College of Engineering: Recent submissions
Now showing items 3061-3080 of 8755
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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 ... -
Flexible advance reservation models for virtual network scheduling
( IEEE Computer Society , 2015 , Conference)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, ... -
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 ... -
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, ... -
Methodical evaluation of Arabic word embeddings
( Association for Computational Linguistics (ACL) , 2017 , Conference)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)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 ... -
Multi-stage intra-patient template matching for prostate detection in MR volumes
(2013 , Conference)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)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 ... -
Machine Learning-based Regression and Classification Models for Oil Assessment of Power Transformers
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)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 ... -
StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic
( MDPI , 2022 , Article)In this paper, we present StEduCov, an annotated dataset for the analysis of stances toward online education during the COVID-19 pandemic. StEduCov consists of 16,572 tweets gathered over 15 months, from March 2020 to May ... -
Securing Smart Grid Communication using Ethereum Smart Contracts
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Smart grids are being continually adopted as a replacement of the traditional power grid systems to ensure safe, efficient, and cost-effective power distribution. The smart grid is a heterogeneous communication network ... -
Recommender systems using harmonic analysis
( IEEE Computer Society , 2015 , Conference)Recommender systems provide recommendations on variety of personal activities or relevant items of interest. They can play a significant role for E-commerce and in daily personal decisions. However, existing recommender ... -
The 100 most influential persons in history": A data mining perspective
(2011 , Conference)Data mining has been widely applied in various domains; however, there have been limited studies into discovering hidden knowledge from factual data about selected groups of people with special characteristics. It is ... -
Query hidden attributes in social networks
( IEEE Computer Society , 2015 , Conference)Micro blogs and collaborative content sites such as Twitter and Amazon are popular among millions of users who generate huge numbers of tweets, posts, and reviews every day. Despite their popularity, these sites only provide ...
