15 citations · 35 across the 19 of their papers we have counts for
14 papers · 1 filter
Elevated LiDAR Placement under Energy and Throughput Capacity Constraints
Michael C. Lucic, Hakim Ghazzai, Yehia Massoud
Elevated LiDAR (ELiD) has the potential to hasten the deployment of Autonomous Vehicles (AV), as ELiD can reduce energy expenditures associated with AVs, and can also be utilized f…
A Generative Graph Method to Solve the Travelling Salesman Problem
Amal Nammouchi, Hakim Ghazzai, Yehia Massoud
The Travelling Salesman Problem (TSP) is a challenging graph task in combinatorial optimization that requires reasoning about both local node neighborhoods and global graph structu…
Computational Resource Allocation for Edge Computing in Social Internet-of-Things
Abdullah Khanfor, Raby Hamadi, Hakim Ghazzai +3
The heterogeneity of the Internet-of-things (IoT) network can be exploited as a dynamic computational resource environment for many devices lacking computational capabilities. A sm…
Graph Neural Networks-based Clustering for Social Internet of Things
Abdullah Khanfor, Amal Nammouchi, Hakim Ghazzai +3
In this paper, we propose a machine learning process for clustering large-scale social Internet-of-things (SIoT) devices into several groups of related devices sharing strong relat…
A Photo-Based Mobile Crowdsourcing Framework for Event Reporting
Aymen Hamrouni, Hakim Ghazzai, Mounir Frikha +1
Mobile Crowdsourcing (MCS) photo-based is an arising field of interest and a trending topic in the domain of ubiquitous computing. It has recently drawn substantial attention of th…
A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
Mobile Crowdsourcing (MCS) is the generalized act of outsourcing sensing tasks, traditionally performed by employees or contractors, to a large group of smart-phone users by means…
Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani +1
The wide spread of mobile devices has enabled a new paradigm of innovation called Mobile Crowdsourcing (MCS) where the concept is to allow entities, e.g., individuals or local auth…
Leveraging Personal Navigation Assistant Systems Using Automated Social Media Traffic Reporting
Xiangpeng Wan, Hakim Ghazzai, Yehia Massoud
Modern urbanization is demanding smarter technologies to improve a variety of applications in intelligent transportation systems to relieve the increasing amount of vehicular traff…
Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction
Xiangpeng Wan, Hakim Ghazzai, Yehia Massoud
In this paper, we propose two automated text processing frameworks specifically designed to analyze online reviews. The objective of the first framework is to summarize the reviews…
Scalable and Secure Architecture for Distributed IoT Systems
Najmeddine Dhieb, Hakim Ghazzai, Hichem Besbes +1
Internet-of-things (IoT) is perpetually revolutionizing our daily life and rapidly transforming physical objects into an ubiquitous connected ecosystem. Due to their massive deploy…
A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT
Abdullah Khanfor, Aymen Hamrouni, Hakim Ghazzai +2
Spatial Mobile Crowdsourcing (SMCS) can be leveraged by exploiting the capabilities of the Social Internet-of-Things (SIoT) to execute spatial tasks. Typically, in SMCS, a task req…
Automated Service Discovery for Social Internet-of-Things Systems
Abdullah Khanfor, Hakim Ghazzai, Ye Yang +2
In this paper, we propose to design an automated service discovery process to allow mobile crowdsourcing task requesters select a small set of devices out of a large-scale Internet…
Autonomous UAV Navigation: A DDPG-based Deep Reinforcement Learning Approach
Omar Bouhamed, Hakim Ghazzai, Hichem Besbes +1
In this paper, we propose an autonomous UAV path planning framework using deep reinforcement learning approach. The objective is to employ a self-trained UAV as a flying mobile uni…
A Latency-Aware Task Offloading in Mobile Edge Computing Network for Distributed Elevated LiDAR
Michael C. Lucic, Hakim Ghazzai, Ahmad Alsharoa +1
Recently, elevated LiDAR (ELiD) has been proposed as an alternative to local LiDAR sensors in autonomous vehicles (AV) because of the ability to reduce costs and computational requ…