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السجلات المعروضة 31 -- 40 من 177
A New Deep Learning Method for Accurate Cardiac Heart Failure Prediction from RR Interval Measurements
(
IEEE
, 2022 , Conference Paper)
cardiovascular diseases are the major cause of death worldwide. Early detection of heart failure will assist patients and medical professionals in taking better precautions to reduce risks. The objective of this study is ...
Gear Tooth Crack Detection Using Modal Analysis
(
IEEE
, 2022 , Conference Paper)
This paper aims to propose an experimental method to detect and quantify the existence of cracks in spur gear teeth using modal analysis. Frequency Response Functions FRFs obtained analytically in previous work are considered ...
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 ...
Assistive Telexistence System Using Motion Blending
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Robotic avatar and telexistence systems have risen in prominence after the covid-19 pandemic, where current telecommunication methods are limited in terms of physical interaction abilities. Most existing systems focus on ...
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 ...
Analysis of Unsupervised Consumption Anomaly Detection in Sports Facilities using Artificial Intelligence-Based Data Analytics: A Case Study
(
Association for Computing Machinery (ACM)
, 2023 , Conference Paper)
Sports facilities have exceptionally high energy demand due to the extensive operational requirements and high-occupancy seasonal rates. Towards promoting efficient energy usage and minimal losses, consumption anomaly ...
Significance of GOs, GNPs and CNTs' Nanomaterials on the Mechanical Properties of Cement
(
Qatar University Press
, 2023 , Conference Paper)
This study reports the statistical significance of using Graphene Oxides (GOs), Graphene Nanoplatelets (GNPs) and Carbon Nanotubes (CNTs) on the mechanical properties of cement paste. Samples containing several nanoparticles' ...
Optimum Design of Plane Trusses Using Mathematical and Metaheuristic Algorithms on a Spreadsheet
(
Qatar University Press
, 2023 , Conference Paper)
Mathematical optimization refers to the process of finding the values of variables that maximize or minimize a function. Structural optimization is the process of designing a structure in such a way as to minimize its ...
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Mobile edge computing (MEC) has been considered as a promising technology to provide seamless integration of multiple application services. Federated learning (FL) is carried out at edge clients in MEC for privacy-preserving ...
Queue Discharge at Freeway On-Ramps Using Coordinated Operation of a Ramp Meter and an Upstream Traffic Signal
(
Elsevier
, 2020 , Conference Paper)
Ramp metering is an effective way of maintaining optimum traffic conditions and mitigating congestion on freeways. Several strategies for ramp metering exist in the literature. They are typically based on the freeway traffic ...