A5073600185- IoT and Edge/Fog Computing
- Wireless Body Area Networks
- Energy Efficient Wireless Sensor Networks
- Blockchain Technology Applications and Security
- Advanced MIMO Systems Optimization
- IoT Networks and Protocols
- Energy Harvesting in Wireless Networks
- Vehicular Ad Hoc Networks (VANETs)
- Network Security and Intrusion Detection
- ECG Monitoring and Analysis
- Molecular Communication and Nanonetworks
- Service-Oriented Architecture and Web Services
- Image and Video Quality Assessment
- Smart Grid Security and Resilience
- Artificial Intelligence in Healthcare
- Context-Aware Activity Recognition Systems
- EEG and Brain-Computer Interfaces
- Internet of Things and AI
- Cloud Computing and Resource Management
- Digital Transformation in Industry
- Green IT and Sustainability
- Software-Defined Networks and 5G
- User Authentication and Security Systems
- Internet Traffic Analysis and Secure E-voting
- COVID-19 diagnosis using AI
Kristianstad University
2021-2025
Sukkur IBA University
2015-2024
Chinese Academy of Sciences
2013-2023
Shenzhen Institutes of Advanced Technology
2013-2023
University of Technology Malaysia
2022
Quaid-e-Awam University of Engineering, Science and Technology
2022
National University of Modern Languages
2022
Karlstad University
2022
National University of Computer and Emerging Sciences
2022
University of Naples Federico II
2022
Due to various challenging issues such as, computational complexity and more delay in cloud computing, edge computing has overtaken the conventional process by efficiently fairly allocating resources i.e., power battery lifetime Internet of things (IoT)-based industrial applications. In meantime, intelligent accurate resource management artificial intelligence (AI) become center attention especially With coordination AI at will remarkably enhance range speed IoT-based devices industries. But...
High mobility in ITS, especially V2V communication networks, allows increasing coverage and quick assistance to users neighboring but also degrades the performance of entire system due fluctuation wireless channel. How obtain better QoS during multimedia transmission over future generation networks (i.e., edge computing platforms) is very challenging high vehicles heterogeneity IoT-based networks. In this context, article contributes three distinct ways: develop a QoS-aware, green,...
An important constraint in wireless body area network (WBAN) is to maximise the energy-efficiency of wearable devices due their limited size and light weight. Two experimental scenarios; ‘right wrist right hip’ ‘chest with posture walking are considered. It analyzed through extensive real-time data sets that large temporal variations channel, a constant transmission power typical conventional control (TPC) methods not suitable choices for WBAN. To overcome these problems novel...
The growing network density and unprecedented increase in traffic, caused by the massively expanding number of connected devices online services, require intelligent operations. Machine Learning (ML) has been applied this regard different types networks networking technologies to meet requirements future communicating services. In article, we provide a detailed account current research on application ML communication shed light challenges. Research is described in: i) three layers, i.e.,...
3D ultra high resolution videos can be downloaded within seconds by deploying state-of-the art 5G technology. It handles big data with lesser delay and provides more bandwidth. The Internet of things (IoT) is the physical networks which different technologies together Wi-Fi, Bluetooth Cellular on a one platform. IoT for medical healthcare IoMT requires data, speed long battery life reliable connectivity. fulfills these requirements its superfast capabilities supports human health such as,...
Energy-efficient communication has become the center of attention from various interdisciplinary fields, such as industrial automation, healthcare, and transportation, among others. Besides, proliferation in artificial intelligence (AI)-based sixth-generation (6G) technology for achieving smart automation system caught both academia industry. Most intelligent systems are formed by IoT-based user terminal (UT) devices multimedia (i.e., video, audio, image, text) content delivery with high...
Deep learning (DL) driven cardiac image processing methods manage and monitor the massive medical data collected by internet of things (IoT) based on wearable devices. A Joint DL IoT platform are known as Deep-IoMT that extracts accurate from noisy conventional devices tools. Besides, smart dynamic technological trends have caught attention every corner such as, healthcare, which is possible through portable lightweight sensor-enabled Tiny size resource-constrained nature restrict them to...
Rapid progress and emerging trends in miniaturized medical devices have enabled the un-obtrusive monitoring of physiological signals daily activities everyone's life a prominent pervasive manner. Due to power-constrained nature conventional wearable sensor during ubiquitous sensing (US), energy-efficiency has become one highly demanding debatable issues healthcare. This paper develops single chip-based wireless electrocardiogram (ECG) system by adopting analog front end (AFE) chip model...
Since the purchase of Siri by Apple, and its release with iPhone 4S in 2011, virtual assistants (VAs) have grown number popularity. The sophisticated natural language processing speech recognition employed VAs enables users to interact them conversationally, almost as they would another human. To service user voice requests, transmit large amounts data their vendors; these are processed stored Cloud. potential security privacy issues involved this process provided motivation examine current...
The dynamic nature of wireless links and the mobility devices connected to Internet Things (IoT) over fifth-generation (5G) networks (IoT-5G), on one hand, empowers pervasive healthcare applications. On other it allows eavesdroppers illegitimate actors access secret information. Due poor time efficiency high computational complexity conventional cryptographic methods heterogeneous technologies used, is easy compromise authentication lightweight wearable devices. Therefore, intelligent...
Rapid development and massive use of Information Technology (IT) have since produced a amount electronic data. In tandem, the demand for data outsourcing associated security is increasing exponentially. Small organizations are often finding it expensive to save process their huge data, keep secure from unauthorized access. Cloud computing suitable affordable platform provide services on user demand. The cloud preferable used by individuals, Small, Medium Enterprises (SMEs) that cannot afford...
Emerging revolution in the healthcare has caught attention of both industry and academia due to rapid proliferation wearable devices innovative techniques. In mean-time, body sensor networks (BSNs) have become potential candidate transforming entire landscape medical world. However, large battery lifetime less power drain are very vital for these resource-constrained while collecting bio signals. Hence, minimizing their charge energy depletions still challenging tasks. It is examined through...
Fifth generation (5G) technologies have become the center of attention in managing and monitoring high-speed transportation system effectively with intelligent self-adaptive sensing capabilities. Besides, boom portable devices has witnessed a huge breakthrough data driven vehicular platform. However, sensor-based Internet Things (IoT) are playing major role as edge nodes (ITS). Thus, due to high mobility/speed vehicles resource-constrained nature more packets will be lost power drain shorter...
Abstract The confrontation of COVID-19 pandemic has become one the promising challenges world healthcare. Accurate and fast diagnosis cases is essential for correct medical treatment to control this pandemic. Compared with reverse-transcription polymerase chain reaction (RT-PCR) method, chest radiography imaging techniques are shown be more effective detect coronavirus. For limitation available images, transfer learning better suited classify patterns in images. This paper presents a...
The recent developments in electronic and communication technologies have brought notable revolution the e-healthcare industry for efficient transmission of patient's data. One emergent applications telehealth monitoring is Internet medical things (IoMTs). They are used to transfer monitor information patient-centred systems. Patient's data very critical, so its secure paramount requirement smart healthcare applications. current era has witnessed large-scale usage cryptographic biometric...
Artificial intelligence (AI)-driven fog computing (FC) and its emerging role in vehicular networks is playing a remarkable revolutionizing daily human lives. Fog radio access are accommodating billions of Internet Things devices for real-time interactive applications at high reliability. One the critical challenges today's lack standard wireless channel models with better quality service (QoS) passengers while enjoying pleasurable travel (i.e., highly visualized videos, images, news, phone...