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Qatar Green Schools Initiative: Energy Management System with Cost-Efficient and Lightweight Networked IoT
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the growing need of developing real-time energy management and automation systems, building energy efficiency is of large focus in recent research. In particular, school buildings require special attention to occupants' ...
Performance Evaluation of No-Pairing ECC-Based KPABE on IoT Platforms
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Internet of Things (IoT) networks operating in lightweight resource-constrained devices have been growing constantly in a wide range of areas. Such networks collect sensitive information over time that represent the users' ...
Mesh Network-Based Device-To-Device Negotiation System for Energy Management
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Electric utilities encounter high-load demand during peak times leading to high losses in the power system. Recent research has targeted the improvement of efficient energy consumption at the demanding areas. Therefore, ...
Crowd Density Estimation using Imperfect Labels
(
IEEE
, 2023 , Conference Paper)
Density estimation is one of the most widely used method for crowd counting in which a deep learning model learns from head annotated crowd images to estimate crowd density in unseen images. Typically, the learning performance ...
Drones-aided Asset Maintenance in Hospitals
(
IEEE
, 2022 , Conference Paper)
The rapid outbreak of COVID-19 pandemic invoked scientists and researchers to prepare the world for future disasters. During the pandemic, global authorities on healthcare urged the importance of disinfection of objects ...
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
(
IEEE
, 2022 , Conference Paper)
Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ...
Federated Learning for UAV Swarms under Class Imbalance and Power Consumption Constraints
(
IEEE
, 2021 , Conference Paper)
The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches. Despite the abundance of such advantages, ...
Employing Information Theoretic Metrics with Data-Driven Occupancy Detection Approaches: A Comparative Analysis
(
IEEE
, 2022 , Conference Paper)
Building occupancy data helps increase energy management systems' performance, enabling lower energy use while preserving occupant comfort. The focus of this study is employing environmental data (e.g., including but not ...
Secure AF Relaying in Power-Constrained UAV Networks
(
IEEE
, 2021 , Conference Paper)
This paper proposes a secure amplify-and-forward (AF) relaying scheme in unmanned aerial vehicle (UAV) networks while accounting for the power consumption limitations of UAVs. Since a UAV's battery life is limited, we ...
Secure Medical Data Sharing for Healthcare System
(
IEEE
, 2022 , Conference Paper)
A new generation of advanced information technologies are used nowadays by healthcare systems to provide access to affordable and high-quality healthcare services. However, such services, generally require a large amount ...