College of Engineering: Recent submissions
Now showing items 2681-2700 of 8384
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Multi-stage intra-patient template matching for prostate detection in MR volumes
(2013 , Conference Paper)Detecting objects, a significant task in computer vision, is accompanied with many challenges. When we focus on medical images, the challenges of detecting an organ or a tumour exhibit their own specific difficulties. ... -
Progressive recovery for cloud-based infrastructure services
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Cloud-based services allow users to outsource their application and infrastructure needs over external datacenter/ networking facilities. However, as these offerings gain traction, there is a pressing need to address ... -
Progressive recovery of virtual infrastructure services in optical cloud networks after large disasters
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This paper studies progressive recovery in optical cloud substrates supporting virtualized infrastructure services. Several resource placement/scheduling schemes are presented to improve post-fault recovery and also evaluated ... -
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 ... -
Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections
( Elsevier , 2022 , Article)Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ... -
Finding Behavioural and Imaging Biomarkers of Major Depressive Disorder (MDD) using Artificial Intelligence: A Review
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)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 Paper)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 ... -
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 ...
