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Intelligent approaches for sustainable management and valorisation of food waste
Food waste (FW) is a severe environmental and social concern that today's civilization is
facing. Therefore, it is necessary to have an efficient and sustainable solution for managing …
facing. Therefore, it is necessary to have an efficient and sustainable solution for managing …
A review of modern machine learning techniques in the prediction of remaining useful life of lithium-ion batteries
The intense increase in air pollution caused by vehicular emissions is one of the main
causes of changing weather patterns and deteriorating health conditions. Furthermore …
causes of changing weather patterns and deteriorating health conditions. Furthermore …
Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
The stability and thermophysical properties of Al2O3-graphene oxide hybrid nanofluids for solar energy applications: application of robust autoregressive modern …
This paper investigates the dispersion stability and thermophysical characteristics of water-
based alumina (Al 2 O 3), graphene oxide (GO) and their hybrid nanofluids (HNF) at different …
based alumina (Al 2 O 3), graphene oxide (GO) and their hybrid nanofluids (HNF) at different …
Viscosity and rheological behavior of Al2O3-Fe2O3/water-EG based hybrid nanofluid: a new correlation based on mixture ratio
The present study is a pure experimental investigation of the viscosity and rheological
properties of the Al 2 O 3-Fe 2 O 3 hybrid nanofluid and the development of a new …
properties of the Al 2 O 3-Fe 2 O 3 hybrid nanofluid and the development of a new …
[HTML][HTML] Improving the combustion and emission performance of a diesel engine powered with mahua biodiesel and TiO2 nanoparticles additive
The dwindling air quality and diminishing fossil fuel reserves have led to an increase in the
need for alternative sources of fuel. Biodiesel derived from animal/plant sources seems to be …
need for alternative sources of fuel. Biodiesel derived from animal/plant sources seems to be …
Renewable energy approach towards powering the CI engine with ternary blends of algal biodiesel-diesel-diethyl ether: Bayesian optimized Gaussian process …
The present study investigates the performance and emissions of a small diesel engine
powered with ternary blends of algal biodiesel, diesel, and diethyl ether. The findings …
powered with ternary blends of algal biodiesel, diesel, and diethyl ether. The findings …
Exploring the specific heat capacity of water-based hybrid nanofluids for solar energy applications: A comparative evaluation of modern ensemble machine learning …
The current study aims to give insight into the usefulness of three underutilized yet
exceptionally efficient machine learning approaches in estimating the specific heat capacity …
exceptionally efficient machine learning approaches in estimating the specific heat capacity …
A novel optimization approach for biohydrogen production using algal biomass
The objective of this research was to employ a low-cost device to produce biohydrogen with
several potential applications for clean energy. A multi-input and single-output (MISO) …
several potential applications for clean energy. A multi-input and single-output (MISO) …
Precise prediction of biochar yield and proximate analysis by modern machine learning and SHapley additive exPlanations
Biochar is found to possess a large number of applications in energy and environmental
areas. However, biochar could be produced from a variety of sources, showing that biochar …
areas. However, biochar could be produced from a variety of sources, showing that biochar …