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Md Saikat Hosen, Ruhul Amin
Pág. 85 - 100
Gradient boosting machines, the learning process successively fits fresh prototypes to offer a more precise approximation of the response parameter. The principle notion associated with this algorithm is that a fresh base-learner construct to be extremel...
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Yaxiang Liu, Tao Liang, Mengxin Zhang, Nijie Jing, Yudong Xia and Qiang Ding
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Rashinda Wijethunga, Hooman Nouraei, Craig Zych, Jagath Samarabandu and Ayan Sadhu
Supermarket refrigeration systems are integral to food security and the global economy. Their massive scale, characterized by numerous evaporators, remote condensers, miles of intricate piping, and high working pressure, frequently leads to problematic l...
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Haoyu Lin, Pengkun Quan, Zhuo Liang, Dongbo Wei and Shichun Di
With the rise of electric vehicles, autonomous driving, and valet parking technologies, considerable research has been dedicated to automatic charging solutions. While the current focus lies on charging robot design and the visual positioning of charging...
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Soukaina Laaouina and Mimoun Benali
Moroccan manufacturing companies investing in the metallurgical, mechanical, and electromechanical industries sector are among the contributors to the growth of the national economy. The projects they are awarded do not have the same specific features as...
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Ghassan Muslim Hassan, Abdu Gumaei, Abed Alanazi, Samah M. Alzanin
Pág. pp. 120 - 134
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Hung-Ta Wen, Hom-Yu Wu, Kuo-Chien Liao and Wei-Chuan Chen
In recent years, artificial intelligence (AI) technology has been applied in different research fields. In this study, the XGBoost regression model is proposed to estimate JT9D engine thrust. The model performance mean absolute error (MAE) is 0.004845, t...
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Neyu Chen, Yaojun Ge and Claudio Borri
Flutter derivatives (FDs) of the bridge deck are basic aerodynamic parameters by which flutter analysis determines critical flutter velocity (CFV), and they are traditionally identified by sectional model wind tunnel tests or computational fluid dynamics...
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Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
This paper proposes a new hybrid model to forecast electricity market prices up to four days ahead. The components of the proposed model are combined in two dimensions. First, on the ?vertical? dimension, long short-term memory (LSTM) neural networks and...
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Luka Jovanovic, Gordana Jovanovic, Mirjana Perisic, Filip Alimpic, Svetlana Stanisic, Nebojsa Bacanin, Miodrag Zivkovic and Andreja Stojic
In this paper, we explore the computational capabilities of advanced modeling tools to reveal the factors that shape the observed benzene levels and behavior under different environmental conditions. The research was based on two-year hourly data concent...
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Jesús Polo, Nuria Martín-Chivelet, Miguel Alonso-Abella, Carlos Sanz-Saiz, José Cuenca and Marina de la Cruz
Solar power forecasting is of high interest in managing any power system based on solar energy. In the case of photovoltaic (PV) systems, and building integrated PV (BIPV) in particular, it may help to better operate the power grid and to manage the powe...
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Sangwan Lee, Jicheol Yang, Kuk Cho and Dooyong Cho
This study explored how transportation accessibility and traffic volumes for automobiles, buses, and trucks are related. This study employed machine learning techniques, specifically the extreme gradient boosting decision tree model (XGB) and Shapley Val...
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Nitin Kumar Singh, Takuya Fukushima and Masaaki Nagahara
This paper aims to develop a machine-learning model based on a gradient-boosting algorithm to predict the energy-saving awareness of households using a questionnaire survey and 11-month energy data collected from more than 200 smart houses in Kitakyushu,...
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Ashkan Safari, Hamed Kheirandish Gharehbagh and Morteza Nazari Heris
The transition to sustainable electricity generation depends heavily on renewable energy sources, particularly wind power. Making precise forecasts, which calls for clever predictive controllers, is a crucial aspect of maximizing the efficiency of wind t...
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Zhe Liu, Qun Lei, Dingwei Weng, Lifeng Yang, Xin Wang, Zhen Wang, Meng Fan and Jiulong Wang
In the last decade, low-quality unconventional oil and gas resources have become the primary source for domestic oil and gas storage and production, and hydraulic fracturing has become a crucial method for modifying unconventional reservoirs. This paper ...
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Di Wu, Jie Jiang, Fangyi Wang, Yunru Luo, Xiangdong Lei, Chengguang Lai, Xushu Wu and Menghua Xu
With the rapid development of urbanization and a population surge, the drawback of water pollution, especially eutrophication, poses a severe threat to ecosystem as well as human well-being. Timely monitoring the variations of water quality is a preceden...
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Nuha Alruwais and Mohammed Zakariah
The process of learning about a student?s knowledge and comprehension of a particular subject is referred to as student knowledge assessment. It helps to identify areas where students need additional support or challenge and can be used to evaluate the e...
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Nevena Simic, Nenad Ivani?evic, Ðorde Nedeljkovic, Aleksandar Senic, Zoran Stojadinovic and Marija Ivanovic
Cost estimates in the early stages of project development are essential for making the right decisions, but they are a huge challenge and risk for owners and potential contractors due to limited information about the characteristics of a future highway p...
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Ben Liu, Yunfei Xu, Sizhen Guo, Mingming Yu, Ziyue Lin and Hong Yang
Although many studies have explored the relationship between the built environment and metro ridership, the literature offers limited evidence on the nonlinear effect of origin and destination built environments on station-to-station ridership. Using dat...
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M. S. Shyam Sunder, Vinay Anand Tikkiwal, Arun Kumar and Bhishma Tyagi
Aerosols play a crucial role in the climate system due to direct and indirect effects, such as scattering and absorbing radiant energy. They also have adverse effects on visibility and human health. Humans are exposed to fine PM2.5, which has adverse hea...
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