A5025351878- IoT and Edge/Fog Computing
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
- IoT Networks and Protocols
- Expert finding and Q&A systems
- Mobile Crowdsensing and Crowdsourcing
- ECG Monitoring and Analysis
- Recommender Systems and Techniques
- Wireless Body Area Networks
- Network Security and Intrusion Detection
- Opinion Dynamics and Social Influence
- Anomaly Detection Techniques and Applications
- Caching and Content Delivery
- Advanced Graph Neural Networks
- Transportation and Mobility Innovations
- Complex Network Analysis Techniques
- Digital Media Forensic Detection
- EEG and Brain-Computer Interfaces
Sadra Institute Of Higher Education
2021-2024
Qom Islamic Azad University
2023
Virtualization technology represented through Virtual Machines (VMs) is recognized as a key infrastructure in cloud computing. This developing rapidly and data centers face challenges such Machine Placement (VMP) for energy efficiency. VMP defined the efficient allocation of VMs to Host (HMs) achieve various objectives reducing consumption, load balancing avoid Service Level Agreement Violations (SLAV). In this paper, addressed using Deep Reinforcement Learning (DRL) based strategy determine...
<title>Abstract</title> Outlier detection in the Internet of Things (IoT) is crucial for ensuring reliability and security interconnected devices. This paper presents a novel approach unsupervised outlier using Autoencoder-based models with Contrastive Loss. The method leverages representation learning capability autoencoders discriminative power contrastive to effectively distinguish between normal anomalous data points. training procedure involves optimizing encoder decoder minimize total...
Abstract The fast growth of under developing mobile applications in recent years has emerged a diversity delay-sensitive such as multimedia streaming, virtual reality, augmented and online gaming to facilitate daily activities different aspects human life. Edge computing been raised an Internet-based distributed model enable devices offload tasks nearby edge servers rather than transfer them remote cloud servers. A joint auto-scaling task offloading approach edge/cloud is proposed this...