College of Engineering: Recent submissions
Now showing items 2701-2720 of 8384
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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. ... -
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 ... -
Distribution system restoration based on cooperative multi-agent approach
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents a robust power restoration mechanism that can operate in typical distribution systems without the need of supervision from a central point or intervention from the operator. The restoration is carried ... -
Cost effective assessment of transformers using machine learning approach
( IEEE Computer Society , 2014 , Conference Paper)Furan content in transformer oil is highly correlated with the transformer insulation paper aging. In this paper, the ranges of furan content in power transformer is predicted using measurements of transformer oil tests ... -
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 ... -
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
( Elsevier , 2017 , Conference Paper)Sentiment analysis in Arabic is challenging due to the complex morphology of the language. The task becomes more challenging when considering Twitter data that contain significant amounts of noise such as the use of Arabizi, ... -
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 ... -
Computer aided diagnosis system based on machine learning techniques for lung cancer
(2012 , Conference Paper)Cancer is a leading cause of death worldwide. Lung cancer is a type of cancer that is considered as one of the most leading causes of death globally. In Malaysia, it is the 3rd common cancer type and the 2nd type of cancer ... -
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 ... -
Automated knowledge discovery in facility layout planning
( International Business Information Management Association, IBIMA , 2014 , Conference Paper)This paper proposes a novel methodology for facilities layout planning and optimization in which fitness evaluation of layout alternatives is done in an automated manner using an artificial neural network trained to user ... -
Classification ensemble to improve medical named entity recognition
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)An accurate Named Entity Recognition (NER) is important for knowledge discovery in text mining. This paper proposes an ensemble machine learning approach to recognise Named Entities (NEs) from unstructured and informal ... -
A light lexicon-based mobile application for sentiment mining of arabic tweets
( Association for Computational Linguistics (ACL) , 2015 , Conference Paper)Most advanced mobile applications require server-based and communication. This often causes additional energy consumption on the already energy-limited mobile devices. In this work, we provide to address these limitations ... -
Acoustic partial discharge signal denoising using power spectral subtraction
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Measuring partial discharge (PD) phenomena in power transformers is often conducted by acoustic emission (AE) method. However, many interference sources are usually encountered with the captured PD signals which negatively ... -
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 probabilistic multi-tenant model for virtual machine mapping in cloud systems
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)A novel probabilistic multi-tenant model is developed to characterize the service performance of cloud systems. The model considers essential cloud-system characteristics including virtualization, multi-tenancy and ... -
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 ... -
A semantic approach for document clustering
( Academy Publisher , 2009 , Article)Conventional document mining systems mainly use the presence or absence of keywords to mine texts. However, simple word counting and frequency distributions of term appearances do not capture the meaning behind the words, ... -
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 cascade of artificial neural networks to predict transformers oil parameters
(2009 , Article)In this paper artificial neural networks have been constructed to predict different transformers oil parameters. The prediction is performed through modeling the relationship between the insulation resistance measured ...
