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Now showing items 91-100 of 100
IDRISI-RA: The First Arabic Location Mention Recognition Dataset of Disaster Tweets
(
Association for Computational Linguistics (ACL)
, 2023 , Conference Paper)
Extracting geolocation information from social media data enables effective disaster management, as it helps response authorities; for example, in locating incidents for planning rescue activities, and affected people for ...
Wearable AI Reveals the Impact of Intermittent Fasting on Stress Levels in School Children During Ramadan
(
IOS Press BV
, 2023 , Conference Paper)
Intermittent fasting has been practiced for centuries across many cultures globally. Recently many studies have reported intermittent fasting for its lifestyle benefits, the major shift in eating habits and patterns is ...
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 ...
Finding the Nearest Negative Imaginary System with Application to Near-Optimal Controller Design
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
In this paper, we consider the problem of robust stabilization of linear time-invariant systems with respect to unmodeled dynamics and structure uncertainties. To that end, we first present a methodology to find the nearest ...
Optimal Sizing of Renewable Generation and Battery Energy Storage System for Electric Vehicles Considering Energy Management Strategy
(
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 ...
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. ...
Probabilistic Integration of Demand Flexibilities in a Renewable Energy-Assisted Community Network
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
This paper proposes a novel decision-making tool aiding community operators in optimally procuring their energy needs from available supply sources while incorporating potential demand-side flexibilities. The supply sources ...
Consumers' Willingness to Invest in Smart Home Technologies Using Machine Learning: A Survey-Based Analysis in Qatar
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
This paper investigates the consumers' willingness to invest in smart home technologies and the savings they expect by using machine learning. Data is gathered using questionnaires from 2,014 consumers who participated in ...