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ViDMASK dataset for face mask detection with social distance measurement
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Elsevier B.V.
, 2022 , Article)
The COVID-19 outbreak has extenuated the need for a monitoring system that can monitor face mask adherence and social distancing with the use of AI. With the existing video surveillance systems as base, a deep learning ...
Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Training centralized machine learning (ML) models becomes infeasible in wireless networks due to the increasing number of internet of things (IoT) and mobile devices and the prevalence of the learning algorithms to adapt ...
A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Emerging technologies change the qualities of modern healthcare by employing smart systems for patient monitoring. To well use the data surrounding the patient, tiny sensing devices and smart gateways are involved. These ...
Security Performance Analysis of a Health System using Hybrid NOMA-OMA based IoT System
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Internet of Things (IoT) systems have been playing a significant role in improving the quality of various applications and services. With the expansion increase of loT devices and users, different Multiple Access (MA) ...
UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The affordability and deployment-flexibility of Unmanned Air Vehicles (UAVs) have ignited the development of many smart applications, including surveillance, disaster management, and smart farming. Drone's energy consumption ...
Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Mobile Edge Learning (MEL) is a decentralized learning paradigm that enables resource-constrained IoT devices to either learn a shared model without sharing the data, or to distribute the learning task with the data to ...
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The recent pandemic along with the rapid increase in the number of patients that require continuous remote monitoring imposes several challenges to support the high quality of services (QoS) in remote health applications. ...
Crowd counting Using DRL-based segmentation and RL-based density estimation
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
People counting is one of the computer vision tasks that can be useful for crowd management. In addition, estimating the crowdedness of a surveilled scene for crowd behavior analysis is one of the prominent challenges in ...
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
(
Elsevier
, 2023 , Other)
Recently, developing automated video surveillance systems (VSSs) has become crucial to ensure the security and safety of the population, especially during events involving large crowds, such as sporting events. While ...
AI-based UAV navigation framework with digital twin technology for mobile target visitation
(
Elsevier
, 2023 , Article)
Unmanned Air Vehicles (UAVs), i.e. drones, have become a key enabler technology of many reconnaissance applications in different fields, such as military, maritime, and transportation. UAVs offer several benefits, such as ...