Computer Science & Engineering: المرسلات الحديثة
السجلات المعروضة 801 -- 820 من 2402
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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 ... -
Hybrid intelligent system for disease diagnosis based on artificial neural networks, fuzzy logic, and genetic algorithms
(2011 , Conference Paper)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 ... -
Flexible advance reservation models for virtual network scheduling
( IEEE Computer Society , 2015 , Conference Paper)Advance reservation services allows users to pre-reserve network resources at future instants in time. These offerings are already being used by a wide range of applications in scientific/grid computing, datacenter backup, ... -
Machine Learning-based Regression and Classification Models for Oil Assessment of Power Transformers
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Expensive and widely used power and distribution transformers need to be monitored to ensure the reliability of the power grid. Evaluating the transformer oil different parameters is vital to determine the transformer ... -
Interest-determining web browser
(2010 , Conference Paper)This paper investigates the application of data-mining techniques on a user's browsing history for the purpose of determining the user's interests. More specifically, a system is outlined that attempts to determine certain ... -
Feature selection for effective health index diagnoses of power transformers
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)This letter investigates an approach based on feature selection and classification techniques to reduce assessment complexities of power transformers. This approach decreases the number of features by extracting the most ... -
Methodical evaluation of Arabic word embeddings
( Association for Computational Linguistics (ACL) , 2017 , Conference Paper)Many unsupervised learning techniques have been proposed to obtain meaningful representations of words from text. In this study, we evaluate these various techniques when used to generate Arabic word embeddings. We first ... -
Model-based risk assessment for cyber physical systems security
( Elsevier , 2020 , Article)Traditional techniques for Cyber-Physical Systems (CPS) security design either treat the cyber and physical systems independently, or do not address the specific vulnerabilities of real time embedded controllers and networks ... -
MINTED: Multicast virtual network embedding in cloud data centers with delay constraints
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)Network virtualization is regarded as the pillar of cloud computing, enabling the multi-tenancy concept where multiple Virtual Networks (VNs) can cohabit the same substrate network. With network virtualization, the problem ... -
MARL: Multimodal Attentional Representation Learning for Disease Prediction
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)Existing learning models often utilise CT-scan images to predict lung diseases. These models are posed by high uncertainties that affect lung segmentation and visual feature learning. We introduce MARL, a novel Multimodal ... -
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 ... -
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 ... -
Deep learning models for sentiment analysis in arabic
( Association for Computational Linguistics (ACL) , 2015 , Conference Paper)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. ... -
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 ...
