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The 100 most influential persons in history": A data mining perspective
(2011 , Conference Paper)
Data mining has been widely applied in various domains; however, there have been limited studies into discovering hidden knowledge from factual data about selected groups of people with special characteristics. It is ...
Towards cost-effective maintenance of power transformer by accurately predicting its insulation condition
(2012 , Conference Paper)
Insulation resistance (IR) or Megger test has been commonly performed in both preventive and corrective maintenance activities to verify power transformers' insulation condition. Other insulation diagnosis tests such as ...
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 ...
Regional failure survivability for cloud networking services using post fault restoration
(2013 , Conference Paper)
Cloud computing services are being adopted to expand applications across dispersed data-center sites. As these new paradigms require active data exchange, they impose further virtual network (VN) mappings over operator ...
Research-based learning in computing courses for senior engineering students
(2012 , Conference Paper)
This paper reports on the experience and lessons learned from introducing a constructivist inquiry-based learning (IBL) in advanced computing courses. The paper describes an iterative problem-centric process and gives ...
Credit default swap pricing using artificial neural networks
(2010 , Conference Paper)
The credit derivatives market has experienced unprecedented growth over the past few years. As such, there is a growing interest in tools for pricing the most prominent credit derivative, the credit default swap. In this ...
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Opinion mining in Arabic is a challenging task given the rich morphology of the language. The task becomes more challenging when it is applied to Twitter data, which contains additional sources of noise, such as the use ...
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 ...
Hulmona ( حلمنا ): The universal language model in arabic
(
Association for Computational Linguistics (ACL)
, 2019 , Conference Paper)
Arabic is a complex language with limited resources which makes it challenging to produce accurate text classification tasks such as sentiment analysis. The utilization of transfer learning (TL) has recently shown promising ...
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), ...