Browsing Others by Issue Date
Now showing items 101-113 of 113
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Direct numerical simulation of the drag, lift, and torque coefficients of high aspect ratio biomass cylindrical particles
(American Institute of Physics Inc., 2024-01)Biomass straw fuel has the advantage of low-carbon sustainability, and therefore, it has been widely used in recent years in coupled blending combustion with coal-fired utility boilers for power generation. At present, the ... -
Characterisation of the transverse shear behaviour of binder-stabilised preforms for wind turbine blade manufacturing
(Elsevier Ltd, 2024-01-15)Binder-stabilised preforms are being used increasingly in the production of large composite structures, such as wind turbine blades, to increase the throughput. The transverse shear behaviour of the preform is one of the ... -
Usage of radial basis function neural network for dual-energy radiative detection system for measuring the oil pipelines scale layer
(Elsevier Ltd, 2024-02)Scaling oil pipelines over time leads to issues including diminished flow rates, wasted energy, and decreased efficiency. In order to take preventative measures in a timely manner and avoid the aforementioned issues, it ... -
Setting time, sulfuric acid resistance, and strength development of alkali-activated mortar with slag & fly ash binders
(Elsevier B.V., 2024-03)This study evaluated the effect of initial molar ratios SiO2/Al2O3 and (CaO + SiO2)/Al2O3, on the setting time of mortar with alkali-activated Ground Granulated Blast Furnace Slag (GBS) and fly ash (FA) binders. The study ... -
Multi-stage planning of integrated electricity-gas-heating system in the context of carbon emission reduction
(Elsevier Ltd, 2024-03)In order to facilitate the carbon emission reduction to mitigate climate change, this paper proposes a coordinated multi-stage planning strategy for the transmission-level integrated electricity-gas-heating system. The ... -
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 ... -
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, ... -
Improving wind speed forecasting at Adama wind farm II in Ethiopia through deep learning algorithms
(Elsevier Ltd, 2024-06)Wind power plays a critical role in supporting Ethiopia's electricity generation, particularly during dry seasons when hydropower availability diminishes. This contribution becomes even more crucial for sustaining industrial ... -
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 ... -
Short-Term Scheduling of Cryogenic Energy Storage Systems in Microgrids Considering CHP-Thermal-Heat-Only Units and Plug-in Electric Vehicles
(University of Mohaghegh Ardabili, Faculty of Electrical Engineering, 2024-08)With the exponential penetration of renewable energy sources (RES), the need for compatible scheduling of these has increased from economic and environmental points of view. Due to the high-efficiency and fast-response ... -
Towards explainability for AI-based edge wireless signal automatic modulation classification
(Springer Science and Business Media Deutschland GmbH, 2024-12)With the development of artificial intelligence technology and edge computing technology, deep learning-based automatic modulation classification (AI-based AMC) deployed at edge devices using centralised or distributed ... -
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. ...