Results 241 to 250 of about 91,735 (266)

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

Engineering with Computers, 2021
Accurate prediction of ground vibration caused by blasting has always been a significant issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon to nearby buildings and should be prevented. In this regard, a new intelligent method for predicting peak particle velocity (PPV) induced by blasting had been developed ...
Yingui Qiu, Jian Zhou, Manoj Khandelwal, Haitao Yang, Peixi Yang, Chuanqi Li   +5 more
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Crude oil price forecasting using XGBoost

2017 International Conference on Computer Science and Engineering (UBMK), 2017
One of the most important role of economic variables in today's world countries are the price and the change of the price of crude oil. Changes in the price of crude oil have a very critical role in terms of treasury and budget, both in company and state planning.
Gumus, Mesut, Kiran, Mustafa S.
openaire   +2 more sources

Single-Sentence Compression using XGBoost

International Journal of Information Retrieval Research, 2019
Sentence compression is known as presenting a sentence in a fewer number of words compared to its original one without changing the meaning. Recent works on sentence compression formulates the problem as an integer linear programming problem (ILP) then solves it using an external ILP-solver which suffers from slow running time.
Deepak Sahoo, Rakesh Chandra Balabantaray   +1 more
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PM2.5 Prediction Based on XGBoost

2020 7th International Conference on Information Science and Control Engineering (ICISCE), 2020
Haze pollution is a serious weather condition which occurs frequently in mainland China. As there has been an increasing worldwide research interest around topics in environment protection and human health, PM2.5 concentration is regarded as a vital index to reflect the air quality.
Liumei Zhang, Yangna Ji, Tianshi Liu, Jiao Li   +3 more
openaire   +1 more source

RAINFALL PREDICTION USING XGBOOST

International Scientific Journal of Engineering and Management
India is a farming nation and its economy heavily depends on crop productivity and rainfall. Rainfall prediction is necessary and required to all farmers in order to analyze the crop productivity. Rainfall Prediction is the use of science and technology for forecasting the condition of the atmosphere. It is necessary to precisely calculate the rainfall
Erusu Kata Raju Reddy, Thamada Saikumar
openaire   +1 more source

Estimating hair density with XGBoost

International Journal of Cosmetic Science
AbstractObjectivesHair density estimation is crucial in dermatology and trichology; however, manual counting is time‐consuming and error‐prone. Although automated approaches have been developed using image processing, neural networks, and deep learning, creating a robust and widely applicable method remains challenging.
Yi‐Fan Wang, Mei‐Hua Hsu, Max Yue‐Feng Wang, Jun‐Wei Lin   +3 more
openaire   +2 more sources