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Outlier detection approaches based on machine learning in the internet-of-things
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Outlier detection in the Internet of Things (IoT) is an essential challenge issue studied in numerous fields, including fraud monitoring, intrusion detection, secure localization, trust management, and so on. Conventional ...
Cluster-based Cooperative Multicast for Multimedia Data Dissemination in Vehicular Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the development of communication technologies, vehicular network applications have evolved from basic traffic safety and efficiency applications to information and entertainment applications. The implementation of ...
A Differentially Private Classification Algorithm with High Utility for Wireless Body Area Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The advancement of the wireless body area networks (WBAN) and sensor technologies allows us to collect a variety of physiological and behavioral data from human body. And appropriate application of machine learning methods ...
Dynamic Time-Threshold Based Receive Buffer for Vehicle-to-Cloud Multipath Transmission
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Vehicle-to-cloud is a network access model that aims to share computing resources for vehicles. In vehicle-to-cloud communication, reliable links are critical. Through multipath transmission, comprehensive utilization of ...
Combating jamming attacks in multi-channel IoT networks using game theory
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Jamming attacks are among the most widely used techniques to block and disturb legitimate communications. Several techniques are used in the literature to combat these attacks. However, most of them either require the ...
Machine Learning-based Regression and Classification Models for Oil Assessment of Power Transformers
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Expensive and widely used power and distribution transformers need to be monitored to ensure the reliability of the power grid. Evaluating the transformer oil different parameters is vital to determine the transformer ...
Securing Smart Grid Communication using Ethereum Smart Contracts
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Smart grids are being continually adopted as a replacement of the traditional power grid systems to ensure safe, efficient, and cost-effective power distribution. The smart grid is a heterogeneous communication network ...
Finding Behavioural and Imaging Biomarkers of Major Depressive Disorder (MDD) using Artificial Intelligence: A Review
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Major Depressive Disorder (MDD) is a serious ailment in mental health and is a medical illness that has a debilitating impact on a person's ability to think effectively. According to the World Health Organization (WHO), ...
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
This paper conveys the importance of using suitable data visualizations for electrical energy consumption and the effect it carries on reducing said consumption. Data visualization tools construct an important pillar in ...
Using Deep Learning to Predict Stock Movements Direction in Emerging Markets: The Case of Qatar Stock Exchange
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Deep learning approaches have been utilized to predict stocks. In this study, we use convolutional neural network (CNN) to predict stocks direction in Qatar stock exchange (QE) as a case of emerging markets. Prediction in ...