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
P Sharma, BJ Bora - Batteries, 2022 - mdpi.com
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 …
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 …
Experimental analysis of novel ionic liquid-MXene hybrid nanofluid's energy storage properties: Model-prediction using modern ensemble machine learning methods
Abstracts The current work employs two modern ensemble machine learning algorithms,
Matern 5/2 Gaussian process regression (GPR) and quadratic support vector regression …
Matern 5/2 Gaussian process regression (GPR) and quadratic support vector regression …
Exploration of the dual fuel combustion mode on a direct injection diesel engine powered with hydrogen as gaseous fuel in port injection and diesel-diethyl ether …
The present study explores the possibilities of the use of diesel-diethyl ether (DDEE) blends
as pilot fuel, and hydrogen (H 2) as inducted gaseous fuel in a diesel engine operated on …
as pilot fuel, and hydrogen (H 2) as inducted gaseous fuel in a diesel engine operated on …
A novel optimization approach for biohydrogen production using algal biomass
P Sharma, M Sivaramakrishnaiah, B Deepanraj… - International Journal of …, 2024 - Elsevier
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) …