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检索条件"主题词=Machine Learning Algorithms"
25808 条 记 录,以下是381-390 订阅
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Approaches for Using machine learning algorithms with Large Label Sets for Rotorcraft Maintenance
Approaches for Using Machine Learning Algorithms with Large ...
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IEEE Aerospace Conference
作者: Seale, Maria Hines, Amanda Nabholz, Grace Ruvinsky, Alicia Eslinger, Owen Rigoni, Nathan Vega-Maisonet, Luis Us Army Engineer Res & Dev Ctr 3909 Halls Ferry Rd Vicksburg MS 39180 USA Aviat & Missile Res Dev & Engn Ctr Huntsville AL USA Univ Puerto Rico PR-108 Mayaguez PR 00682 USA
The US Army Aviation and Missile Research, Development, and Engineering Center (AMRDEC), in collaboration with the US Army Engineer Research and Development Center (ERDC), is using machine learning (ML) to transform t... 详细信息
来源: 评论
Evaluation of machine learning algorithms for Intrusion Detection System  15
Evaluation of Machine Learning Algorithms for Intrusion Dete...
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15th IEEE International Symposium on Intelligent Systems and Informatics (SISY)
作者: Almseidin, Mohammad Alzubi, Maen Kovacs, Szilveszter Alkasassbeh, Mouhammd Univ Miskolc Dept Informat Technol H-3515 Miskolc Hungary Mutah Univ Dept Informat Technol Amman Jordan
Intrusion detection system (IDS) is one of the implemented solutions against harmful attacks. Furthermore, attackers always keep changing their tools and techniques. However, implementing an accepted IDS system is als... 详细信息
来源: 评论
Forecasting Solar Photovoltaic Power Output in the German Jordanian University in Amman Using Artificial Intelligence and machine learning algorithms  10
Forecasting Solar Photovoltaic Power Output in the German Jo...
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10th International Conference on Control, Mechatronics and Automation (ICCMA)
作者: Qaadan, Sahar Alshare, Aiman German Jordanian Univ Mechatron Engn Dept Madaba Jordan German Jordanian Univ Mech & Maintenance Engn Madaba Jordan
Forecasting solar photovoltaic power output is a difficult task, but it is essential for effective solar energy planning. Artificial intelligence and machine learning algorithms are promising to improve the forecastin... 详细信息
来源: 评论
Using Attribute-based Feature Selection Approaches and machine learning algorithms for Detecting Fraudulent Website URLs  10
Using Attribute-based Feature Selection Approaches and Machi...
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10th Annual Computing and Communication Workshop and Conference (CCWC)
作者: Aydin, Mustafa Butun, Ismail Bicakci, Kemal Baykal, Nazife Middle East Tech Univ METU Informat Inst Ankara Turkey Banking Regulat & Supervis Agcy Istanbul Turkey Chalmers Univ Technol Dept Comp Sci & Engn Gothenburg Sweden TOBB Univ Econ & Technol Comp Engn Dept Ankara Turkey METU Comp Engn Dept Northern Cyprus Campus Guzelyurt Cyprus
Phishing is a malicious form of online theft and needs to be prevented in order to increase the overall trust of the public on the Internet. In this study, for that purpose, the authors present their findings on the m... 详细信息
来源: 评论
Travel Time Prediction: Comparison of machine learning algorithms in a Case Study  20
Travel Time Prediction: Comparison of Machine Learning Algor...
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20th IEEE International Conference on High Performance Computing and Communications (HPCC) / 16th IEEE International Conference on Smart City (SmartCity) / 4th IEEE International Conference on Data Science and Systems (DSS)
作者: Goudarzi, Forough Brunel Univ London Coll Engn Design & Phys Sci London England
Travel time prediction has important applications within the field of intelligent transportation, such as vehicle routing, congestion and traffic management. A challenging task in travel time prediction is obtaining d... 详细信息
来源: 评论
Impact Analysis of Stacked machine learning algorithms Based Feature Selections for Deep learning Algorithm Applied to Regression Analysis
Impact Analysis of Stacked Machine Learning Algorithms Based...
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SoutheastCon Conference
作者: Kulkarni, Shrirang Ambaji Gurupur, Varadraj P. King, Christian Univ Cent Florida Sch Global Hlth Management & Informat Orlando FL 32816 USA
Ensemble learning algorithms have proved to be one of the best machine learning algorithms towards optimal performances in terms of regression and classification tasks for a variety of applications. When applied for s... 详细信息
来源: 评论
Defining machine learning algorithms as accident prediction models for Italian two-lane rural, suburban, and urban roads
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INTERNATIONAL JOURNAL OF INJURY CONTROL AND SAFETY PROMOTION 2022年 第4期29卷 450-462页
作者: Fiorentini, Nicholas Leandri, Pietro Losa, Massimo Univ Pisa Engn Sch Dept Civil & Ind Engn DICI Pisa Italy
Four Accident Prediction Models have been defined for Italian two-lane rural, suburban, and urban roads by exploiting different machine learning algorithms. Specifically, a Classification and Regression Tree, a Booste... 详细信息
来源: 评论
Predicting building damage grade by earthquake: a Bayesian Optimization-based comparative study of machine learning algorithms
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Asian Journal of Civil Engineering 2024年 第1期25卷 253-264页
作者: Al-Rawashdeh, Mohammad Al Nawaiseh, Moh’d Yousef, Isam Bisharah, Majdi Alkhadrawi, Sajeda Al-Bdour, Hamza Department of Civil Engineering Faculty of Engineering Al-Balqa Applied University As-Salt Jordan Department of Civil Engineering Faculty of Engineering Amman Arab University Amman Jordan Department of Civil Engineering Munib and Angela Masri Faculty Engineering Aqaba University of Technology Aqaba Jordan Department of Civil Engineering University Putra Malaysia Selangor Serdang Malaysia Water and Environmental Engineering Department Al-Balqa Applied University Huson College Huson Jordan Master of Engineering Project Management Faculty of Engineering Jadara University Irbid Jordan
This study compares Bayesian Optimization-based machine learning systems that anticipate earthquake-damaged buildings and to evaluates building damage classification models. Using metrics, this study evaluates Random ... 详细信息
来源: 评论
ESTIMATING SOIL MOISTURE FROM C AND X BAND SAR USING machine learning algorithms AND COMPACT POLARIMETRY  38
ESTIMATING SOIL MOISTURE FROM C AND X BAND SAR USING MACHINE...
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38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Santi, E. Pettinato, S. Paloscia, S. Dabboor, M. Notarnicola, C. Padovano, A. Greifeneder, F. Cuozzo, G. CNR IFAC Via Madonna del Piano 10 I-50019 Florence Italy Govt Canada Environm & Climate Change Canada Sci & Technol Branch Dorval PQ Canada EURAC Res Inst Earth Observat Viale Druso 1 I-39100 Bolzano Italy
This research aims at exploiting the integration of C- and X-band SAR data for the monitoring of Soil Moisture Content (SMC). Time series of Radarsat2 (RS2) and COSMOSkyMed (CSK) images are collected on two test areas... 详细信息
来源: 评论
Software Defect Estimation Using machine learning algorithms  4
Software Defect Estimation Using Machine Learning Algorithms
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4th International Conference on Computer Science and Engineering (UBMK)
作者: Yalciner, Burcu Ozdes, Merve Hacettepe Univ Comp Engn Ankara Turkey
Software Engineering is a comprehensive domain since it requires a tight communication between system stakeholders and delivering the system to be developed within a determinate time and a limited budget. Delivering t... 详细信息
来源: 评论