Browsing by Author "Shaban, Khaled Bashir"
Now showing items 1-20 of 41
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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 ... -
A meta-framework for modeling the human reading process in sentiment analysis
( Association for Computing Machinery , 2016 , Article)This article introduces a sentiment analysis approach that adopts the way humans read, interpret, and extract sentiment from text. Our motivation builds on the assumption that human interpretation should lead to the most ... -
A multiresolution approach to Recommender systems
( Association for Computing Machinery, Inc , 2014 , Conference Paper)Recommender systems face performance challenges when dealing with sparse data. This paper addresses these challenges and proposes the use of Harmonic Analysis. The method provides a novel approach to the user-item matrix ... -
A sentiment treebank and morphologically enriched recursive deep models for effective sentiment analysis in Arabic
( Association for Computing Machinery , 2017 , Article)Accurate sentiment analysis models encode the sentiment of words and their combinations to predict the overall sentiment of a sentence. This task becomes challenging when applied to morphologically rich languages (MRL). ... -
Accurate Classification of Partial Discharge Phenomena in Power Transformers in the Presence of Noise
(2017 , Master Thesis)The objective of this research is to accurately classify different types of Partial Discharge (PD) phenomenon that occurs in transformers in the presence of noise. A PD is an electrical discharge or spark that bridges a ... -
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 ... -
Air quality monitoring and prediction system using machine-to-machine platform
(2012 , Conference Paper)This paper presents an ambient air quality monitoring and prediction system. The system consists of several distributed monitoring stations that communicate wirelessly to a backend server using machine-to-machine communication ... -
AROMA: A recursive deep learning model for opinion mining in Arabic as a low resource language
( Association for Computing Machinery , 2017 , Article Review)While research on English opinion mining has already achieved significant progress and success, work on Arabic opinion mining is still lagging. This is mainly due to the relative recency of research efforts in developing ... -
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 ... -
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, ... -
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 ... -
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 ... -
Directed graph-based wireless EEG sensor channel selection approach for cognitive task classification
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Wireless electroencephalogram (EEG) sensors have been successfully applied in many medical and computer brain interface classifications. A common characteristic of wireless EEG sensors is that they are low powered devices, ... -
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 ... -
Energy conservation-based thresholding for effective wavelet denoising of partial discharge signals
( Institution of Engineering and Technology , 2016 , Article)Recent studies have shown that wavelet transform can effectively be used for noise reduction in the context of partial discharge (PD) signal detection and classification. Several thresholding approaches for wavelet denoising ... -
Enhancing medical named entity recognition with an extended segment representation technique
( Elsevier , 2015 , Article)Objective: The objective of this paper is to formulate an extended segment representation (SR) technique to enhance named entity recognition (NER) in medical applications. Methods: An extension to the IOBES (Inside/Outsi ... -
Enhancing the performance of post-failure restoration schemes in multi-tenant networks
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Failure in the physical network can cause a temporal or permanent unavailability of some resources, which can lead to a quality of service (QoS) degradation and loss of revenue. While much work has been dedicated to the ... -
Global stabilization of autonomous underactuated underwater vehicles in 3D space
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, global asymptotic stabilization of an autonomous underactuated underwater vehicle (AUUV) is investigated, where the number of actuators of the AUUV is less than the vehicle's degrees of freedom. The model ... -
Histogram-based thresholding in discrete wavelet transform for partial discharge signal denoising
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)White noise is a major interference source that affects the partial discharge (PD) signal detection and recognition. Wavelet shrinkage denoising methods can efficiently reject the white noise embedded in the PD signal ...
