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检索条件"主题词=catboost algorithm"
34 条 记 录,以下是21-30 订阅
排序:
Techno-economics of high ash coal gasification: A machine learning approach using catboost model
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JOURNAL OF CLEANER PRODUCTION 2024年 481卷
作者: Singh, Dharmendra Kumar Kumar, Sandeep Talaipalli Coal Min Project Lailunga Rd Raigarh 496111 CG India NTPC Sch Business Plot 5-14Sect 16 A Noida 201301 India
This work explores the techno-economics of high ash coal gasification using circulating fluidized bed (CFB) gasifier technology at the Talaipalli Coal Mining Project, India being developed by NTPC Limited. The researc... 详细信息
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Electric Vehicle Battery State of Charge Estimation Using Metaheuristic-Optimized catboost algorithms
Franklin Open
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Franklin Open 2025年
作者: Mohd Herwan Sulaiman Zuriani Mustaffa Ahmad Salihin Samsudin Amir Izzani Mohamed Mohd Mawardi Saari Faculty of Electrical and Electronics Engineering Technology Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) 26600 Pekan Pahang Malaysia Center for Advanced Industrial Technology (AIT) Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) 26600 Pekan Pahang Malaysia Faculty of Computing Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) 26600 Pekan Pahang Malaysia Ionic Materials Team Faculty of Industrial Sciences & Technology Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) 26300 Gambang Pahang Malaysia
State of Charge (SoC) estimation plays a crucial role in battery management systems for electric vehicles, directly impacting their operational efficiency and reliability. This study presents a hybrid approach combini... 详细信息
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Renewable power source energy consumption by hybrid machine learning model
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ALEXANDRIA ENGINEERING JOURNAL 2022年 第12期61卷 9447-9455页
作者: Abd El-Aziz, Rasha M. Jouf Univ Coll Sci & Arts Qurayyat Dept Comp Sci Sakakah Saudi Arabia
Today, electricity is in high demand in a variety of places, including hospitals, industry, households, transportation, and communication, among others. Renewable energy is a revolutionary type of energy that is incre... 详细信息
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A novel feature engineered-catboost-based supervised machine learning framework for electricity theft detection
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ENERGY REPORTS 2021年 7卷 4425-4436页
作者: Hussain, Saddam Mustafa, Mohd Wazir Jumani, Touqeer A. Baloch, Shadi Khan Alotaibi, Hammad Khan, Ilyas Khan, Afrasyab Univ Teknol Malaysia Sch Elect Engn Johor Baharu 81310 Malaysia Mehran Univ Engn & Technol Dept Elect Engn SZAB Campus Khairpur Mirs 66020 Pakistan Mehran Univ Engn & Technol Jamshoro Dept Mechatron Engn Sindh 76062 Pakistan Taif Univ Coll Sci Dept Math POB 11099 At Taif 21944 Saudi Arabia Majmaah Univ Coll Sci Al Zulfi Dept Math Al Majmaah 11952 Saudi Arabia South Ural State Univ Inst Engn & Technol Dept Hydraul & Hydraul & Pneumat Syst Lenin Prospect 76 Chelyabinsk 454080 Russia
This paper presents a novel supervised machine learning-based electric theft detection approach using the feature engineered-catboost algorithm in conjunction with the SMOTETomek algorithm. Contrary to the previous li... 详细信息
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Research on Wind Turbine Fault Detection Based on the Fusion of ASL-catboost and TtRSA
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SENSORS 2023年 第15期23卷 6741-6741页
作者: Kong, Lingchao Liang, Hongtao Liu, Guozhu Liu, Shuo Qingdao Univ Sci & Technol Sch Informat Sci & Technol Qingdao 266061 Peoples R China
The internal structure of wind turbines is intricate and precise, although the challenging working conditions often give rise to various operational faults. This study aims to address the limitations of traditional ma... 详细信息
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Multi-functional optimization of mechanical strength and electrical properties in graphite-reinforced cement composites using a hybrid catboost-NSGA-II framework
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MATERIALS TODAY COMMUNICATIONS 2025年 46卷
作者: Abbas, Yassir M. Alsaif, Abdulaziz King Saud Univ Coll Engn Dept Civil Engn Riyadh 12372 Saudi Arabia
The trade-off of mechanical strength and electrical conductivity in cement composites poses a persistent challenge due to the conflicting nature of these properties. Addressing this issue, the present study introduces... 详细信息
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Prediction of Floor Failure Depth Based on Dividing Deep and Shallow Mining for Risk Assessment of Mine Water Inrush
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WATER 2024年 第19期16卷 2786页
作者: Liu, Weitao Han, Mengke Zhao, Jiyuan Shandong Univ Sci & Technol Coll Safety & Environm Engn Qingdao 266590 Peoples R China Shandong Univ Sci & Technol Coll Energy & Min Engn Qingdao 266590 Peoples R China
Understanding and predicting floor failure depth is crucial for both mitigating mine water inrush hazards and safeguarding groundwater resources. Mining activities can significantly disturb the geological strata, lead... 详细信息
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A machine learning model of liquid bridge force and its application in discrete element method
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CONSTRUCTION AND BUILDING MATERIALS 2024年 411卷
作者: Cui, Hanwen Zhao, Honghua Ji, Shunying Zhang, Xingli Awadalseed, Waleed Tang, Hongxiang Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dalian 116023 Peoples R China Dalian Univ Technol Dept Engn Mech Dalian 116023 Peoples R China Dalian Univ Technol State Key Lab Coastal & Offshore Engn Dalian 116023 Peoples R China
Developing an accurate and efficient contact model for discrete element method (DEM) simulation that can describe the microscopic dynamics of low moisture content wet granular systems continues to be a major challenge... 详细信息
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A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning
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JOURNAL OF INTELLIGENT INFORMATION SYSTEMS 2021年 第2期56卷 279-302页
作者: Jain, Nishant Tomar, Abhinav Jana, Prasanta K. Indian Inst Technol ISM Dept Comp Sci & Engn Dhanbad 826004 Bihar India
Employee churn (ECn) is a crucial problem for any organization that adversely affects its overall revenue and brand image. Many machine learning (ML) based systems have been developed to solve the ECn problem. However... 详细信息
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Classification of Liver Disease Using Conventional Tree-Based Machine Learning Approaches with Feature Prioritization Using a Heuristic algorithm
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2024年 第11期15卷 357-363页
作者: Mondal, Proloy Kumar Byeon, Haewon Khulna Univ Engn & Technol Dept Elect & Commun Engn Khulna Bangladesh Inje Univ Dept Digital Antiaging Healthcare BK21 Gimhae 50834 South Korea
Liver disease ranks as one of the leading causes of mortality globally, often going undetected until advanced stages. This study aims to enhance early detection of liver disease by employing machine learning models th... 详细信息
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