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检索条件"任意字段=3rd International Conference on Intelligent Data Engineering and Automated Learning"
20256 条 记 录,以下是811-820 订阅
排序:
Employing Machine learning Techniques for Depression Prediction  3
Employing Machine Learning Techniques for Depression Predict...
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3rd international conference for Advancement in Technology, ICONAT 2024
作者: Mishra, Swati Srivastava, Divya JSS Academy of Technical Education Department of Electrical and Electronics Engineering Noida India
This paper focuses on employing various machine learning algorithms- K Nearest Neighbors and Extra Trees. By analyzing patterns in behavioral, physiological, and contextual data, the model aims to identify early indic... 详细信息
来源: 评论
Adaptive Weather Routing for Advanced Ship Navigation: A Comprehensive Review  3
Adaptive Weather Routing for Advanced Ship Navigation: A Com...
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3rd international conference on intelligent data Communication Technologies and Internet of Things, IDCIoT 2025
作者: Venkatesan, Iyyappan Dharanish, M.B. Muthumari Lakshmi, S. Pavithra, S. Dept. of Computer Science and Engineering Chennai Institute of Technology Tamil Nadu Chennai600069 India
Maritime navigation offers a comprehensive approach to optimising ship navigation, in such a way that guarantees the safety and effectiveness of the journey through multiple techniques, like the adaptive weather routi... 详细信息
来源: 评论
Automatic Machine learning Participation in Power Load Forecasting Under the Background of Big data  3
Automatic Machine Learning Participation in Power Load Forec...
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3rd international conference on Energy, Power and Electrical Technology, ICEPET 2024
作者: Zhang, Xueqiu Han, Jinshan North China Electric Power University School of Economics and Management Beijing China
Power load forecasting is one of the important tasks in controlling system costs, and accurate and effective load forecasting can reasonably arrange the operating status of power grid generators. Machine learning, as ... 详细信息
来源: 评论
Exploring Polymer Substrate-based Frequency Reconfigurable Antenna for Cognitive Radio Applications: Design and Analysis  3
Exploring Polymer Substrate-based Frequency Reconfigurable A...
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3rd international conference on intelligent data Communication Technologies and Internet of Things, IDCIoT 2025
作者: Ramyea, R. Kasthuri, N. Kandasamy, Senthil Kumar Mugeshkumar, E. Namitha, S.S. Sakthimurugan, R. Kongu Engineering College Tamil Nadu India
Cognitive Radio (CR) provides an intelligent solution to address spectrum scarcity in wireless communication systems. This research work deals with the designing, simulation, and fabrication of a frequency reconfigura... 详细信息
来源: 评论
Monte Carlo Method and XGBoost Algorithm Based Match Momentum Prediction Study  3
Monte Carlo Method and XGBoost Algorithm Based Match Momentu...
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3rd international conference on data Analytics, Computing and Artificial Intelligence, ICDACAI 2024
作者: Zhang, Putai Lu, Xiaopeng Xie, Chuwei Beihang University Beijing China
Focusing on the analysis and prediction of momentum in tennis matches, this study explores the feasibility of using reinforcement learning (RL) and machine learning methods to solve the problem of dynamic changes in t... 详细信息
来源: 评论
Privacy-Preserving Machine learning for E-Health Applications: A Survey  3
Privacy-Preserving Machine Learning for E-Health Application...
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3rd international conference on Computing and Machine Intelligence (ICMI)
作者: Romeo, Jared Abbass, Mahmoud Sherif, Ahmed Mamun, Mohammad M. R. Khan Elsersy, Mohamed Khalil, Kasem Univ Southern Mississippi Sch Comp Sci & Comp Engn Hattiesburg MS 39406 USA Tennessee Technol Univ Elect & Comp Engn Dept Cookeville TN 38505 USA Higher Coll Technol Comp & Informat Syst Dept Abu Dhabi U Arab Emirates Univ Mississippi Elect & Comp Engn Dept University MS 38677 USA
As more information about people's health is gathered and analyzed, privacy concerns have become increasingly essential. This paper summarizes how machine learning (ML) methods are presently used to safeguard priv... 详细信息
来源: 评论
Extreme learning machine with incremental hidden layers  3
Extreme learning machine with incremental hidden layers
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3rd international conference on Electronic Information engineering, Big data, and Computer Technology, EIBDCT 2024
作者: Zheng, Xuehui Xu, Gaofeng School of Information Technology and Intelligent Manufacturing Shanghai Xingjian College Shanghai China Shanghai Urban Construction Vocational College Shanghai China
The number of hidden nodes have strong influence on the accuracy of ELM (Extreme learning Machine). More hidden nodes are needed as the increase of the size of training data set. Either ELM or Multi-hidden layer neura... 详细信息
来源: 评论
Automatic Classification of Signal and Noise in Functional Magnetic Resonance Imaging Scans Using Convolutional Neural Networks  25th
Automatic Classification of Signal and Noise in Functional M...
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25th international conference on intelligent data engineering and automated learning
作者: Arighelescu, Georgian Chira, Camelia Mansson, Kristoffer N. T. Babes Bolyai Univ Fac Math & Comp Sci Cluj Napoca Romania Babes Bolyai Univ Dept Clin Psychol & Psychotherapy Cluj Napoca Romania Karolinska Inst Ctr Psychiat Res Dept Clin Neurosci Stockholm Sweden
The integration of Artificial Intelligence (AI), particularly deep learning models like VGG16 and ResNet50, in the analysis of functional magnetic resonance imaging (fMRI) data has significantly advanced our understan... 详细信息
来源: 评论
Enhancing Land Use and Land Cover Classification in Satellite Imagery using Vision Transformers: A Comparative Analysis with Convolutional Neural Networks  3
Enhancing Land Use and Land Cover Classification in Satellit...
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3rd international conference on intelligent data Communication Technologies and Internet of Things, IDCIoT 2025
作者: Inisha Sallove, R. Karishma, S. Priya Dharshini, K. Anitha, V. Kalaiselvi, S. Manimaran, V. National Engineering College K.R.Nagar Kovilpatti628503 India
The accurate classification of Land Use and Land Cover (LULC) is imperative for spatial applications such as resource management, environmental monitoring, and satellite image analysis. Methods such as Convolutional N... 详细信息
来源: 评论
In-Home Healthcare Station Using Raspberry Pi Pico  3
In-Home Healthcare Station Using Raspberry Pi Pico
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3rd international conference on intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025
作者: Madake, Jyoti Shilaskar, Swati Bhalerao, Shalmali Chakole, Sharayu Vishwakarma Institute of Technology Department of Electronics and Telecommunication Engineering Pune411037 India
In recent years, the fusion of sensor technology with embedded systems has proven its worth in the domain of personalized healthcare. The purpose of the In-home healthcare system lies in its continuous monitoring of t... 详细信息
来源: 评论