A study on different deep learning algorithms used in deep neural nets: MLP SOM and DBN
J Naskath, G Sivakamasundari, AAS Begum - Wireless personal …, 2023 - Springer
Deep learning is a wildly popular topic in machine learning and is structured as a series of
nonlinear layers that learns various levels of data representations. Deep learning employs …
nonlinear layers that learns various levels of data representations. Deep learning employs …
A systematic review and comparison of liquid-based cooling system for lithium-ion batteries
The battery thermal management system (BTMS) is arguably the main component providing
essential protection for the security and service performance of lithium-ion batteries (LIBs) …
essential protection for the security and service performance of lithium-ion batteries (LIBs) …
Application of an artificial neural network to optimise energy inputs: An energy-and cost-saving strategy for commercial poultry farms
E Elahi, Z Zhang, Z Khalid, H Xu - Energy, 2022 - Elsevier
The current study estimates target values of energy inputs along with an assessment of
energy-and cost-saving strategies for poultry farms. In 2019, cross-sectional data were …
energy-and cost-saving strategies for poultry farms. In 2019, cross-sectional data were …
Estimating smart energy inputs packages using hybrid optimisation technique to mitigate environmental emissions of commercial fish farms
E Elahi, Z Khalid - Applied Energy, 2022 - Elsevier
The current study uses a hybrid optimization technique (ANN and DEA) to estimate smart
energy input packages to reduce the environmental emissions of fish farms. In 2021 …
energy input packages to reduce the environmental emissions of fish farms. In 2021 …
A multi-model data fusion methodology for reservoir water quality based on machine learning algorithms and bayesian maximum entropy
A major concern in the management of reservoirs is water quality because of the negative
consequences it has on both environment and human life. Artificial Intelligence (AI) concept …
consequences it has on both environment and human life. Artificial Intelligence (AI) concept …
Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production
A Nabavi-Pelesaraei, S Rafiee, SS Mohtasebi… - Science of the total …, 2018 - Elsevier
Prediction of agricultural energy output and environmental impacts play important role in
energy management and conservation of environment as it can help us to evaluate …
energy management and conservation of environment as it can help us to evaluate …
Price forecasts of ten steel products using Gaussian process regressions
X Xu, Y Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Addressing price forecasting problems is an important exercise to policymakers and market
participants in the resource business sector. In this work, we build Gaussian process …
participants in the resource business sector. In this work, we build Gaussian process …
[HTML][HTML] Optimizing cellulase production from Aspergillus flavus using response surface methodology and machine learning models
The study aims to optimize cellulase (CMCase) production by Aspergillus flavus using wheat
straw, an abundantly available lignocellulosic waste, as a substrate. Three parameters, ie …
straw, an abundantly available lignocellulosic waste, as a substrate. Three parameters, ie …
A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique
SS Fiyadh, SM Alardhi, M Al Omar, MM Aljumaily… - Heliyon, 2023 - cell.com
Water is the most necessary and significant element for all life on earth. Unfortunately, the
quality of the water resources is constantly declining as a result of population development …
quality of the water resources is constantly declining as a result of population development …
Graph convolutional network–Long short term memory neural network-multi layer perceptron-Gaussian progress regression model: A new deep learning model for …
M Ehteram, AN Ahmed, ZS Khozani… - Atmospheric Pollution …, 2023 - Elsevier
Ozone is one of the most important air pollutants. The high ozone concertation (OZC) affects
the environment and public health. Since OZC depends on the number of different variables …
the environment and public health. Since OZC depends on the number of different variables …