College of Engineering: المرسلات الحديثة
السجلات المعروضة 341 -- 360 من 8477
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Design of optimal ionic liquids for carbon dioxide capture via Computer- Aided Molecular Design (CAMD)
( Czech Society of Chemical Engineering , 2014 , Conference Paper)[No abstract available] -
A systematic review: The role of emerging carbon capture and conversion technologies for energy transition to clean hydrogen
( Elsevier , 2024 , Article Review)The exploitation of fossil fuels in various sectors, such as power and heat generation, and the transportation sector has been the primary source of greenhouse gas (GHG) emissions, which are the main contributors to global ... -
Development of a deep learning-based group contribution framework for targeted design of ionic liquids
( Elsevier , 2024 , Article)In this article, we present a novel deep learning-based group contribution framework for the targeted design of ionic liquids (ILs). This computational framework can expedite and improve the process of finding desirable ... -
Simulation and 3E assessment of pre-combustion CO2 capture process using novel Ionic liquids for blue H2 production
( Elsevier , 2024 , Article)Incorporating pre-combustion CO2 capture with H2 production is expected to be a crucial technology that significantly contributes to CO2 emissions reduction from the current H2 production methods that rely on natural gas. ... -
Multimodal Crowd Counting with Pix2Pix GANs
( Science and Technology Publications, Lda , 2024 , Conference Paper)Most state-of-the-art crowd counting methods use color (RGB) images to learn the density map of the crowd. However, these methods often struggle to achieve higher accuracy in densely crowded scenes with poor illumination. ... -
Curriculum for Crowd Counting: Is It Worthy?
( Science and Technology Publications, Lda , 2024 , Conference Paper)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 ... -
Coexistence of IEEE 802.15.4g and WLAN: An Adaptive Power Control Approach
( IEEE , 2023 , Conference Paper)This paper addresses the problem of coexistence between smart grid based wireless communication networks and other interfering signals. Particularly, the problem of interfering wireless local area network (WLAN) signals ... -
Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring
( IEEE , 2024 , Article)The traditional healthcare system is increasingly challenged by its dependence on inperson consultations and manual monitoring, struggling with issues of scalability, the immediacy of care, and efficient resource allocation. ... -
Multi-Symbol Rate NOMA for Improving Connectivity in 6G Communications Networks
( IEEE , 2024 , Article)In non-orthogonal multiple access (NOMA), user pairing, power allocation, and performance evaluation are typically performed assuming all users have equal symbol rates. However, such an assumption can significantly limit ... -
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 ... -
A Comprehensive Survey on Energy Efficiency in Federated Learning: Strategies and Challenges
( IEEE , 2024 , Conference Paper)Federated Learning (FL), a burgeoning approach in machine learning, facilitates collaborative model training across distributed devices while maintaining data privacy. Although gaining traction, FL faces a critical challenge ... -
The Future of Aerial Communications: A Survey of IRS-Enhanced UAV Communication Technologies
( IEEE , 2024 , Conference Paper)The advent of Intelligent Reflecting Surfaces (IRS) and Unmanned Aerial Vehicles (UAVs) is setting a new benchmark in the field of wireless communications. IRS, with their groundbreaking ability to manipulate electromagnetic ... -
Security-Driven Performance Analysis of Lightweight Cryptography for Energy Efficiency Applications
( IEEE , 2024 , Conference Paper)This paper provides a comprehensive analysis of the security-centric performance of the Lightweight Cryptography (LWC) algorithms ASCON, TinyJambu, and Xoodyak, finalists in the NIST standardization process, through their ... -
Federated Learning with Kalman Filter for Intrusion Detection in IoT Environment
( IEEE , 2024 , Conference Paper)Enhancing the IoT (Internet of Things) network for reliability prompted a heightened focus on device security, given their diverse characteristics and sensitive data exchange. Federated Learning (FL) gained attention for ... -
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, ... -
Leveraging Stakeholder Meeting and Stated Preferences to Design Optimal Mobility-as-a-Service Subscription Bundles
( Elsevier , 2024 , Conference Paper)MaaS (Mobility-as-a-Service) emerges as an innovative solution to urban transport challenges, offering a unified, user-focused platform that combines various modes of transport. Implementing TDM (Travel Demand Management) ... -
Reliability of Self-Reported Road Crash and Violation Data of Professional Drivers: The Case of Qatar
( Elsevier , 2024 , Conference Paper)Having accurate road traffic crashes (RTCs) and violations data is essential for establishing more realistic crash and casualty reduction programs. Although crash data commonly suffer from issues of accuracy and ...
