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Sentiment Analysis in Comments Associated to News Articles: Application to Al Jazeera Comments
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Sentiment analysis is a very important research task that aims at understanding the general sentiment of a specific community or group of people. Sentiment analysis of Arabic content is still in its early development stages. ...
Location-Based Seeds Selection for Influence Blocking Maximization in Social Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Influence blocking maximization (IBM) is a key problem for viral marketing in competitive social networks. Although the IBM problem has been extensively studied, existing works neglect the fact that the location information ...
Conceptual-based Functional Dependency Detection Framework
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Nowadays, knowledge discovery from data is one of the challenging problems, due to its importance in different fields such as; biology, economy and social sciences. One way of extracting knowledge from data can be achieved ...
HoliTrust-A holistic cross-domain trust management mechanism for service-centric internet of things
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Internet of Things (IoT) is proposed and used in diverse application domains. In IoT, nodes commonly have a low capacity to maintain security on their own expenses, which increases the vulnerability for several attacks. ...
Optimum design of haptic seat for driving simulator
(
Association for Computing Machinery
, 2014 , Conference Paper)
This work aims to design and develop an optimal vibrotactile seat to provide a high level of satisfaction to the driver. The main critical design parameters were considered and experiments were conducted to investigate the ...
Named Entity Disambiguation using Hierarchical Text Categorization
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Named entity extraction is an important step in natural language processing. It aims at finding the entities which are present in text such as organizations, places or persons. Named entities extraction is of a paramount ...
Open IoT Ecosystem for Sporting Event Management
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
By connecting devices, people, vehicles, and infrastructures everywhere in a city, governments and their partners can improve community well-being and other economic and financial aspects (e.g., cost and energy savings). ...
Almost BPXOR Coding Technique for Tolerating Three Disk Failures in RAID7 Architectures
(
Hamad bin Khalifa University Press (HBKU Press)
, 2018 , Conference Paper)
Redundant Array of Independent Disks (RAID) storage architectures provide protection of digital infrastructure against potential disks failures. For example, RAID-5 and RAID-6 architectures provide protection against one ...
Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics
(
Public Library of Science
, 2013 , Article)
Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve ...
A study on the design and effectiveness of tactile feedback in sriving simulator
(
IEEE Computer Society
, 2014 , Conference Paper)
Driving simulations are widely used to send navigational and warning information to help drivers navigate safely. The traditional approaches are to use visual and auditory channels which can cause sensory overloading. ...