Results 291 to 300 of about 150,441 (331)

Long-Term Energy and Peak Power Demand Forecasting Based on Sequential-XGBoost

IEEE Transactions on Power Systems
Long-term energy and peak power forecast are essential tasks for the effective planning of power systems. Utilities often conduct long-term energy consumption and peak power demand forecasting separately through different forecasting frameworks ...
Tingze Zhang, Xinan Zhang, Osaka Rubasinghe, Yulin Liu, Y. Chow, H. Iu, Tyrone Fernando   +6 more
semanticscholar   +1 more source

Fusion of convolutional neural network with XGBoost feature extraction for predicting multi-constituents in corn using near infrared spectroscopy.

Food Chemistry
Near-infrared (NIR) spectroscopy has been widely utilized to predict multi-constituents of corn in agriculture. However, directly extracting constituent information from the NIR spectra is challenging due to many issues such as broad absorption band ...
Xin Zou, Qiaoyun Wang, Yinji Chen, Jilong Wang, Shunyuan Xu, Ziheng Zhu, Chongyue Yan, Peng Shan, Shuyu Wang, Yongqing Fu   +9 more
semanticscholar   +1 more source

Road Accident Prediction Using Xgboost

2022 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2022
Katha Mehta, Shagun Jain, Amisha Agarwal, Archana Bomnale   +3 more
openaire   +1 more source

Bird Apprehension Forecasting with XGBoost

Anais do Computer on the Beach
ABSTRACTThis article applied exploratory data analysis (EDA) and time seriesforecasting using extreme gradient boosting (XGBoost) to birdapprehension data from the Brazilian Institute of Environmentand Renewable Natural Resources (IBAMA) covering 2010 to 2024,the dataset processed included 150,000 records, filtered to focuson significant patterns ...
Fabrício Pereira Diniz, José Luis Seixas Junior, Guilherme Henrique de Souza Nakahata   +2 more
openaire   +1 more source

Research on prediction of multi-class theft crimes by an optimized decomposition and fusion method based on XGBoost

Expert Systems With Applications, 2022
Siyuan Chen, Zhigang Xu
exaly  

Heart Disease Prediction Using XGBoost

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), 2022
Srichand Doki, Siddhartha Devella, Sumanth Tallam, Sai Sujeeth Reddy Gangannagari, P. Sampathkrishna Reddy, G. Pradeep Reddy   +5 more
openaire   +1 more source

Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost)

The Arabian journal for science and engineering, 2022
T. Kavzoglu, A. Teke
semanticscholar   +1 more source

Ensemble XGBoost schemes for improved compressive strength prediction of UHPC

Structures, 2023
May Huu Nguyen, Thuy-Anh Nguyen, Hai-Bang Ly   +2 more
exaly  

Optimized intrusion detection and secure data management in IoT networks using GAO-Xgboost and ECC-integrated blockchain framework

Knowledge and Information Systems
Himanshu Nandanwar, R. Katarya
semanticscholar   +1 more source

Meta-XGBoost for Hyperspectral Image Classification Using Extended MSER-Guided Morphological Profiles

Remote Sensing, 2020
Alim Samat, Erzhu Li, Wei Wang
exaly