FL research proposed device selection schemes to balance the... 详细信息
来源: 评论
Using machine learning to Predict Student Success in Undergraduate Engineering Programs  3
Using Machine Learning to Predict Student Success in Undergr...
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3rd international conference on computing and machine Intelligence (ICMI)
作者: DeJong, Brian P. Karadogan, Ernur Cent Michigan Univ Sch Engn & Technol Mt Pleasant MI 48859 USA
Undergraduate engineering programs are typically considered some of the most challenging as their curricula require students to have an aptitude for math, science, and engineering. The resources (time, effort, funds) ... 详细信息
来源: 评论
machine learning-Based Imputation Techniques Analysis and Study
Machine Learning-Based Imputation Techniques Analysis and St...
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2024 international conference on Electrical, Electronics and computing Technologies, ICEECT 2024
作者: Pindiyan, Agnal Varghese Pramila, R.M. CHRIST University Department of Data Science Bangalore India
Missing values are a significant problem in data analysis and machine learning applications. This study looks at the efficacy of machine learning (ML) - based imputation strategies for dealing with missing data. K-nea... 详细信息
来源: 评论
Maximizing Grid Intelligence: Harnessing Substation Load data via machine learning
Maximizing Grid Intelligence: Harnessing Substation Load Dat...
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2024 international conference on Communications Control and computing Technologies for Smart Grids
作者: Azizi, Elnaz Hua, Weiqi Wallom, David McCulloch, Malcolm Univ Oxford Dept Engn Sci Oxford England Univ Birmingham Electron & Elect Engn Dept Birmingham W Midlands England
Distribution grids are evolving due to rising electricity demand and renewable energy integration, requiring efficient operation and effective planning. To achieve this, one essential step is translating the available... 详细信息
来源: 评论
A Method For Calculating Target data Coverage Based On 3D Model  24
A Method For Calculating Target Data Coverage Based On 3D Mo...
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16th international conference on machine learning and computing (ICMLC)
作者: Li, Xiangzhen Huang, Ping Zhou, Kan Zhang, Peng Zhang, Qiujie Wang, Xiaohang Beijing Inst Technol Natl Key Lab Scattering & Radiat Beijing Peoples R China Beijing Inst Technol Beijing Inst Control & Elect Technol Beijing Peoples R China Natl Key Lab Scattering & Radiat Beijing Peoples R China
This paper introduces a 3D model-based approach to calculate the coverage of target data, which aims to provide an intuitive and efficient way to analyze and evaluate the performance of remote sensing data acquisition... 详细信息
来源: 评论
Optimization of Agriculture Using data science and machine learning  7
Optimization of Agriculture Using Data Science and Machine L...
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7th international conference on Circuit Power and computing Technologies, ICCPCT 2024
作者: Josephin Shermila, P. Rahaman, Syed Atheequr Nithosh Balaji, R. Manoj, Sai R.M.K. College of Engineering and Technology Department of Artificial Intelligence and Data Science India
The research aims to optimize agriculture using data science techniques. Agriculture is a critical sector for sustaining life on earth, and optimizing it can enhance food security and increase the profitability of far... 详细信息
来源: 评论
Leveraging Parallel computing for Enhanced Stock Movement Forecasting Using machine learning  7
Leveraging Parallel Computing for Enhanced Stock Movement Fo...
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7th international Women in data science conference at Prince Sultan University (WiDS-PSU)
作者: Aleissa, Shahd Alakkas, Maryam Albugeaey, Zainab Alshelaly, Hneen Alotaibi, Shahad Alzubaidi, Thuraya Imam Abdulruhman bin Faisal Univ Coll Comp Sci & Informat Technol Dammam Saudi Arabia
The advancements in computational techniques regarding parallel computing and machine learning are revolutionizing stock market prediction, This study explores the effectiveness of parallel computing architectures in ... 详细信息
来源: 评论
Bits and Beats: computing Rhythmic Information as Bitwise Operations Optimized for machine learning  9th
Bits and Beats: Computing Rhythmic Information as Bitwise Op...
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9th international conference on Mathematics and Computation in Music (MCM)
作者: Gualda, Fernando Univ Fed Rio Grande do Sul BR-90020180 Porto Alegre RS Brazil
Effective machine learning algorithms require meticulous data preparation. In contemporary microprocessors, ensuring predictable and efficient memory access is crucial to mitigate cache misses. Therefore, compact data... 详细信息
来源: 评论
An Extensive Analysis of Neuromorphic computing
An Extensive Analysis of Neuromorphic Computing
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2024 international conference on Advances in computing Research on science Engineering and Technology, ACROSET 2024
作者: Vajpayee, Amit Kaur, Palak Preet Sharma, Ankit Varshney, Santosh Parul Institute of Engineering and Technology Department of Computer Science and Engineering Vadodara India Apex Institute of Technology Chandigarh University Department of Bigdata Analytics Mohali India Acropolis Institute of Technology and Research Department of Computer Science and Engineering Indore India
Neuromorphic computing is a new paradigm that emerges from the structure and function of the human brain and aims to revolutionize computing. The technology is designed to simulate the high speed, low power consumptio... 详细信息
来源: 评论
An Optimised Version of Differential Evolution Heuristic for Feature Selection  9th
An Optimised Version of Differential Evolution Heuristic for...
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9th international conference on Metaheuristics and Nature Inspired computing (META)
作者: Anani, Thibault Delbot, Francois Pradat-Peyre, Jean-Francois Univ Paris Nanterre Nanterre France Sorbonne Univ LIP6 Paris France
It is common practice to apply machine learning to real-life data, for example from clinical trials. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
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