College of Engineering: Recent submissions
Now showing items 3021-3040 of 8730
-
CAT: Credibility Analysis of Arabic Content on Twitter
( Association for Computational Linguistics (ACL) , 2017 , Conference)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 ... -
Attention-Based Model for Accurate Stance Detection
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference)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)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 ... -
Air quality monitoring and prediction system using machine-to-machine platform
(2012 , Conference)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 ... -
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 ... -
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
( Elsevier , 2017 , Conference)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)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 ... -
Deep learning models for sentiment analysis in arabic
( Association for Computational Linguistics (ACL) , 2015 , Conference)In this paper, deep learning framework is proposed for text sentiment classification in Arabic. Four different architectures are explored. Three are based on Deep Belief Networks and Deep Auto Encoders, where the input ... -
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. ... -
Classification ensemble to improve medical named entity recognition
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)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 ... -
Distribution system restoration based on cooperative multi-agent approach
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)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)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)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 ... -
Finding Behavioural and Imaging Biomarkers of Major Depressive Disorder (MDD) using Artificial Intelligence: A Review
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)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), ... -
Hulmona ( حلمنا ): The universal language model in arabic
( Association for Computational Linguistics (ACL) , 2019 , Conference)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 ... -
Empathy and Persona of English vs. Arabic Chatbots: A Survey and Future Directions
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference)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 ... -
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 ... -
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 ... -
Histogram-based thresholding in discrete wavelet transform for partial discharge signal denoising
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)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 ... -
Hybrid intelligent system for disease diagnosis based on artificial neural networks, fuzzy logic, and genetic algorithms
(2011 , Conference)Disease diagnosis often involves acquiring medical images using devices such as MRI, CT scan, x-ray, or mammograms of patients' organs. Though many medical diagnostic applications have been proposed; finding subtle cancerous ...
