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Social media data analysis of IoT risks in smart cities
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2023 , Conference Paper)
Social media has emerged as the most popular platform for individuals from all walks of life who wish to connect with one another to discuss recent news or events that have taken place all over the globe. Twitter, in ...
Exploring Deep Time-Series Imaging for Anomaly Detection of Building Energy Consumption
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2022 , Conference Paper)
Although deep anomaly detection (DAD) is crucial to optimize energy management in smart buildings, there is a lack of efficient research investigating DAD of energy consumption time-series. Besides, analyzing one-dimensional ...
Recommendation System Towards Residential Energy Saving Based on Anomaly Detection
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2022 , Conference Paper)
This paper presents a recommender system to promote energy consumption reduction behaviors in residential buildings. The system exploits data stream processing methods jointly with machine learning algorithms on real-time ...
Optimal Sizing of Renewable Generation and Battery Energy Storage System for Electric Vehicles Considering Energy Management Strategy
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Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
This paper proposes the optimum capacity of renewable based energy system considering Solar PV, Wind turbines and Battery energy storage for meeting plugin-in Electric vehicles (PEV) load requirements in a case study of ...
Reconstruction of Road Defects from Dynamic Vehicle Accelerations by Using the Artificial Neural Networks
(
Springer Science and Business Media B.V.
, 2023 , Conference Paper)
Monitoring of roads is considered the first step in establishing a successful road maintenance program, which includes scheduling adequate maintenance to a certain road section at the right time. Road monitoring assesses ...
A MEASUREMENT CAMPAIGN TO INVESTIGATE THE EFFECT OF USING SOFT RAILPADS ON GROUND-BORNE VIBRATIONS FROM UNDERGROUND RAILWAYS
(
Society of Acoustics
, 2023 , Conference Paper)
Railway networks may run through or beneath populated regions and significant landmarks. Hence, the ground-borne vibration caused by the trains might affect nearby buildings, residents, and the sensitive equipment within ...
PREDICTING ROAD ROUGHNESS PROFILE USING DYNAMIC VEHICLE ACCELERATIONS AND ARTIFICIAL NEURAL NETWORKS
(
Society of Acoustics
, 2022 , Conference Paper)
Road roughness can cause ride discomfort and contribute to the emission of ground-borne noise and vibration. A robust monitoring regime of road roughness is essential for the efficient maintenance of a country's road ...
MODAL CHARACTERIZATION AND ROAD ROUGHNESS RECONSTRUCTION USING DYNAMIC VEHICLE ACCELERATIONS AND ANNS
(
National Technical University of Athens
, 2023 , Conference Paper)
Road networks are considered huge and critical infrastructures that support the development and growth of societies. These infrastructures deteriorate over time due to regular usage and/or external environmental factors. ...
THz vs. FSO: An Outage Probability and Channel Capacity Performance Comparison Study
(
IEEE
, 2023 , Conference Paper)
The main subject of this work is to make a detailed comparison between the performance of free-space optical (FSO) and terahertz (THz) links under different conditions. To this end, we first perform a detailed modeling of ...
UAV Trajectory Optimization for Directional THz Links Using Deep Reinforcement Learning
(
IEEE
, 2023 , Conference Paper)
As an alternative solution for quick disaster recovery of backhaul/fronthaul links, in this paper, a dynamic unmanned aerial vehicles (UAV)-assisted heterogeneous (HetNet) network equipped with directional terahertz (THz) ...