QMIC Research: المرسلات الحديثة
السجلات المعروضة 101 -- 110 من 110
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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 ... -
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. ...
