Electrical Engineering
Recent Submissions
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Design and Simulation of Efficient Power Converters for Vehicle to Grid Applications
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Vehicle to grid (V2G) is a system where the flow of power between the grid and the vehicle is bidirectional; the power stored in an EV can be fed back into the grid in times of peak load or fed back into the EV if it needs ... -
A New Triswitching Double Duty High Voltage Gain Boost Converter for DC Nanogrid Application
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The Tri-switching Double Duty Converter (TSDDC) is a new non-isolated high gain DC-DC boost converter topology presented in this article for 400 V PV-based DC Nanogrid application. In a conventional DC nanogrid system, two ... -
Robust Strategic Behavior of a Large Multi-Energy Consumer in Electricity Market Considering Integrated Demand Response
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Integrated demand response (IDR) is a cost-effective approach to promoting renewable energy consumption and energy saving in multi-energy systems. The efficient use of the flexibility of demand-side energy sources as well ... -
Look-ahead scheduling of energy-water nexus integrated with Power2X conversion technologies under multiple uncertainties
( Elsevier Ltd , 2023 , Article)Co-optimizing energy and water resources in a microgrid can increase efficiency and improve economic performance. Energy-water storage (EWS) devices are crucial components of a high-efficient energy-water microgrid (EWMG). ... -
Local Energy Market Design for Power-and Hydrogen-Based Microgrids Considering a Hybrid Uncertainty Controlling Approach
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Despite the significant merits of plugin electric vehicles (PEVs) and fuel cell electric vehicles (FCEVs), their enormous rise has posed serious challenges in terms of energy supply. This research proposes a sustainable ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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, ... -
Satellite
( IEEE , 2022 , Conference Paper)The fifth generation (5G) Wireless Communication systems development has brought out a paradigm shift using advanced technologies e.g., softwarization, virtualization, Massive MIMO, ultra-densification and introduction of ...
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