Browsing Faculty Contributions by Subject "Classification (of information)"
Now showing items 1-20 of 47
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A Deep Learning Model for LoRa Signals Classification Using Cyclostationay Features
( IEEE Computer Society , 2021 , Conference Paper)With the witnessed exponential growth of Internet of Things (IoT) nodes deployment following the emerging applications, multiple variants of technologies have been proposed to handle the IoT requirements. Among the proposed ... -
A novel approach for handedness detection from off-line handwriting using fuzzy conceptual reduction
( Springer International Publishing , 2016 , Article)A challenging area of pattern recognition is the recognition of handwritten texts in different languages and the reduction of a volume of data to the greatest extent while preserving associations (or dependencies) between ... -
A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The Industrial Internet of Things (IIoT) has become very popular in recent years. However, IIoT is still an attractive and vulnerable target for attackers to exploit and experiment with different types of attacks. To ... -
Active Learning with Noisy Labelers for Improving Classification Accuracy of Connected Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Machine learning has emerged as a promising paradigm for enabling connected, automated vehicles to autonomously cruise the streets and react to unexpected situations. Reacting to such situations requires accurate classification ... -
Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
( IEEE , 2013 , Conference Paper)Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ... -
An online signature verification system for forgery and disguise detection
( Springer , 2012 , Conference Paper)Online signatures are acquired using a digital tablet which provides all the trajectory of the signature as well as the variation in pressure with respect to time. Therefore, online signature verification achieves higher ... -
Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets
( Association for Computational Linguistics (ACL) , 2020 , Conference Paper)The widespread usage of Twitter during emergencies has provided a new opportunity and timely resource to crisis responders for various disaster management tasks. Geolocation information of pertinent tweets is crucial for ... -
Automatic handedness detection from off-line handwriting
( IEEE , 2013 , Conference Paper)In forensics, the handedness detection or the classification of writers into left or right-handed helps investigators focusing more on a certain category of suspects. However, only a few studies have been carried out in ... -
Automatic prediction of age, gender, and nationality in offline handwriting
( Hindawi Publishing Corporation , 2014 , Article)The classification of handwriting into different categories, such as age, gender, and nationality, has several applications. In forensics, handwriting classification helps investigators focus on a certain category of ... -
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
( Elsevier B.V. , 2016 , Article)Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ... -
BroDyn'18: Workshop on analysis of broad dynamic topics over social media
( CEUR-WS , 2018 , Conference Paper)Social media streams are flooded with posts related to topics that are broad (i.e., cover several sub-topics) and dynamic (i.e., develop over time) which attract long-standing user interests. Posts about topics like "Brexit" ... -
Calibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals
( IEEE Computer Society , 2012 , Conference Paper)This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by calibrating relevant time features and frequency features in the joint time-frequency domain. The ... -
Cognitive transmission based on data priority classification in WSNs for Smart Grid
(2012 , Conference Paper)Smart Grid integrates digital processing, sensor technology, automatic control and communication to the traditional power grid to achieve more efficient electricity distribution and management. Applying wireless sensor ... -
Color-based Fuzzy Classifier for automated detection of cancerous cells in histopathological analysis
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In usual clinical practice, grading of cancer tissues is often done by an expert histopathologist based on their analysis of micro-level architectural features of the cancerous tissue specimen as well as level of presence ... -
Convolutional neural networks for real-time and wireless damage detection
( Springer New York LLC , 2020 , Conference Paper)Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable ... -
Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. ... -
Deep learning and low rank dictionary model for mHealth data classification
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ... -
Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the last few years. The fact that these drones are highly accessible to public may bring a range of security and technical issues to ... -
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 ... -
Efficiency validation of one dimensional convolutional neural networks for structural damage detection using a SHM benchmark data
( International Institute of Acoustics and Vibration, IIAV , 2018 , Conference Paper)In this paper, a novel one dimensional convolution neural network (1D-CNN) based structural damage assessment technique is validated with a benchmark study published by IASC-ASCE Structural Health Monitoring Task Group in ...