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Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media
(
CEUR-WS
, 2020 , Conference Paper)
We present an overview of the third edition of the CheckThat! Lab at CLEF 2020. The lab featured five tasks in Arabic and English, and here we focus on the three English tasks. Task 1 challenged the participants to predict ...
Overview of CheckThat! 2020 Arabic: Automatic Identification and Verification of Claims in Social Media
(
CEUR-WS
, 2020 , Conference Paper)
In this paper, we present an overview of the Arabic tasks of the third edition of the CheckThat! Lab at CLEF 2020. The lab featured three Arabic tasks over social media (and the Web): Task 1 on check-worthiness estimation, ...
Experimental Investigation and Uncertainty Prediction of the Load-Carrying Capacity of Composite Double Hat for Lattice Core Sandwich Panels Using Artificial Neural Network
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Carbon fiber reinforced composites are promising candidates for building advanced multifunctional structures with superior properties that are suitable for the next generation of automotive and aircraft applications. This ...
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection
(
Association for Computational Linguistics (ACL)
, 2021 , Conference Paper)
In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of April 2020. We collected 138 verified claims, ...
Optimized intake manifold designs and their effects on the operation and emissions of a gas-to-liquid diesel engine
(
American Society of Mechanical Engineers (ASME)
, 2020 , Conference Paper)
Two simultaneous strategies have been used in this work to reduce the diesel engine emissions. First, using novel manifold designs to generate strong turbulence and improve the fuel-air mixing inside the cylinder. The ...
A Malware Detection Method for Health Sensor Data Based on Machine Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Traditional signature-based malware detection approaches are sensitive to small changes in the malware code. Currently, most malware programs are adapted from existing programs. Hence, they share some common patterns but ...
A Natural User Interface and Blockchain-Based In-Home Smart Health Monitoring System
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In this paper, we propose a gesture-based secure interaction system with smart home IoT health devices to support elderly people or people with special needs. The framework uses a decentralized blockchain consensus for ...
Lightweight IoT Malware Detection Solution Using CNN Classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Internet of Things (IoT) is becoming more frequently used in more applications as the number of connected devices is in a rapid increase. More connected devices result in bigger challenges in terms of scalability, ...
A Lightweight Central Learning Approach for Arrhythmia Detection from ECG Signals
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
With the development of Internet-of-Things (IoT) applications, the concept of smart healthcare applications has gradually emerged to be the main factor in medicine. In fact, this raises the need to have a secure system ...
Highlight on cryptocurrencies mining with CPUs and GPUs and their benefits based on their characteristics
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Nowadays cryptography and their technologies have been with us for a long time. This field of science is developing day by day. Blockchain has come a long way since the birth of its first application. This application is ...