Theses
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Master and PhD theses are listed below for students within CENPARMI.
We encourage students to upload electronic copies of theses to Spectrum, to prompt your work and CENPARMI achievements.
2020 - 2029
- Farnaz Haghshenas, Comparative Analysis of Vision Transformers and CNNs in Melanoma Classification, Masters Thesis, Computer Science Department, Concordia University, Montreal, November 2024.
- Mahsa Vahed, Coin Detection and Classification using a Few-Shot Learning method based on Siamese Network, Masters Thesis, Computer Science Department, Concordia University, Montreal, August 2024.
- Zahra Ebrahimi Vargoorani, License Plate Detection and Character Recognition using Deep Learning and Font Evaluation, Masters Thesis, Computer Science Department, Concordia University, Montreal, August 2024.
- Maedeh Safar, Integrating Handwriting Analysis and Machine Learning for Enhanced Personality Trait Prediction, Masters Thesis, Computer Science Department, Concordia University, Montreal, May 2024.
- Kiana Nezami, Comprehensive Facial Attractiveness Analysis with Stacked Regression and Geometric Angles, Masters Thesis, Computer Science Department, Concordia University, Montreal, January 2024.
- Seyedeh Zahra Khamesi, Deep Learning For The Classification of Lung Diseases Using Chest X-Rays, Masters Thesis, Computer Science Department, Concordia University, Montreal, November 2023.
- Iman Bavand Savadkohi, An Autoencoding Method for Detecting Counterfeit Coins, Masters Thesis, Computer Science Department, Concordia University, Montreal, September 2022.
- Sekeres, John, Methodologies for the Management, Normalization and Identification of Sexual Predation of Minors in Cyber Chat Logs, Masters Thesis, Computer Science Department, Concordia University, Montreal, August 2022.
- Vitaliy Tayanov, Nonlinear Classifier Stacking on Riemannian and Grassmann Manifolds with Application to Video Analysis, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, August 2022.
- Mohammad Amin Shamshiri, Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data, Masters Thesis, Computer Science Department, Concordia University, Montreal, July 2022.
- Mrouj Almuhajri, Shop Signboards Detection and Classification Framework (SSDCF) based on AI approach and Typeface Analysis, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, July 2022.
- Najla AL-Qawasmeh, Novel Feature Extraction Methods to Automatically Detect Gender and Age From Handwritten Documents, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, July 2022.
- Yunqi Xu, Recognition of Graphological Wartegg Hand-drawings, Masters Thesis, Computer Science Department, Concordia University, Montreal, July 2022.
- Afnan Garoot, Handwriting Analysis and Personality: A Computerized Study on the Validity of Graphology, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, October 2021.
- Elham Vahdati, Facial Beauty Analysis based on Computer Vision and Deep Learning Techniques, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, August 2021.
- Marzieh Adeli Shamsabad, Automatic Handwriting Analysis for Classifying Multi-Label Personality Traits using Transformer OCR, Masters Thesis, Computer Science Department, Concordia University, Montreal, June 2021.
- Lili Liu, Computerization of the Wartegg Test in Handwriting Analysis, Masters Thesis, Computer Science Department, Concordia University, Montreal, December 2020.
- Niloofar Baghdadi, License Plate Detection Using One-stage Object Detection Algorithms, Masters Thesis, Computer Science Department, Concordia University, Montreal, November 2020.
- Zhitong Huang, Identity-Preserved Face Beauty Transformation with Conditional Generative Adversarial Networks, Masters Thesis, Computer Science Department, Concordia University, Montreal, August 2020.
- Saeed Khazaee, Detection of counterfeit coins based on 3D Height-Map Image Analysis, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, August 2020.
- Seyedeh Maryam Sharifi Rad, PrFA: a framework for image-based counterfeit coin detection using Pruned Fuzzy Associative Classifier, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, August 2020.
2010 - 2019
- Zahra Taleb, Detection and Recognition of License Plates by Convolutional Neural Networks, Masters Thesis, Computer Science Department, Concordia University, Montreal, October 2019.
- Tamarafinide Victory Dittimi, Banknote Authentication and Medical Image Diagnosis Using Feature Descriptors and Deep Learning Methods, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, May 2019.
- Rabiah Al-Qudah, License Plate Detection using Deep Learning and Font Evaluation, Masters Thesis, Computer Science Department, Concordia University, Montreal, January 2019.
- Dan Liu, Identifying Cyber Predators by Using Sentiment Analysis and Recurrent Neural Networks, Masters Thesis, Computer Science Department, Concordia University, Montreal, April 2018.
- Jehan Janbi, Classifying Arabic Fonts Based on Design Characteristics: PANOSE-A, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, July 2016.
- Muna Al-Khayat, Learning-Based Arabic Word Spotting Using a Hierarchical Classifier, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, Jun 2014.
- Mrouj Almuhajri, Arabic E-Reading: Studies on Legibility and Readability for Personal Digital Assistants, Masters Thesis, Computer Science Department, Concordia University, Montreal, December 2013.
- Chun Lei He, Error Analysis of a Hybrid Multiple Classifier System for Recognizing Unconstrained Handwritten Numerals, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, September 2010.
- Sara Izadi Nia, Incorporation of Relational Information in Feature Representation for Online Handwriting Recognition of Arabic Characters, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, April 2010.
- Malik Waqas Sagheer, Novel Word Recognition and Word Spotting Systems for Offline Urdu Handwriting, Master's Thesis, Computer Science Department, Concordia University, Montreal, February 2010.
- Puntis Jifroodian-Haghighi, A Discrete HMM for Recognition of Handwritten Frasi Words, Master's Thesis, Computer Science Department, Concordia University, Montreal, January 2010.
2000 - 2009
- Ning Wang, Noise Tolerant Oriental and English Document Language Identification Methods using Downgraded Pixel Density Feature, Master's Thesis, Computer Science Department, Concordia University, Montreal, December 2009.
- Ying Li, Typeface Personality Traits and Their Design Characteristics, Master's Thesis, Computer Science Department, Concordia University, Montreal, November2009.
- Khoa Luu, A Computer Approach for Face Aging Problems, Master's Thesis, Computer Science Department, Concordia University, Montreal, September 2009.
- Huda Alamri, Recognition of Off-line Arabic Handwritten Dates and Numeral Strings, Master's Thesis, Computer Science Department, Concordia University, Montreal, July 2009.
- Muhammad Ismail Shah, A Novel Image Matching Approach for Word Spotting, Master's Thesis, Computer Science Department, Concordia University, Montreal, April 2009.
- Wumo Pan, Pattern Detection And Recognition Using Over-Complete And Sparse Representations, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, March 2009.
- Wu Ding, Courtesy Amount Recognition using a Feedback-Based Segmentation Algorithm, Master's Thesis, Computer Science Department, Concordia University, Montreal, September 2008.
- Joanna Rokita, Multimodal Biometric System Based on Face and Hand Images Taken by a Cell Phone, Master's Thesis, Computer Science Department, Concordia University, Montreal, April 2008.
- Farshid Solimanpour, Farshi Handwritten Databases and Offline Isolated Handwritten Digits Recognition, Master's Thesis, Computer Science Department, Concordia University, Montreal, April 2007.
- Javad Sadri, Automatic Segmentation and Recognition of Unconstrained Handwritten Numeral Strings, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, April 2007.
- Yan Zhang, The Effect of Font Design Characteristics on Font Legibility, Master's Thesis, Computer Science Department, Concordia University, Montreal, September 2006.
- Ping Zhang, Reliable Recognition of Handwritten Digits Using a Cascade Ensemble Classifier System and Hybrid Features, Doctoral Thesis, Computer Science Department, Concordia University, Montreal, April 2006.
- Nancy Zaramian, Handwritten Digit Classification Using Cascading Neural Network Ensembles, Master's Thesis, Computer Science Department, Concordia University, Montreal, April 2006.
- Chun Lei He, Error Analysis of a Hybrid Multiple Classifier System for Recognizing Unconstrained Handwritten Numerals, Master's Thesis, Computer Science Department, Concordia University, Montreal, September 2005.
- Sapargali Kambar, Generating Synthetic Data by Morphing Transformation for Handwritten Numeral Recognition (With ν-SVM), Master's Thesis, Computer Science Department, Concordia University, Montreal, August 2005.
- Nedjem Eddine Ayat, Automatic Model Selection for Support Vectors Machines: Application to the Recognition of Images of Handwritten Digits, Doctoral thesis, Computer Science Department, L’École de Technologie Supérieure, Montreal, January 2004.
- Karim Abou-Moustafa, A Generative-Desciminative Framework for Time Series Data Classification, Master's Thesis, Computer Science Department, Concordia University, Montreal, December 2003.
- Jianxing Dong, Speed and Accuracy: Large-Scale Machine Learning Algorithms and Their Applications, Doctoral thesis, Computer Science Department, Concordia University, Montreal, October 2003.
- Andrea Barretto de Souza, Automatic Filter Selection Using Image Quality Assessment, Master's Thesis, Computer Science Department, Concordia University, Montreal, July 2003.
- Qizhi Xu, Automatic Segmentation and Recognition System for Handwritten Dates on Cheques, Doctoral thesis, Computer Science Department, Concordia University, Montreal, November 27, 2002.
More research
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