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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 ... -
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 ... -
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. ... -
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 ... -
A Meta-Heuristic Sustainable Intelligent Internet of Things Framework for Bearing Fault Diagnosis of Electric Motor under Variable Load Conditions
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-12)The study introduces an Intelligent Diagnosis Framework (IDF) optimized using the Grasshopper Optimization Algorithm (GOA), an advanced swarm intelligence method, to enhance the precision of bearing defect diagnosis in ... -
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, ... -
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 ... -
Hybrid Climate Forecasting: Variational Mode Decomposition and Convolutional Neural Network with Long-Term Short Memory
(HARD Publishing Company, 2024)Ozone (O3) pollution has surfaced as a significant threat to urban air quality in contemporary years. The precise and efficient forecast of ozone levels is fundamental in the mitigation and management of ozone pollution. ... -
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 ... -
4E analysis and optimization of a novel hybrid biomass-solar system: Focusing on peak load management and environmental emissions
(Institution of Chemical Engineers, 2024-01)Renewable energies are available as clean sources to replace fossil fuels. Providing continuous power without compromising the environment through hybridizing solar and biomass source is one of the promising solutions. ... -
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 ... -
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 ... -
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 ...