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Now showing items 11-20 of 20
Deep learning based simulators for the phosphorus removal process control in wastewater treatment via deep reinforcement learning algorithms
(Elsevier Ltd, 2024-07)
Phosphorus removal is vital in wastewater treatment to reduce reliance on limited resources. Deep reinforcement learning (DRL) can be used to optimize the processes in wastewater treatment plants by learning control policies ...
An adaptive power smoothing approach based on artificial potential field for PV plant with hybrid energy storage system
(Elsevier Ltd, 2024-03-01)
The increasing quantity of PV installation has brought great challenges to the grid owing to power fluctuations. Hybrid energy storage systems have been an effective solution to smooth out PV output power variations. In ...
That's how the preform crumples: Wrinkle creation during forming of thick binder-stabilised stacks of non-crimp fabrics
(Elsevier Ltd, 2024-03-15)
The simultaneous forming of multiple layers of fabric is being used in industry to increase the throughput of composite parts. A polymeric binder may be used to stabilise the fabric layers to make it easier to handle, ...
Wireless Charging for Electric Vehicles: A Survey and Comprehensive Guide
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-03)
This study compiles, reviews, and discusses the relevant history, present status, and growing trends in wireless electric vehicle charging. Various reported concepts, technologies, and available literature are discussed ...
Magnetohydrodynamic water-based hybrid nanofluid flow comprising diamond and copper nanoparticles on a stretching sheet with slips constraints
(Walter de Gruyter GmbH, 2024)
Hybrid nanofluid problems are used for augmentation of thermal transportation in various industrial applications. Therefore, the present problem is studied for the heat and mass transportation features of hybrid nanofluid ...
A semi-analytical solution of the magnetohydrodynamic blood-based ternary hybrid nanofluid flow over a convectively heated bidirectional stretching surface under velocity slip conditions
(American Institute of Physics, 2024)
This work inspects the thermal transportation of the magnetohydrodynamic Casson trihybrid nanofluid flow over a convectively heated bidirectional elongating sheet. The flow is considered as three dimensional passing over ...
Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN
(Springer Science and Business Media Deutschland GmbH, 2024-12)
The recent advancements in automated lung cancer diagnosis through the application of Convolutional Neural Networks (CNN) on Computed Tomography (CT) scans have marked a significant leap in medical imaging and diagnostics. ...
A homotopic analysis of the blood-based bioconvection Carreau-Yasuda hybrid nanofluid flow over a stretching sheet with convective conditions
(Walter de Gruyter GmbH, 2024)
The time-independent and incompressible blood-based hybrid nanofluid flow, including Au and Cu nanoparticles across an expanding sheet, has been studied. To illustrate the non-Newtonian performance of the blood-based hybrid ...
Global warming’s grip on agriculture: Strategies for sustainable production amidst climate change using regression based prediction
(Pensoft Publishers, 2024)
The intersection of climate change and food production is emerging as a critical area of research, focusing on both the potential benefits and the significant challenges posed by changing climate conditions. Elevated levels ...
Wheat crop genotype and age prediction using machine learning with multispectral radiometer sensor data
(John Wiley and Sons Inc, 2024)
Wheat (Triticum aestivum) yield predictions can be improved by using multispectral remote sensing to identify different genotypes and crop growth stages. We propose an innovative machine learning technique aimed at classifying ...