QMIC Research: Recent submissions
Now showing items 201-219 of 219
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Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs
( IEEE , 2023 , Conference Paper)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 ... -
RL-CEALS: Reinforcement Learning for Collaborative Edge Assisted Live Streaming
( IEEE , 2023 , Conference Paper)Crowdsourced live streaming services (CLS) present significant challenges due to massive data size and dynamic user behavior. Service providers must accommodate personalized QoE requests, while managing computational burdens ... -
CLIP: Train Faster with Less Data
( IEEE , 2023 , Conference Paper)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 ... -
DroneNet: Crowd Density Estimation using Self-ONNs for Drones
( IEEE , 2023 , Conference Paper)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 ... -
Advanced Mobility: Integrating Visible Light Communication and Sensing Technologies
( IEEE , 2024 , Conference Paper)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, ... -
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 ... -
LCDnet: a lightweight crowd density estimation model for real-time video surveillance
( Institute for Ionics , 2023 , Article)Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation models using convolution neural networks ... -
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 ... -
Air quality monitoring and prediction system using machine-to-machine platform
(2012 , Conference Paper)This paper presents an ambient air quality monitoring and prediction system. The system consists of several distributed monitoring stations that communicate wirelessly to a backend server using machine-to-machine communication ... -
VALS: Vehicle-Aided location service in urban environment
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In Vehicular Ad-hoc Networks (VANETs), any vehicle uses a location service to get an up-To-date data of all vehicles' positions in its vicinity. Many location services rely on infrastructures to perform location update and ... -
Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, we study a multiple-antenna two-way relaying (TWR) cognitive radio (CR) system. A space alignment (SA) technique is adopted by the secondary users (SUs) to avoid interference with the primary users (PUs). ... -
Implementation and benchmarking of a novel routing protocol for tactical mobile ad-hoc networks
( IEEE Computer Society , 2016 , Conference Paper)Providing efficient routing service over tactical multi-hop ad-hoc networks is a crucial building block in wireless communication networks especially during a disaster relief. To date, there is still a lack of routing ... -
Green operator cooperation for radio frequency transmission minimization
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)The increasing demand for reliable mobile services with faster communications speed requires high capital investment in the radio access networks. This leads to enormous energy consumption, high operational costs (OPEX), ... -
A novel multi-hop body-To-body routing protocol for disaster and emergency networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, a new multi-hop routing protocol (called ORACE-Net) for disaster and emergency networks is proposed. The proposed hierarchical protocol creates an ad-hoc network through body-To-body (B2B) communication ... -
Group owner election in Wi-Fi direct
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Wi-Fi Direct is a new protocol that standardizes the direct communication between Wi-Fi enabled mobile devices without requiring an access point. The specification proposes enhanced peer-to-peer functions to be supported ... -
A Hybrid Energy Sharing Framework for Green Cellular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Cellular operators are increasingly turning toward renewable energy (RE) as an alternative to using traditional electricity in order to reduce operational expenditure and carbon footprint. Due to the randomness in both RE ... -
Joint Demand-Side Management in Smart Grid for Green Collaborative Mobile Operators under Dynamic Pricing and Fairness Setup
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)In this paper, the interactions between multiple mobile operators, owning heterogeneous cellular networks, and energy retailers existing in the smart grid are investigated. Energy procurement decisions of the cellular ... -
An adaptive Kalman filter based traffic prediction algorithm for urban road network
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Frequent traffic congestion and gridlocks are causing global economies staggering cost in terms of fuel consumption, time wastage, and public health. To rectify this problem, many advocates combining Information and ... -
Resource allocation with interference mitigation in femtocellular networks
( John Wiley & Sons, Ltd. , 2012 , Article)The introduction of femtocells enabled high data rates and better indoor coverage without the need for expanding or increasing the density of cellular networks deployment or upgrading the cellular network infrastructure. ...
