"Faheem, Muhammad" - Selaus tekijän mukaanArtikkelit
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A blockchain-based resilient and secure framework for events monitoring and control in distributed renewable energy systems
(John Wiley & SonsThe Institution of Engineering and Technology, 22.06.2024)
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A Comprehensive Survey on the Cooperation of Fog Computing Paradigm-Based IoT Applications: Layered Architecture, Real-Time Security Issues, and Solutions
(IEEE, 12.07.2023)
articleThe Internet of Things (IoT) can enable seamless communication between millions of billions of objects. As IoT applications continue to grow, they face several challenges, including high latency, limited processing and ... -
A conditioned reflex action embedded associative context learning-based energy efficient paradigm in smart city milieu
(The Institution of Engineering and Technology, 11.07.2023)
articleAn intelligent video surveillance system is crucial to enhance public safety, crime prevention, traffic, and crowd management in a smart city milieu. Situational awareness is an essential aspect of these surveillance systems ... -
A deep fusion-based vision transformer for breast cancer classification
(The Institution of Engineering and TechnologyJohn Wiley & Sons, 23.10.2024)
articleBreast cancer is one of the most common causes of death in women in the modern world. Cancerous tissue detection in histopathological images relies on complex features related to tissue structure and staining properties. ... -
A gene selection algorithm for microarray cancer classification using an improved particle swarm optimization
(Springer, 23.08.2024)
articleGene selection is an essential step for the classification of microarray cancer data. Gene expression cancer data (deoxyribonucleic acid microarray] facilitates in computing the robust and concurrent expression of various ... -
A Hybrid Convolutional Neural Network Model for Automatic Diabetic Retinopathy Classification From Fundus Images
(IEEE, 01.06.2023)
articleObjective: Diabetic Retinopathy (DR) is a retinal disease that can cause damage to blood vessels in the eye, that is the major cause of impaired vision or blindness, if not treated early. Manual detection of diabetic ... -
A lightweight smart contracts framework for blockchain-based secure communication in smart grid applications
(John Wiley & SonsThe Institution of Engineering and Technology, 13.01.2024)
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A MapReduce Based Approach for Secure Batch Satellite Image Encryption
(IEEE, 24.05.2023)
articleThe overarching goal of this research was to examine the state of satellite imagery security in relation to its deteriorating form due to rising demand. The most common approaches to safeguarding satellite images during ... -
A Novel 1-Dimensional Cosine Chaotic Equation and Digital Image Encryption Technique
(IEEE, 22.08.2024)
articleIn the 21st century, the digital era, chaotic systems become the backbone in designing the secure ciphers for image cryptography because of their intrinsic features like dynamical behavior and sensitivity to initial ... -
A novel energy optimization framework to enhance the performance of sensor nodes in Industry 4.0
(John Wiley & Sons, 02.01.2024)Industry 4.0 is a term used to refer to the fourth industrial revolution, characterized by the introduction of new technologies, such as the Internet of Things, Big Data, and artificial intelligence (AI). As the number of ... -
A secure blockchain framework for healthcare records management systems
(The Institution of Engineering and TechnologyJohn Wiley & Sons Ltd, 09.10.2024)
articleElectronic health records are one of the essential components of health organizations. In recent years, there have been increased concerns about privacy and reputation regarding the storage and use of patient information. ... -
AML-Net : Attention-based multi-scale lightweight model for brain tumour segmentation in internet of medical things
(The Institution of Engineering and Technology, 17.01.2024)
articleBrain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder-decoder architectures have been developed for this purpose, with U-Net being the ... -
Batch Normalization Free Rigorous Feature Flow Neural Network for Grocery Product Recognition
(IEEE, 14.05.2024)
articleAutomatic product recognition is crucial in advancing economic and social fronts due to its superior reliability and time-saving nature compared to manual operations. The precise organization of products on store shelves ... -
Bayesian-Edge system for classification and segmentation of skin lesions in Internet of Medical Things
(John Wiley & Sons Ltd, 31.07.2024)
articleSkin diseases are severe diseases. Identification of these severe diseases depends upon the abstraction of atypical skin regions. The segmentation of these skin diseases is essential to rheumatologists in risk impost and ... -
Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions
(Elsevier, 29.06.2023)
articleBlockchain-based drug supply management (DSM) requires powerful security and privacy procedures for high-level authentication, interoperability, and medical record sharing. Researchers have shown a surprising interest in ... -
Cyberattack patterns in blockchain-based communication networks for distributed renewable energy systems : A study on big datasets
(Elsevier, 29.02.2024)
articleBlockchain-based reliable, resilient, and secure communication for Distributed Energy Resources (DERs) is essential in Smart Grid (SG). The Solana blockchain, due to its high stability, scalability, and throughput, along ... -
D2PAM : Epileptic seizures prediction using adversarial deep dual patch attention mechanism
(The Institution of Engineering and Technology, 29.07.2023)
articleEpilepsy is considered as a serious brain disorder in which patients frequently experience seizures. The seizures are defined as the unexpected electrical changes in brain neural activity, which leads to unconsciousness. ... -
Dual-3DM3-AD : Mixed Transformer based Semantic Segmentation and Triplet Pre-processing for Early Multi-Class Alzheimer’s Diagnosis
(IEEE, 23.01.2024)
articleAlzheimer’s Disease (AD) is a widespread, chronic, irreversible, and degenerative condition, and its early detection during the prodromal stage is of utmost importance. Typically, AD studies rely on single data modalities, ... -
Ensemble learning based defect detection of laser sintering
(The Institution of Engineering and TechnologyJohn Wiley & Sons, 30.10.2023)
articleIn rapid development, Selective Laser Sintering (SLS) creates prototypes by processing industrial materials, for example, polymers. Such materials are usually in powder form and fused by a laser beam. The manufacturing ... -
Evaluation of Machine Learning Models for Smart Grid Parameters: Performance Analysis of ARIMA and Bi-LSTM
(MDPI, 25.05.2023)
articleThe integration of renewable energy resources into smart grids has become increasingly important to address the challenges of managing and forecasting energy production in the fourth energy revolution. To this end, artificial ...
