Browsing by Author "Menouar, Hamid"
Now showing items 1-20 of 54
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A Generic Spatiotemporal UAV Scheduling Framework for Multi-Event Applications
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)In this paper, a generic scheduling framework to manage a fleet of micro unmanned aerial vehicles (UAVs) is proposed. The objective is to employ multiple UAVs in sequential and parallel ways to cover spatially and temporally ... -
Advanced Mobility: Integrating Visible Light Communication and Sensing Technologies
( IEEE , 2024 , Conference)Visible Light Communication (VLC) is an emerging technology that has gained significant attention in recent years due to its immense potential for transforming transportation systems. VLC enables short-range high-speed, ... -
Advanced real-time traffic monitoring system based on V2X communications
( IEEE , 2014 , Conference)The number of vehicles on roads keeps increasing continuously, making the management of traffic flow, especially in big cities more and more challenging. One of the key enablers for having smooth traffic flows and better ... -
An Energy Efficient Overlay Cognitive Radio Approach in UAV-Based Communication
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference)Most of the drone-based applications require a time-limited access to the spectrum to complete data transmission due to limited battery capacity of these flying units. This paper proposes an efficient spectrum and energy ... -
An exploratory search strategy for data routing in flying ad hoc networks
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference)This paper investigates the problem of data routing in flying ad hoc networks (FANETs) composed of multiple flying nodes, i.e., unmanned aerial vehicles (UAVs), supported by communication platforms. The objective is to ... -
An Improved Dilated Convolutional Network for Herd Counting in Crowded Scenes
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Crowd management technologies that leverage computer vision are widespread in contemporary times. There exists many security-related applications of these methods, including, but not limited to: following the flow of an ... -
AVEC: A Statistical Framework for Adaptive Vehicular Edge Data Cleaning
( Springer , 2020 , Conference)In Vehicle-to-Vehicle and Vehicle-to-Infrastructure (V2X) communication, a large amount of data and information is transmitted over the air by the vehicles. If this data is captured, e.g., by a network of roadside units ... -
Cellular-based location service to support GeoUnicast communications in vehicular wireless networks
( IEEE , 2013 , Conference)Car to car communication has been getting considerable interest for the last decade, especially in the last few years where market introduction phase is approaching fast. A variety of applications will be enabled thanks ... -
CLIP: Train Faster with Less Data
( IEEE , 2023 , Conference)Deep learning models require an enormous amount of data for training. However, recently there is a shift in machine learning from model-centric to data-centric approaches. In datacentric approaches, the focus is to refine ... -
Cross-layer architecture for congestion control in Vehicular Ad-hoc Networks
( IEEE , 2013 , Conference)Vehicular Ad-hoc Networks (VANETs) are special kind of Mobile Ad-hoc Networks (MANETs). The distinctive characteristics of the VANETs include high speed of vehicular nodes and high variability in node density. Congestion ... -
Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs
( IEEE , 2023 , Conference)Visual crowd counting estimates the density of the crowd using deep learning models such as convolution neural networks (CNNs). The performance of the model heavily relies on the quality of the training data that constitutes ... -
Crowd Density Estimation using Imperfect Labels
( IEEE , 2023 , Conference)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 ... -
CSSA MAC: Carrier sense with slotted-Aloha multiple access MAC in vehicular network
( Inderscience Publishers , 2018 , Article)IEEE 802.11p and 1609.4 are key layers in the WAVE architecture. They have been chosen to work as random medium multiple accesses with a multichannel switching scheme between SCH to CCH. This paper tackles the 'start-of-interval ... -
Curriculum for Crowd Counting: Is It Worthy?
( Science and Technology Publications, Lda , 2024 , Conference)Recent advances in deep learning techniques have achieved remarkable performance in several computer vision problems. A notably intuitive technique called Curriculum Learning (CL) has been introduced recently for training ... -
Data Routing Challenges in UAV-assisted Vehicular Ad hoc Networks
( IARIA , 2017 , Conference)Reliable and efficient transportation system in smart cities relies on effective integration of connected and autonomous vehicles. Although there has been a lot of improvements in this technology, additional support from ... -
Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
( IEEE , 2024 , Article)The rapid evolution of modern automobiles into intelligent and interconnected entities presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) for In-Vehicle Networks (IVNs). This survey ... -
Design and implementation of a sustainable wireless BAN platform for remote monitoring of workers health care in harsh environments
( IEEE , 2014 , Conference)This paper presents experimental results on a body area network platform that accurately and precisely captures, processes, and wirelessly transmits six- degrees-of-freedom inertial and electrocardiogram data in a wearable, ... -
Distributed Upstream Data Cleaning in VANET
( IARIA , 2017 , Conference)The mobile road stations in Vehicular Ad~hoc NETworks (VANET) are generating huge quantities of traffic-related data over wireless communication medium. For different business purposes, data has to be collected by heterogeneous ... -
DroneNet: Crowd Density Estimation using Self-ONNs for Drones
( IEEE , 2023 , Conference)Video surveillance using drones is both convenient and efficient due to the ease of deployment and unobstructed movement of drones in many scenarios. An interesting application of drone-based video surveillance is to ... -
Drones-aided Asset Maintenance in Hospitals
( IEEE , 2022 , Conference)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 ...
