Browsing by Subject "Pattern recognition systems."

Now showing items 1-9 of 9

A study on liquid state machine for pattern recognition -

Al Zoubi, Obada Mohammad Yasser, (2016)

Spiking Neural Networks (SNNs) are a new promising approach for machine learning because they increase the ratio of biological realism, and thus the ability to capture complex data patterns. SNNs belong to the third ...
Automated detection and measurement of corneal haze using optical coherence tomography images -

Chokr, Manal Mouin, (2017)

The cornea typically constitutes two-thirds of the eye’s optical power; a healthy one has a dome shape. However, a vision disorder so-called Keratoconus, which is especially prevalent in the Middle East and Gulf area, may ...
Defining stochastic inference to improve pattern recognition - by George Emil Sakr.

Sakr, George Emil. (2011)

Stochastic inference is defined by A. P. Dawid as an accuracy measure over the decision of a learning algorithm. The typical accuracy measures used for pattern recognition are confidence and credibility. These measures are ...
A map reduce seismic texture analysis and barricaded boundary minority LS-SVM framework for marine seismic exploration data -

Partamian, Hmayag Kevork, (2014)

Oil and gas exploration involves different complex and costly procedures. Specially designed vehicles (trucks or ships) send sound waves and collect their reflections using a set of predesigned geometrically distributed ...
MATLAB interactive pattern analysis and classification system with application to handwritten OCR - by Jalal Ahmad Ali

Al Ahmad, Jalal (1995)

Pattern Recognition is not a new subject. Its principles and methodologies have for many years influenced the course of technological development in almost every knowledge-based field. No single model exists for all pattern ...
MinSVM for imbalanced datasets with a case study on Arabic comics classification -

Nayal, Ammar, (2015)

Class imbalance occurs when the different classification categories, or samples, are not equally represented in the training dataset. Class imbalance is frequent in many real life applications and particularly in Arabic ...
Robust learning based 3D model registration and comparison -

Nassar, Huda M., (2013)

Nowadays and with the emerging technologies of 3D sensors-scanners and 3D printers, the problem of 3D model registration and comparison becomes a hot topic in the research community. 3D model registration is a challenging ...
Semantic activity recognition using mobile phone sensors -

El-Hayek, Cynthia Joseph, (2015)

Recommender systems use contextual and non-contextual information about the user in order to make good and appropriate recommendations. User's emotion is one of the factors that play an important role in these recommendations ...
Towards a 3D-printed IoT electronic nose for multipurpose aromatic discrimination : an open source, low cost, and portable solution tested on wine.

Khattab, Ahmad Faraj (2019)

The sense of smell or olfaction is a primary human sensory system and perhaps the most evocative of the five senses eliciting strong emotional and cognitive responses of both attraction and repulsion. The human olfactory ...

Now showing items 1-9 of 9

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Browsing by Subject "Pattern recognition systems."

Browsing by Subject "Pattern recognition systems."

Search AUB ScholarWorks

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All of AUB ScholarWorks

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Copyright Statement