A5054023569- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
- Age of Information Optimization
- COVID-19 diagnosis using AI
- Artificial Intelligence in Healthcare
- Quantum Computing Algorithms and Architecture
- Context-Aware Activity Recognition Systems
- Distributed and Parallel Computing Systems
- Privacy-Preserving Technologies in Data
- Brain Tumor Detection and Classification
- Quantum Mechanics and Applications
- Retinal Imaging and Analysis
- Caching and Content Delivery
- Energy Load and Power Forecasting
- Scientific Computing and Data Management
- Software System Performance and Reliability
- Digital Transformation in Industry
- Time Series Analysis and Forecasting
- Big Data Technologies and Applications
- Data Stream Mining Techniques
- Smart Cities and Technologies
- Advanced Authentication Protocols Security
- Smart Grid Energy Management
- Robotics and Automated Systems
Queen Mary University of London
2020-2024
Abdullah Gül University
2022-2024
Bursa Uludağ Üni̇versi̇tesi̇
2021
As data of COVID-19 patients is increasing, the new framework required to secure collected from various Internet Things (IoT) devices and predict trend disease reduce its spreading. This article proposes security- privacy-based lightweight called iFaaSBus, which uses concept IoT, machine learning (ML), function as a service (FaaS) or serverless computing diagnose manages resources automatically enable dynamic scalability. iFaaSBus offers OAuth-2.0 Authorization protocol-based privacy JSON...
Heart disease is one of the leading causes death worldwide, and with early detection, mortality rates can be reduced. Well-known studies have shown that latest artificial intelligence (AI) used to determine risk heart disease. However, existing did not consider dynamic scalability get best performance from these AI models in case an increasing number users. To solve this problem, we proposed AI-powered smart healthcare framework called HealthFaaS, using Internet Things (IoT) a Serverless...
Quantum computing (QC) is a new paradigm that will revolutionize various areas of computing, especially cloud computing. QC, still in its infancy, costly technology capable operating highly isolated environments due to rapid response environmental factors. For this reason, it challenging for researchers reach. Integrating QC into an remote server, like cloud, and making available users can overcome these problems. Furthermore, experts predict with ability swiftly resolve complex...
To meet next-generation Internet of Things (IoT) application demands, edge computing moves processing power and storage closer to the network minimize latency bandwidth utilization. Edge is becoming increasingly popular as a result these benefits, but it comes with challenges such managing resources efficiently. Researchers are utilising Artificial Intelligence (AI) models solve challenge resource management in systems. However, existing simulation tools only concerned typical policies, not...
Quantum computing is a new paradigm that will revolutionize various areas of computing, especially cloud computing. still in its infancy, costly technology can operate highly isolated environments because rapid response to environmental factors. This makes quantum challenging for researchers access. These problems be solved by integrating into an remote server, such as cloud, and making it available users. Furthermore, experts predict with ability swiftly resolve complex computationally...
The convergence of the Internet Things (IoT) with e-health records is creating a new era advancements in diagnosis and treatment disease, which reshaping modern landscape healthcare. In this paper, we propose neural networks-based smart application for prediction Tuberculosis (TB) using serverless computing. performance various Convolution Neural Network (CNN) architectures transfer learning evaluated to prove that technique holds promise enhancing capabilities IoT systems future predicting...
The integration of serverless edge computing and the Industrial Internet Things (IIoT), like Industry 4.0 applications, is seen as a promising development that can make industrial processes more efficient faster. These two technologies be integrated to optimize production by enabling faster adaptation in critical industries with variable environmental conditions. However, challenges have negative impact on latency, such cold start due paradigm, are one challenging problems this process. Cold...
To address the privacy and security related challenges in Internet of Things (IoT) environment, we proposed a biometric method called BioSec to provide authentication IoT integrated with edge consumer electronics fingerprint authentication. Further, ensured data both transmission channel database standard encryption method. In this way, ensures secure private communication among devices Industry 4.0. Finally, have compared three methods used protect templates terms processing times...
Serverless edge computing decreases unnecessary resource usage on end devices with limited processing power and storage capacity. Despite its benefits, serverless computing's zero scalability is the major source of cold start delay, which yet unsolved. This latency unacceptable for time-sensitive Internet Things (IoT) applications like autonomous cars. Most existing approaches need containers to idle use extra resources. Edge have fewer resources than cloud-based systems, requiring new...
ABSTRACT Coronary heart disease is a leading cause of mortality worldwide. Although no cure exists for this condition, appropriate treatment and timely intervention can effectively manage its symptoms reduce the risk complications such as attacks. Prior studies have mostly relied on limited dataset from UC Irvine Machine Learning Repository, predominantly focusing (ML) models without incorporating Explainable Artificial Intelligence (XAI) or Generative (GAI) techniques enhancement. While...
The application of the Internet Things (IoT) and Artificial Intelligence (AI) in healthcare is an emerging domain. In Healthcare applications, relying on both IoT AI requires paying attention to latency, responsiveness management data loads. Most applications are based Cloud computing use platforms such as Google Microsoft Azure. With increased adoption various domains, generation rate volume by devices has tremendously increased, making insufficient for latency sensitive applications. Fog...
COVID-19 was one of the deadliest and most infectious illnesses this century. Research has been done to decrease pandemic deaths slow its spread. detection investigations have utilized Chest X-ray (CXR) images with deep learning techniques due sensitivity in identifying pneumonic alterations. However, CXR are not publicly available users' privacy concerns, resulting a challenge train highly accurate model from scratch. Therefore, we proposed CoviDetector, new semi-supervised approach based...
The Internet and computer commercialization have transformed the computing systems area over past sixty years, affecting society.Computer evolved to meet diverse social needs thanks technological advances.The of Things (IoT), cloud computing, fog edge other emerging paradigms provide new economic creative potential.Therefore, this article explores evaluates elements impacting advancement platforms, including both long-standing frameworks more recent innovations like quantum technology, AI.In...
Artificial intelligence (AI)-based studies have been carried out recently for the early detection of COVID-19. The goal is to prevent spread disease and number fatal cases. In AI-based COVID-19 diagnostic studies, integrity data critical obtain reliable results. this paper, we propose a Blockchain-based framework called AIBLOCK, offer required applications such as Industry 4.0, healthcare, online banking. addition, proposed integrated with Google Cloud Platform (GCP)-Cloud Functions,...
Abstract Serverless edge computing has emerged as a new paradigm that integrates the serverless and computing. By bringing processing power closer to of network, it provides advantages such low latency by quickly data for time‐sensitive Internet Things (IoT) applications. Additionally, also brings inherent problems cold start, security privacy are still waiting be solved. In this paper, we propose Blockchain‐based AI‐driven scalable framework called PRICELESS, offer in environments while...
ABSTRACT Deep neural network (DNN) and machine learning (ML) models/ inferences produce highly accurate results demanding enormous computational resources. The limited capacity of end‐user smart gadgets drives companies to exploit resources in an edge‐to‐cloud continuum host applications at user‐facing locations with users requiring fast responses. Kubernetes hosted poor resource request estimation service level agreement (SLA) violation terms latency below par performance higher end‐to‐end...
Abstract Cloud federations offer numerous advantages such as improved resilience, performance, and the prevention of vendor lock‐in. In order to function efficiently, however, they must be supported by automated solutions deploy cloud resources securely efficiently. particular, a system which allows virtual machine (VM) migration from one another while recording this for charging security purposes is particularly useful. This paper presents lightweight framework called BlockchainBus offers...