Browsing by Author "Shaban, Khaled"
Now showing items 1-20 of 46
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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 ... -
A CNN-Sequence-to-Sequence network with attention for residential short-term load forecasting
( Elsevier , 2022 , Article)Residential short-term load forecasting has become an essential process to develop successful demand response strategies, and help utilities and customers optimize energy production and consumption. Most previous works ... -
A hybridized genetic algorithm for cost estimation in bridge maintenance systems
(2010 , Conference Paper)A hybridized genetic algorithm is proposed to determine a repair schedule for a network of bridges. The schedule aims for the lowest overall cost while maintaining each bridge at satisfactory quality conditions. Appreciation, ... -
A Reliability-Aware Network Service Chain Provisioning with Delay Guarantees in NFV-Enabled Enterprise Datacenter Networks
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Traditionally, service-specific network functions (NFs) (e.g., Firewall, intrusion detection system, etc.) are executed by installation-and maintenance-costly hardware middleboxes that are deployed within a datacenter ... -
A review on challenging issues in Arabic sentiment analysis
( Science Publications , 2016 , Article Review)Understanding what people think about an idea or how they evaluate a product, a service or a policy is important for individuals, companies and governments. Sentiment analysis is the process of automatically identifying ... -
Accurate partial discharge classification from acoustic emission signals
(2013 , Conference Paper)Accurate partial discharge (PD) classification provides significant information to asses power transformers' insulation condition. The work presented in this paper aims to improve classification from acoustic emission ... -
Application of ensemble classification method for power transformers condition assessment
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The increase in the amount of data acquired from the monitoring of power system components has motivated utilities to employ effective strategies for processing the information collected. Hence, salient features can be ... -
Arabic corpora for credibility analysis
( European Language Resources Association (ELRA) , 2016 , Conference Paper)A significant portion of data generated on blogging and microblogging websites is non-credible as shown in many recent studies. To filter out such non-credible information, machine learning can be deployed to build automatic ... -
Association rule mining on five years of motor vehicle crashes
( EDP Sciences , 2016 , Conference Paper)Every year, road accidents kill more than a million people and injure more than 20 million worldwide. This paper aims to offer guidance on road safety and create awareness by pinpointing the major causes of traffic accidents. ... -
Attention-Based Model for Accurate Stance Detection
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)Effective representation learning is an essential building block for achieving many natural language processing tasks such as stance detection as performed implicitly by humans. Stance detection can assist in understanding ... -
C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques
( Springer Science and Business Media Deutschland GmbH , 2022 , Book chapter)We propose C-SAR, a Class-specific and Adaptive Recognition algorithm for Arabic handwritten Cheques. Existing methods suffer from low accuracy due to the complex structure of Arabic script and high-dimensional datasets. ... -
CAT: Credibility Analysis of Arabic Content on Twitter
( Association for Computational Linguistics (ACL) , 2017 , Conference Paper)Data generated on Twitter has become a rich source for various data mining tasks. Those data analysis tasks that are dependent on the tweet semantics, such as sentiment analysis, emotion mining, and rumor detection among ... -
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 ... -
Delay-Aware Flow Scheduling in Low Latency Enterprise Datacenter Networks: Modeling and Performance Analysis
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Real-time interactive application workloads (e.g., Web search, social networking, and so on) appear in the form of a large number of mini requests and responses flowing over the datacenters' networks. They end up being ... -
Delay-Aware Scheduling and Resource Optimization with Network Function Virtualization
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)To accelerate the implementation of network functions/middle boxes and reduce the deployment cost, recently, the concept of network function virtualization (NFV) has emerged and become a topic of much interest attracting ... -
Demand Response in HEMSs Using DRL and the Impact of Its Various Configurations and Environmental Changes
( MDPI , 2022 , Article)With smart grid advances, enormous amounts of data are made available, enabling the training of machine learning algorithms such as deep reinforcement learning (DRL). Recent research has utilized DRL to obtain optimal ... -
Detecting deception attacks in cyber-physical linear parameter varying systems with packet loss
( John Wiley and Sons Ltd , 2023 , Article)The increased connectivity of cyber-physical systems (CPS) to enterprise networks raises challenging security concerns. Detecting attacks on CPS is a vital step to improving their security. Most of the existing attack ... -
DRL-HEMS: Deep Reinforcement Learning Agent for Demand Response in Home Energy Management Systems Considering Customers and Operators Perspectives
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)With the smart grid and smart homes development, different data are made available, providing a source for training algorithms, such as deep reinforcement learning (DRL), in smart grid applications. These algorithms allowed ... -
Empathy and Persona of English vs. Arabic Chatbots: A Survey and Future Directions
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)There is a high demand for chatbots across a wide range of sectors. Human-like chatbots engage meaningfully in dialogues while interpreting and expressing emotions and being consistent through understanding the user's ... -
EVALUATION OF 2D AND 3D TECHNIQUES FOR SENTIMENT VISUALIZATION
(2018 , Master Thesis)With the rise of user generated content on the Internet, sentiment visualization is being highly researched and practiced. Advances in information visualization, such as the use of three-dimensional visualizations need to ...
