The metaverse: Survey, trends, novel pipeline ecosystem & future directions

H Sami, A Hammoud, M Arafeh… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The Metaverse offers a second world beyond reality, where boundaries are non-existent,
and possibilities are endless through engagement and immersive experiences using the …

[HTML][HTML] Tidal energy-path towards sustainable energy: A technical review

V Khare, MA Bhuiyan - Cleaner Energy Systems, 2022 - Elsevier
The continuous demand for electricity, greenhouse gas emission, and diminution of fossil
fuels have led to increased electricity production through renewable energy sources. The …

Intertwined impacts of urbanization and land cover change on urban climate and agriculture in Aurangabad city (MS), India using google earth engine platform

CB Pande, KN Moharir, AM Varade, HG Abdo… - Journal of Cleaner …, 2023 - Elsevier
Devastation possibility of disenfranchising poor people of emerging countries like India is
due to urban climate change. Hence, an urgent and efficient urban planning strategy shall …

A hybrid electric vehicle load classification and forecasting approach based on GBDT algorithm and temporal convolutional network

T Zhang, Y Huang, H Liao, Y Liang - Applied Energy, 2023 - Elsevier
Due to the participation of large-scale electric vehicles (EVs) in Vehicle-to-Grid (V2G)
services, V2G dispatch centers need to predict the charging and discharging (C&D) loads of …

Examining rheological behavior of CeO2-GO-SA/10W40 ternary hybrid nanofluid based on experiments and COMBI/ANN/RSM modeling

M Sepehrnia, H Maleki, M Karimi, E Nabati - Scientific Reports, 2022 - nature.com
In this study, the rheological behavior and dynamic viscosity of 10W40 engine oil in the
presence of ternary-hybrid nanomaterials of cerium oxide (CeO2), graphene oxide (GO) …

A novel method for petroleum and natural gas resource potential evaluation and prediction by support vector machines (SVM)

Q Wang, D Chen, M Li, S Li, F Wang, Z Yang, W Zhang… - Applied Energy, 2023 - Elsevier
Petroleum and natural gas resources (PNGR) are some of the major forms of fossil energy
that are important for the development of industry and energy security. Along with the …

Short-term probabilistic prediction of significant wave height using bayesian model averaging: Case study of chabahar port, Iran

RM Adnan, T Sadeghifar, M Alizamir, MT Azad… - Ocean …, 2023 - Elsevier
Accurate predictions of significant wave heights are important for a number of maritime
applications, such as design of coastal and offshore structures. In the present study, an …

Accurate combination forecasting of wave energy based on multiobjective optimization and fuzzy information granulation

Y Dong, J Wang, R Wang, H Jiang - Journal of Cleaner Production, 2023 - Elsevier
Wave energy forecasting modeling is critical for promoting renewable energy storage
technology as well as for energy sustainability and global carbon neutrality goals. However …

A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm

Z Wang, R Gao, P Wang, H Chen - Technological Forecasting and Social …, 2023 - Elsevier
Accurate forecasting of the air quality index (AQI) plays a crucial role in taking precautions
against upcoming air pollution risks. However, air quality may fluctuate greatly in a certain …

Monthly ship price forecasting based on multivariate variational mode decomposition

Z Wang, L Chen, H Chen, N ur Rehman - Engineering Applications of …, 2023 - Elsevier
Accurate and reliable ship price forecasts can assist ship** firms, investors, and other
participants to withstand risks and make profits in a highly volatile ship** market …