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A novel data balancing approach and a deep fractal network with light gradient boosting approach for theft detection in smart grids
(Elsevier Ltd, 2023)
Electricity theft is the largest type of non-technical losses faced by power utilities around the globe. It not only raises revenue losses to the utilities but also leads to lethal fires and electric shocks at distribution ...
Brain Tumor Classification from MRI Using Image Enhancement and Convolutional Neural Network Techniques
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
The independent detection and classification of brain malignancies using magnetic resonance imaging (MRI) can present challenges and the potential for error due to the intricate nature and time-consuming process involved. ...
Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
The rapid advancements in technology have paved the way for innovative solutions in the healthcare domain, aiming to improve scalability and security while enhancing patient care. This abstract introduces a cutting-edge ...
Assessing Secure OpenID-Based EAAA Protocol to Prevent MITM and Phishing Attacks in Web Apps
(Tech Science Press, 2023)
To secure web applications from Man-In-The-Middle (MITM) and phishing attacks is a challenging task nowadays. For this purpose, authentication protocol plays a vital role in web communication which securely transfers data ...
Enhancement of Pre-Trained Deep Learning Models to Improve Brain Tumor Classification
(Slovene Society Informatika, 2023)
The early detection of brain tumors is crucial due to their highly dangerous nature and the potential for life-threatening consequences if left undiagnosed. Brain tumors significantly shorten life expectancy and cause ...
A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-11)
Fifth-generation (5G) mobile networks have already marked their presence globally, revolutionizing entertainment, business, healthcare, and other domains. While this leap forward brings numerous advantages in speed and ...
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 ...
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 ...
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, ...
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 ...