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检索条件"主题词=Boosting Algorithms"
80 条 记 录,以下是11-20 订阅
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A comprehensive intrusion detection framework using boosting algorithms
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COMPUTERS & ELECTRICAL ENGINEERING 2022年 100卷 107869-107869页
作者: Kilincer, Ilhan Firat Ertam, Fatih Sengur, Abdulkadir Firat Univ Technol Fac Dept Elect Elect Engn Elazig Turkey Firat Univ Technol Fac Dept Digital Forens Engn Elazig Turkey
Intrusion Detection Systems are one of the most effective technologies that protect systems against cyber-attacks. In this study, a new Comprehensive Cyber Security Intrusion Detection Dataset (CCiDD) was created. The... 详细信息
来源: 评论
An overview of cardiovascular disease infection: A comparative analysis of boosting algorithms and some single based classifiers
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Statistical Journal of the IAOS 2020年 第4期36卷 1189-1198页
作者: Adeboye, Nureni Olawale Abimbola, Olawale Victor Department of Mathematics and Statistics Federal Polythechnic Ilaro Nigeria
Machine learning is a branch of artificial intelligence that helps machines learn from observational data without being explicitly programmed and its methods have been found to be very useful in the modern age for med... 详细信息
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CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling
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BIOINFORMATICS 2018年 第18期34卷 3069-3077页
作者: Peng, Hui Zheng, Yi Blumenstein, Michael Tao, Dacheng Li, Jinyan Univ Technol Sydney Fac Engn & Informat Technol Adv Analyt Inst Broadway NSW 2007 Australia Univ Sydney Fac Engn & Informat Technol Sch Informat Technol Darlington NSW 2008 Australia
Motivation: CRISPR/Cas9 system is a widely used genome editing tool. A prediction problem of great interests for this system is: how to select optimal single-guide RNAs (sgRNAs), such that its cleavage efficiency is h... 详细信息
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Diabetes classification model based on boosting algorithms
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BMC BIOINFORMATICS 2018年 第20180327期19卷 109-109页
作者: Chen, Peihua Pan, Chuandi Wenzhou Med Univ Inst Biopharmaceut Informat & Technol Wenzhou Peoples R China Wenzhou Med Univ Affiliated Hosp 1 Dept Comp Technol & Informat Management Wenzhou City Peoples R China
Background: Diabetes mellitus is a common and complicated chronic lifelong disease. Hence, it is of high clinical significance to find the most relevant clinical indexes and to perform efficient computer-aided pre-dia... 详细信息
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Landslide susceptibility mapping(LSM)based on different boosting and hyperparameter optimization algorithms:A case of Wanzhou District,China
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Journal of Rock Mechanics and Geotechnical Engineering 2024年 第8期16卷 3221-3232页
作者: Deliang Sun Jing Wang Haijia Wen YueKai Ding Changlin Mi Key Laboratory of GIS Application Research Chongqing Normal UniversityChongqing 401331China Key Laboratory of New Technology for Construction of Cities in Mountain Area Ministry of EducationChongqing UniversityChongqing 400045China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing 400045China School of Civil Engineering Chongqing UniversityChongqing 400045China Natural Resources Development Service Center of Linyi Linyi 276000China
boosting algorithms have been widely utilized in the development of landslide susceptibility mapping(LSM)***,these algorithms possess distinct computational strategies and hyperparameters,making it challenging to prop... 详细信息
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Vibration analysis of embedded porous nanobeams under thermal effects using boosting machine learning algorithms and semi-analytical approach
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MECHANICS OF ADVANCED MATERIALS AND STRUCTURES 2024年 第29期31卷 12320-12343页
作者: Tariq, Aiman Uzun, Busra Deliktas, Babur Yayli, Mustafa Ozgur Bursa Uludag Univ Engn Fac Dept Civil Engn Bursa Turkiye
This study presents a thermal vibration analysis of functionally graded porous nanobeams using boosting machine learning models and a semi-analytical approach. Nonlocal strain gradient theory is employed to explore vi... 详细信息
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boosting machine learning algorithms for predicting the macroscopic material behavior of continuous fiber reinforced composite
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JOURNAL OF REINFORCED PLASTICS AND COMPOSITES 2024年
作者: Tariq, Aiman Polat, Ayse Deliktas, Babur Bursa Uludag Univ Engn Fac Dept Civil Engn Gorukle CampusNilufer TR-16059 Bursa Turkiye
Macroscopic mechanical properties of fibrous materials are often characterized by modeling their microscale behavior using micromechanical techniques. This process typically involves using a Representative Volume Elem... 详细信息
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Prediction of nonlinear dynamic responses and generation of seismic fragility curves for steel moment frames using boosting machine learning techniques
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COMPUTERS & STRUCTURES 2024年 305卷
作者: Zareian, Farzaneh Banazadeh, Mehdi Zareian, Mohammad Sajjad Amirkabir Univ Technol Dept Civil & Environm Engn Tehran Iran Shahab Danesh Univ Dept Civil Engn Qom Iran
The main objective of this paper is to develop machine learning (ML) models for predicting the seismic responses of steel moment frames. For this purpose, four boosting ML techniques-gradient boosting, XGBoost, LightG... 详细信息
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boosting the visibility of services in microservice architecture
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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2024年 第3期27卷 3099-3111页
作者: Tokmak, Ahmet Vedat Akbulut, Akhan Catal, Cagatay Istanbul Kultur Univ Dept Comp Engn TR-34536 Istanbul Turkiye Qatar Univ Dept Comp Sci & Engn Doha 2713 Qatar
Monolithic software architectures are no longer sufficient for the highly complex software-intensive systems, which modern society depends on. Service Oriented Architecture (SOA) surpassed monolithic architecture due ... 详细信息
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Performance evaluation of boosting machine learning algorithms for lithofacies classification in heterogeneous carbonate reservoirs
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MARINE AND PETROLEUM GEOLOGY 2022年 145卷
作者: Al-Mudhafar, Watheq J. Abbas, Mohammed A. Wood, David A. Basrah Oil Co Basrah Iraq Basrah Oil Co Petrophys Basrah Iraq DWA Energy Ltd Lincoln England
Lithofacies classification from well logs recorded through heterogeneous carbonate reservoirs helps to improve reservoir discrimination with respect to fluid flow and storage capabilities. A novel technique is develop... 详细信息
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