Exergo-economic analyzes of a combined CPVT solar dish/Kalina Cycle/HDH desalination system; intelligent forecasting using artificial neural network (ANN) and …

N Li, Y Jiang, M Aksoy, JM Zain, TUK Nutakki… - Renewable Energy, 2024 - Elsevier
Power and freshwater are two energy-intensive products, which consume a huge amount of
fossil fuels. It is important to supply the aforementioned products using renewable energy …

Investigation on aeration efficiency and energy efficiency optimization in recirculating aquaculture coupling CFD with Euler-Euler and species transport model

G Yu, S Zhang, X Chen, D Li, Y Wang - Journal of Environmental Chemical …, 2024 - Elsevier
Aeration plays a crucial role in maintaining the overall health and sustainability of the
recirculating aquaculture system. Conventional aeration operates continuous and consumes …

Evaluating the influence of Nano-GO concrete pavement mechanical properties on road performance and traffic safety using ANN-GA and PSO techniques

X Zhang, L Liao, KJ Mohammed, R Marzouki… - Environmental …, 2024 - Elsevier
The burgeoning demand for durable and eco-friendly road infrastructure necessitates the
exploration of innovative materials and methodologies. This study investigates the potential …

Artificial intelligence-based approach for improving the aeration efficiency of a perforated plate aeration system

SM Roy, CM Pareek, T Kim, BC Mal - Multiscale and Multidisciplinary …, 2024 - Springer
Aeration of a water body is artificially performed to create a close interface between the air
and the water, allowing for the enhancement of dissolved oxygen (DO) content. High levels …

More accurate prediction of oxygen transfer in water through Venturi flumes by data analysis, machine learning, and uncertainty investigation

NK Tiwari, D Panwar - Journal of Environmental Engineering, 2025 - ascelibrary.org
This study examines a Venturi flume's volumetric oxygen transfer coefficient (VFKL a) by
analyzing performance metrics and graphical assessment from conducting experiments …

[HTML][HTML] An optimization-based risk management framework with risk interdependence for effective disaster risk reduction

M Safaeian, R Moses, EE Ozguven… - Progress in Disaster …, 2024 - Elsevier
Effective risk management is crucial in the field of disaster management to mitigate the
impact of disasters. It involves proactive planning, resource allocation, and the …

Reliable Prediction of the Aeration Efficiency of Venturi Flumes Using Intelligent Approaches

D Panwar, NK Tiwari - Journal of Environmental Engineering, 2025 - ascelibrary.org
This research utilizes experimental data derived from various Venturi flume setups to assess
the Venturi flume aeration efficiency (VFAE 20). This evaluation encompasses dimensional …

Enhancing CO2 emissions prediction in Africa: A novel approach integrating enviroeconomic factors and nature-inspired neural network in the presence of unit root

S Mati, AJ Baita, GY Ismael, SG Abdullahi, A Samour… - Renewable Energy, 2024 - Elsevier
The prediction of CO 2 emissions is critical for designing sustainable environmental policies
and meeting the Sustainable Development Goals, particularly those related to climate …

Nonlinear ensemble techniques and reliability to estimate oxygen transfer efficiency of rectangular venturi flumes for free flow

D Panwar, NK Tiwari - ISH Journal of Hydraulic Engineering, 2024 - Taylor & Francis
In this study, we investigate assessing the oxygen transfer efficiency of a rectangular venturi
flume (VFOTF20), employing machine learning ensemble models. Our investigation …

Alternative states in microbial communities during artificial aeration: Proof of incubation experiment and development of recurrent neural network models

H Wang, W Zhang, X Hou, J Tong, F Yu, Y Yan, L Wang… - Water Research, 2023 - Elsevier
Artificial aeration, a widely used method of restoring the aquatic ecological environment by
enhancing the re-oxygenation capacity, typically relies upon empirical models to predict …