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Improving Robot-Assisted Virtual Teaching Using Transformers, GANs, and Computer Vision
(IGI Global, 2024-01-17)
This study aims to enhance the efficacy of personalized learning paths by amalgamating transformer models, generative adversarial networks (GANs), and reinforcement learning techniques. To refine personalized learning ...
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 ...
Multiobjective and Coordinated Reconfiguration and Allocation of Photovoltaic Energy Resources in Distribution Networks Using Improved Clouded Leopard Optimization Algorithm
(Wiley-Hindawi, 2024)
In this paper, a multiobjective framework for simultaneous reconfiguration and allocation of photovoltaic (PV) energy resources in radial distribution networks is performed for minimizing the power losses, lowering network ...
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, ...
Battery State-of-Health Estimation: A Step towards Battery Digital Twins
(Multidisciplinary Digital Publishing Institute (MDPI), 2024-02)
For a lithium-ion (Li-ion) battery to operate safely and reliably, an accurate state of health (SOH) estimation is crucial. Data-driven models with manual feature extraction are commonly used for battery SOH estimation, ...
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 ...
Smart home energy management systems: Research challenges and survey
(Elsevier B.V., 2024-04)
Electricity is establishing ground as a means of energy, and its proportion will continue to rise in the next generations. Home energy usage is expected to increase by more than 40% in the next 20 years. Therefore, to ...
CP_DeepNet: a novel automated system for COVID-19 and pneumonia detection through lung X-rays
(Springer, 2024)
In recent years, the COVID-19 outbreak has affected humanity across the globe. The frequent symptoms of COVID-19 are identical to the normal flu, such as fever and cough. COVID-19 disseminates rapidly, and it has become a ...
Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
(Springer Science and Business Media Deutschland GmbH, 2024-12)
In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series data, adept at addressing the inherent challenges posed by the data's complex, non-linear, and periodic nature, as well as the ...