Results 21 to 30 of about 7,493 (200)
IoT Botnet Attack Detection Model Based on DBO-Catboost
Applied Sciences, 2023 With the widespread adoption of Internet of Things (IoT) technology, the increasing number of IoT devices has led to a rise in serious network security issues. Botnets, a major threat in network security, have garnered significant attention over the past
Changjin Yang, Weili Guan, Zhijie Fang
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GIScience & Remote Sensing, 2021 Quantifying total carbon (TC) stocks in soil across various mangrove ecosystems is key to understanding the global carbon cycle to reduce greenhouse gas emissions. Estimating mangrove TC at a large scale remains challenging due to the difficulty and high
Tien Dat Pham +7 more
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Barekeng, 2022 Diabetes mellitus as a metabolic disease characterized by hyperglycemia can be dangerous if it cannot be handled properly. Early detection of existing symptoms can reduce the impact of delays in treatment.
Novia Permatasari +3 more
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A Comparative Study of CatBoost and Double Random Forest for Multi-class Classification
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Multi-class classification has its challenge compared to binary classification. The challenges mainly caused by the interactions between explanatory and responses variable are increasingly complex.
Annisarahmi Nur Aini Aldania +2 more
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Introducing a Novel Method for Determining the Future Price of the Financial Markets: A Case Study of the Hang Seng Index [PDF]
Journal of Artificial Intelligence and System ModellingThe stock market is highly complex, with numerous unpredictable factors influencing stock prices. The relationship between supply and demand, alongside external events, makes it difficult to forecast future market behavior with high accuracy. While stock
Afreen Akashi +2 more
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Sand Cat Swarm Optimizer with CatBoost for Sarcoidosis Diagnosis
2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI), 2023 In the last few years, machine learning has increased in popularity across many disciplines. This paper aims to comprehensively analyze the CatBoost classification algorithm in the context of Sarcoidosis. Analysis was undertaken to evaluate the performance of the CatBoost classification algorithm in comparison to other classifiers.
Youssef, Merna +5 more
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Research on a short-term photovoltaic power prediction method based on CatBoost
Zhejiang dianli, 2023 The intermittent and fluctuating generation power of PV power plants has an increasingly prominent impact on the safe， stable， and economical operation of power grids.
CHEN Haihong +3 more
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CatBoostLSS -- An extension of CatBoost to probabilistic forecasting
CoRR, 2020 We propose a new framework of CatBoost that predicts the entire conditional distribution of a univariate response variable. In particular, CatBoostLSS models all moments of a parametric distribution (i.e., mean, location, scale and shape [LSS]) instead of the conditional mean only.
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CatBoost-Based Automatic Classification Study of River Network
ISPRS International Journal of Geo-Information, 2023 Existing research on automatic river network classification methods has difficulty scientifically quantifying and determining feature threshold settings and evaluating weights when calculating multi-indicator features of the local and overall structures of river reaches.
Di Wang, Haizhong Qian
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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 +4 more
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