A multi-factor combination prediction model of carbon emissions based on improved CEEMDAN

G Li, H Wu, H Yang - Environmental Science and Pollution Research, 2024 - Springer
As the global greenhouse effect intensifies, carbon emissions are gradually becoming a hot
topic of discussion. Accurate carbon emissions prediction is an important foundation to …

Applications of Sentinel-5P TROPOMI Satellite Sensor: A Review

AR Reshi, S Pichuka, A Tripathi - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
The Sentinel-5 Precursor (Sentinel-5P) is an Earth Observation satellite developed by the
European Space Agency. The aim is primarily to fill the gap between end of the Envisat …

[HTML][HTML] Predicting friction capacity of driven piles using new combinations of neural networks and metaheuristic optimization algorithms

L Jie, P Sahraeian, KI Zykova, M Mirahmadi… - Case Studies in …, 2023 - Elsevier
Friction capacity is a principal characteristic in designing driven piles. Considering the
complexities in analyzing the behavior of piles, many studies have recommended the use of …

[HTML][HTML] Predicting water quality through daily concentration of dissolved oxygen using improved artificial intelligence

J Yang - Scientific Reports, 2023 - nature.com
As an important hydrological parameter, dissolved oxygen (DO) concentration is a well-
accepted indicator of water quality. This study deals with introducing and evaluating four …

[HTML][HTML] An innovative machine learning based on feed-forward artificial neural network and equilibrium optimization for predicting solar irradiance

T Xu, MH Sabzalian, A Hammoud, H Tahami… - Scientific Reports, 2024 - nature.com
As is known, having a reliable analysis of energy sources is an important task toward
sustainable development. Solar energy is one of the most advantageous types of renewable …

[HTML][HTML] Integrative soft computing approaches for optimizing thermal energy performance in residential buildings

Y Peng, Y Chen - Plos one, 2023 - journals.plos.org
As is known, early prediction of thermal load in buildings can give valuable insight to
engineers and energy experts in order to optimize the building design. Although different …

[HTML][HTML] Early energy performance analysis of smart buildings by consolidated artificial neural network paradigms

G Guo, P Liu, Y Zheng - Heliyon, 2024 - cell.com
The assessment of energy performance in smart buildings has emerged as a prominent
area of research driven by the increasing energy consumption trends worldwide. Analyzing …

[HTML][HTML] A novel ensemble approach for estimating the competency of bank telemarketing

W Guo, Y Yao, L Liu, T Shen - Scientific Reports, 2023 - nature.com
Having a reliable understanding of bank telemarketing performance is of great importance in
the modern world of economy. Recently, machine learning models have obtained high …

Air quality monitoring in Ukraine during 2022 military conflict using Sentinel-5P imagery

M Mehrabi, M Scaioni, M Previtali - Air Quality, Atmosphere & Health, 2024 - Springer
Air quality assessment is an important task, due to the adverse effects of air pollution on
human health. This importance is more highlighted when it comes to exceptional events …

Improving the prediction of energy performance of building using electromagnetic field optimization algorithm

M Ma - International Journal of Low-Carbon Technologies, 2024 - academic.oup.com
Considering the significance of proper energy performance analysis of buildings, many
recent studies have presented potential applications of machine learning models for …