Exergo-economic analyzes of a combined CPVT solar dish/Kalina Cycle/HDH desalination system; intelligent forecasting using artificial neural network (ANN) and …
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 …
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
Aeration plays a crucial role in maintaining the overall health and sustainability of the
recirculating aquaculture system. Conventional aeration operates continuous and consumes …
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 …
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
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 …
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 …
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 …
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 …
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
The prediction of CO 2 emissions is critical for designing sustainable environmental policies
and meeting the Sustainable Development Goals, particularly those related to climate …
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 …
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 …
enhancing the re-oxygenation capacity, typically relies upon empirical models to predict …