Computer Science & Engineering: Recent submissions
Now showing items 821-840 of 2402
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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 ... -
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 ... -
Toward Reinforcement-Learning-Based Service Deployment of 5G Mobile Edge Computing with Request-Aware Scheduling
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)5G wireless network technology will not only significantly increase bandwidth but also introduce new features such as mMTC and URLLC. However, high request latency will remain a challenging problem even with 5G due to the ... -
Dynamic Time-Threshold Based Receive Buffer for Vehicle-to-Cloud Multipath Transmission
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Vehicle-to-cloud is a network access model that aims to share computing resources for vehicles. In vehicle-to-cloud communication, reliable links are critical. Through multipath transmission, comprehensive utilization of ... -
A Distributed Deep Learning System for Web Attack Detection on Edge Devices
( IEEE Computer Society , 2020 , Article)With the development of Internet of Things (IoT) and cloud technologies, numerous IoT devices and sensors transmit huge amounts of data to cloud data centers for further processing. While providing us considerable convenience, ... -
An adaptive cache management approach in ICN with pre-filter queues
( Elsevier B.V. , 2020 , Article)In Information-Centric Networking (ICN), transmission does not depend on the ends of communication, but on the content itself. In-network cache plays an important role in ICN, it empowers nodes in ICN better mobility. It ... -
Identifying the vulnerabilities of bitcoin anonymous mechanism based on address clustering
( Science in China Press , 2020 , Article)The anonymity mechanism of bitcoin is favored by the society, which promotes its usage and development. An adversary should not be able to discover the relation between bitcoin addresses and bitcoin users to ensure effective ... -
PPLS: a privacy-preserving location-sharing scheme in mobile online social networks
( Science in China Press , 2020 , Article)The recent proliferation of mobile devices has given rise to mobile online social networks (mOSNs), an emerging network paradigm that uses social networks as its main design element. As one of the most critical components ...
