Zobrazeno 1 - 10
of 1 696
pro vyhledávání: '"CatBoost"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Extensive studies support using steel tubes to enhance the structural integrity of rubber aggregate concrete (RBAC), namely RBAC-filled steel tubes (RCFST). However, current design codes for assessing the axial compressive behaviour of circu
Externí odkaz:
https://doaj.org/article/d22381809bd9482dadc8aad39111e33f
Autor:
Urvashi Agrawal, Narendra Bawane, Najah Alsubaie, Mohammed S. Alqahtani, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract A novel method for discovery of adulteration in edible oil is proposed based on concept of refractive index and electronic sensors. The research work focusses on two distinct methodologies like employing datasets and implementing a fumigatio
Externí odkaz:
https://doaj.org/article/f9e4317b9df047259bcdfe46b266aa60
Autor:
Khaled Megahed
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract This study uses symbolic regression with a strut-and-tie model to predict the shear strength of reinforced concrete deep beams (RCDBs) and corbels (RCCs). Previous studies have proposed two distinct types of models for estimating shear capac
Externí odkaz:
https://doaj.org/article/c282f8bafa4c4002bf79c1cf1fabb3ea
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Accurate and efficient identification of water inrush sources, as one of the three critical elements of mine water hazards, is crucial for mine water management. To identify the sources of mine water inrush effectively, a model named HBA-Cat
Externí odkaz:
https://doaj.org/article/ae3b5f3205ea47ddbe034cc7d928c3ec
Autor:
Mohammad-Reza Mohammadi, Aydin Larestani, Mahin Schaffie, Abdolhossein Hemmati-Sarapardeh, Mohammad Ranjbar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Carbon dioxide (CO2) is the main greenhouse gas that drives global warming, climate change, and other environmental issues. CO2 absorption using amine solvents stands out as one of the most well-known industrial technologies of CO2 capture.
Externí odkaz:
https://doaj.org/article/82a8f273fc4d4d639fe432dd9bf908ac
Autor:
Yingui Qiu, Jian Zhou
Publikováno v:
Underground Space, Vol 19, Iss , Pp 101-118 (2024)
Rockburst is a major challenge to hard rock engineering at great depth. Accurate and timely assessment of rockburst risk can avoid unnecessary casualties and property losses. Despite the existence of various methods for rockburst assessment, there re
Externí odkaz:
https://doaj.org/article/39d12db1e91b4be0b828415dd2db0884
Autor:
M. M. Charnine, S. S. Kalinin
Publikováno v:
СибСкрипт, Vol 26, Iss 4, Pp 567-575 (2024)
Natural language processing methods can be used to predict advanced application trends in formal ontologies. Formal ontologies help to formalize the characteristics of objects in various domains. As a result, machine learning programs identify patter
Externí odkaz:
https://doaj.org/article/c69a90eb12fa49d9baed61641e71480b
Momentum prediction models of tennis match based on CatBoost regression and random forest algorithms
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract As we all know, momentum plays a crucial role in ball game. Based on the 2023 Wimbledon final data, this paper investigated momentum in tennis. Firstly, we initially trained a decision tree regression model on reprocessed data for prediction
Externí odkaz:
https://doaj.org/article/ec7925b6ae544aa38ee64802c6cce08a
Publikováno v:
Computational and Mathematical Biophysics, Vol 12, Iss 1, Pp 310-695 (2024)
Although heart disease stands as a prominent contributor to worldwide deaths, not all individuals affected by it ultimately fall prey to its effects. Timely diagnosis and effective treatment can offer those with heart conditions a high-quality life i
Externí odkaz:
https://doaj.org/article/bf466b08755a4767a5ae22fc21531e1a
Autor:
WANG Shengjie, ZHANG Qinghong
Publikováno v:
Dianxin kexue, Vol 40, Pp 121-133 (2024)
In the telecom industry, accurate prediction of customer churn is crucial for the companies involved to maintain market competitiveness and increase revenue. To this end, a customer churn prediction framework combining CatBoost algorithm and SHAP mod
Externí odkaz:
https://doaj.org/article/6fd55b0470aa42e6b502ee09d5d24b17