Results 21 to 30 of about 7,680 (217)

Comparison of CatBoost and LightGBM Models for Air Humidity Prediction

Journal of Applied Informatics and Computing
This study uses historical weather data from the Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) to evaluate the performance of two combination machine learning models, LightGBM and CatBoost, in predicting air humidity.
Tangkas Surya Wibawa, Novita Kurnia Ningrum, Ahmad Syahreza   +2 more
doaj   +1 more source

Research on a power user classification model based on WRSR and BOA-Catboost

Zhejiang dianli, 2023
Power sales business stands on reasonable assessment of power users by power sales enterprises. The present assessment methods are incomprehensive and less applied. Therefore， a power user classification model is proposed based on WRSR （weighted rank-sum
ZHONG Zan, XING Yi, YU Wei, LI Jian, LIU Guangsheng   +4 more
doaj   +1 more source

Integrating Feature Selection and Machine Learning Boosting for Accurate Breast Cancer Prediction

Proceedings of the International Conference on Applied Innovations in IT
Breast cancer is a prevalent and devastating disease and remains a major contributor to cancer-related mortality among women worldwide. The increasing incidence and fatality rates are often associated with changes in lifestyle and the influence of ...
Wisal Hashim Abdulsalam, Ruma Kareem K. Ajeena, Mohammed Ayad Saad   +2 more
doaj   +1 more source

Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin [PDF]

Advances in Engineering and Intelligence Systems
Accurate and reliable runoff forecasts are essential for effective water resource management and flood control operations. Hydrological forecasting plays a key role in decision-making, especially under changing climate conditions.
Reza Seifi Majdar, Ali Rahnamaei, Vahid Babazadeh   +2 more
doaj   +1 more source

CatBoost mine pressure appearance prediction based on Bayesian algorithm optimization

Gong-kuang zidonghua, 2023
Obtaining mine pressure data through traditional monitoring methods and using statistical or machine learning algorithms to predict mine pressure can no longer meet the requirements of intelligent development in mines. It is necessary to seek new methods
CHAI Jing, ZHANG Ruixin, OUYANG Yibo, ZHANG Dingding, WANG Runpei, TIAN Zhicheng, LIU Hongrui, HAN Zhicheng   +7 more
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Credit Risk Detection in Peer-to-Peer Lending Using CatBoost

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
P2P lending (Peer-to-peer lending) is widely used by private borrowers, small businesses, and MSMEs because P2P lending allows individuals and businesses to be able to lend money directly from lenders without the stringent requirements and criteria of ...
Fadhlurrahman Akbar Nasution, Siti Saadah, Prasti Eko Yunanto   +2 more
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Optimization CatBoost using GridSearchCV for Sentiment Analysis Customer Reviews in Digital Transportation Industry

TIERS Information Technology Journal
The rapid expansion of ride-hailing services has generated a massive volume of user feedback, making automated sentiment analysis essential for understanding customer satisfaction. This study aims to classify public sentiment towards the Uber application
Yahya Nur Ifriza, Ratna Nur Mustika Sanusi, Hendra Febriyanto, Azlina Kamaruddin   +3 more
doaj   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source