A5073113872- IoT and Edge/Fog Computing
- IoT Networks and Protocols
- Smart Cities and Technologies
- Cloud Computing and Resource Management
- Data Mining Algorithms and Applications
- Internet of Things and AI
- Time Series Analysis and Forecasting
- Discourse Analysis in Language Studies
- Anomaly Detection Techniques and Applications
- HVDC Systems and Fault Protection
- Language, Metaphor, and Cognition
- IoT-based Smart Home Systems
- Water Quality Monitoring Technologies
- Advanced Clustering Algorithms Research
- Technology Adoption and User Behaviour
- Imbalanced Data Classification Techniques
- Millimeter-Wave Propagation and Modeling
- Indoor and Outdoor Localization Technologies
- Literary Theory and Cultural Hermeneutics
- Language, Discourse, Communication Strategies
- Full-Duplex Wireless Communications
- Organizational and Employee Performance
- Molecular Communication and Nanonetworks
- Online and Blended Learning
- Advanced Text Analysis Techniques
King Khalid University
2019-2024
Zarqa University
2024
Sambalpur University
2014
Charles Dickens’s (1909) “Little Dorrit” and Al Tayeb Saleh’s (1997) “Nakhla Ala Jadwal” were the subject of this investigation. Using Halliday Matthiessen’s (2014) model thematic categorizations functions, research paper examined structure functions in relation to short stories. Hence, 234 English 304 Arabic clauses manually extracted from stories analyzed regarding proposed framework. The findings revealed that use topical themes was highest interpersonal lowest frequency while textual at...
E-Learning has proven to be the only resort as a replacement of traditional face-to-face learning methods in current global lockdown due COVID-19 pandemic. Academic institutions across globe have invested heavily into and majority courses offered classroom mode been converted mode. The success initiatives needs ensured make it sustainable learning. objective study is propose holistic service framework ensure effective delivery use Services that contributes academic performance. Based on an...
Estimation of fault classification and location in a multi-terminal high voltage direct current (MT–HVdc) transmission system is challenging problem considered to be fundamental maneuver dc grid protection. This research paper critically reviews traveling non-travelling wave methods faults HVdc systems. Detailed mathematical analysis MT–HVdc systems composed grounding resistance, cable overhead line segments, bipolar coupled network under healthy faulty conditions, are evaluated. The gravity...
Abstract For mobile clients, sufficient resources with the assurance of efficient performance and energy efficiency are core concerns. This article mainly considers this need proposes a resourceful architecture, called mRARSA that addresses critical in cloud environment. architecture consists resources, devices, set functional components. The evaluates implementing proposed context-aware multi-criteria decision offloading algorithm. algorithm both device context (network parameters)...
The emerging computing paradigms like mobile cloud, edge computing, fog AI, and 5G provide the scope to advance learning (m-learning) performances across educational disciplines. Edge brings power at of network closer actors. This study investigates potentials proposes a novel edge-based hierarchical architecture optimize m-learning performance efficiency. architecture's design follows ETSI MEC ISG framework technical requirements. An use case was executed evaluate efficiency in university...
Mobile learning (m-learning) adoption has increased and shall be demonstrated superior performance by implementing related computing paradigms, such as IoT, edge, mobile fog, AI, 5G. cloud architectures (MCAs) enable m-learning with several benefits face limitations while executing real-time applications. This study investigates the state-of-the-art architectures, determines a layered m-learning-MCA obtaining numerous of expands functional structure. It evaluates across four physical layer’s...
In the modern era, Internet of Things (IoT) based nano-electronic devices are essential to provide practical patient information through monitoring performance in healthcare system. Moreover, remote health is becoming necessary for lowering expenses and enhancing care due aging population rise chronic illnesses. Recently, there has been a lot interest IoT nanoelectronics as potential solution monitoring. An extensive range physiological data, including heart rates, blood oxygen levels, body...
This study addresses the real-time issue of managing an academic program's documents in a university environment. In practice, document classification from corpus is challenging when dataset size large, and complexity increases if to meet some specific management requirements. presents practical approach grouping based on content similarity measure. The analyzes state-of-the-art clustering algorithms performance, considers Hamiltonian graph properties distance function. function measures (1)...
This article aims to design a novel edge-centric hierarchical cloud architecture optimize mobile learning (m-learning) performance during learners executing computation-intensive applications. research adopts the potential of distributed computing paradigms, that is, edge, for improving effectiveness m-learning in higher education. Edge enables at network’s edge and effectively avoids latencies while processing learners’ computational requests. The envisioned was designed on ETSI MEC ISG...
Abstract The authors have requested that this preprint be removed from Research Square.