Items where Division is "Concordia Institute for Information Systems Engineering" and Year is 2021
Book Section
Bahreini, Fardin and Hammad, Amin ORCID: https://orcid.org/0000-0002-2507-4976 (2021) Point Cloud Semantic Segmentation of Concrete Surface Defects Using Dynamic Graph CNN. In: Proceedings of the 38th International Symposium on Automation and Robotics in Construction. International Association on Automation and Robotics in Construction, Dubai, United Arab Emirates, pp. 379-386. ISBN 978-952-69524-1-3
Bahreini, Fardin and Hammad, Amin ORCID: https://orcid.org/0000-0002-2507-4976 (2021) Towards an Ontology for BIM-Based Robotic Navigation and Inspection Tasks. In: Proceedings of the 38th International Symposium on Automation and Robotics in Construction. International Association on Automation and Robotics in Construction, Dubai, United Arab Emirates, pp. 1025-1032. ISBN 978-952-69524-1-3
Thesis
Afshar, Parnian (2021) Capsule Network-based Radiomics: From Diagnosis to Treatment. PhD thesis, Concordia University.
Al-Hilo, Ahmed Mahdi Abed (2021) Towards Smart Vehicular Environments via Deep Learning and Emerging Technologies. PhD thesis, Concordia University.
Alam, Syed Eqbal ORCID: https://orcid.org/0000-0003-4398-5877 (2021) Communication-efficient Distributed Multi-resource Allocation. PhD thesis, Concordia University.
Amirkhani, Mahsa (2021) Bayesian Learning Frameworks for Multivariate Beta Mixture Models. Masters thesis, Concordia University.
Bataineh, Ahmed (2021) Toward Monetizing Data for AI-driven Services on Cloud Computing and Blockchain. PhD thesis, Concordia Institute for Information Systems Engineering.
Behnam, Shobiri (2021) CDNs' Dark Side: Identifying Security Problems in CDN-to-Origin Connections. Masters thesis, Concordia University.
Crespo, A. M. F. ORCID: https://orcid.org/0000-0003-3960-0858 (2021) Computational Learning Framework for Carbon Emissions Predictions Incorporating a RReliefF Driven Features Selection and an Iterative Neural Network Architecture Improvement. PhD thesis, Concordia University.
Dib, Mirabelle ORCID: https://orcid.org/0000-0003-3134-1230 (2021) On Leveraging Next-Generation Deep Learning Techniques for IoT Malware Classification, Family Attribution and Lineage Analysis. Masters thesis, Concordia University.
ElSheikh, Muhammad (2021) MILP-aided Cryptanalysis of Some Block Ciphers. PhD thesis, Concordia University.
Elgharabawy, Mounir (2021) Cross-vendor Security Analysis of Android Unix Domain Sockets. Masters thesis, Concordia University.
Elsayed, Hisham Shehata Galal ORCID: https://orcid.org/0000-0001-9904-8386 (2021) Privacy-Preserving Protocols on Blockchain. PhD thesis, Concordia University.
Gamarooni Pour, Seyed Ali (2021) Requirements analysis of aviation standards Applicable to Production Organizations. Masters thesis, Concordia University.
Gao, Jie (2021) Matching mechanisms for two-sided shared mobility systems. PhD thesis, Concordia University.
Gheitasi, Kian ORCID: https://orcid.org/0000-0001-6399-0994 (2021) Security of Constrained Cyber-Physical Systems. PhD thesis, Concordia University.
Guo, Jiaxun (2021) Occupancy Estimation and Activity Recognition in Smart Buildings using Mixture-Based Predictive Distributions. Masters thesis, Concordia University.
Guévremont, Michel ORCID: https://orcid.org/0000-0002-2904-6382 (2021) 4D Simulation of Capital Construction Projects: Levels of Development and Ontology for Delay Claims Applications. PhD thesis, Concordia University.
Haddad, Mark ORCID: https://orcid.org/0000-0003-3064-2381 (2021) An Instance-Based Learning Statistical Framework for One-Shot and Few-Shot Human Action Recognition. Masters thesis, Concordia University.
Hajibabaei, Anahita (2021) Gender-Specific Patterns in the Artificial Intelligence Scientific Ecosystem. Masters thesis, Concordia University.
Hannachi, Samar (2021) Statistical Models for Short Text Clustering. Masters thesis, Concordia University.
Jia, Wenjun (2021) Investigating neurocognition in design creativity under loosely controlled experiments supported by EEG microstate analysis. PhD thesis, Concordia University.
Kabir, Mohammad Ekramul ORCID: https://orcid.org/0000-0003-2044-7187 (2021) Planning and Design for Intelligent and Secure Integration of Electric Vehicles into the Smart Grid. PhD thesis, Concordia University.
Khorasani Ghassab, Vahid ORCID: https://orcid.org/0000-0001-7697-9364 (2021) Multi-frame reconstruction using super-resolution, inpainting, segmentation and codecs. PhD thesis, Concordia University.
Miklin, Alexandra (2021) Environment-based design enabled scenario analysis for aerospace product development. Masters thesis, Concordia University.
Mosallaie, Shahab (2021) Discovering the Evolution and Co-authorship Patterns of Artificial Intelligence in Cancer Research using Machine Learning and Link Prediction. Masters thesis, Concordia University.
Nasr, Tony (2021) Large-Scale Study of Internet-Connected Electric Vehicle Charging Station Management Systems: Discovery, Security Analysis and Mitigation. Masters thesis, Concordia University.
Nipane, Aishwary Pramodrao (2021) Comprehending Inclinations Towards Autonomous Vehicles. Masters thesis, Concordia University.
Pan, Jie (2021) Rule-based Machine Learning Algorithms for Smart Automatic Quadrilateral Mesh Generation System. PhD thesis, Concordia University.
Quan, Jianning (2021) Pose Estimation and Object Detection using Deep Convolutional Networks. Masters thesis, Concordia University.
REBBAH, DHIAA ELHAK (2021) Security Monitoring of Distribution Automation Systems. Masters thesis, Concordia University.
Racherache, Badis (2021) Insider Threat Detection using Profiling and Cyber-persona Identification. Masters thesis, Concordia University.
Rad, Mahdi (2021) Effect of Inventors’ Characteristics on Commercialization Potential of their Inventions: The Case of Nanotechnology in Canada. Masters thesis, Concordia University.
Rjoub, Gaith ORCID: https://orcid.org/0000-0002-7282-0687 (2021) Artificial Intelligence Models for Scheduling Big Data Services on the Cloud. PhD thesis, Concordia University.
Ronaghi, Farnoush (2021) Deep Learning-based Information Fusion Frameworks for Stock Price Movement Prediction. Masters thesis, Concordia University.
Safaie, Tina (2021) BYPASS: RECONSIDERING THE USABILITY OF PASSWORD MANAGERS. Masters thesis, Concordia University.
Sojoudian, Seyed Maziar (2021) On-Demand Programming Recommendation System using Knowledge Graphs. Masters thesis, Concordia University.
Taghavi, Mona (2021) Strategic and Blockchain-based Market Decisions for Cloud Computing. PhD thesis, Concordia University.
Taher, Alhusain Mohamed (2021) Development of Earthwork Ontology and its Application. PhD thesis, Concordia University.
Torabi, Sadegh ORCID: https://orcid.org/0000-0003-2811-3536 (2021) Data-Driven Approaches for Detecting Malware-Infected IoT Devices and Characterizing Their Unsolicited Behaviors by Leveraging Passive Internet Measurements. PhD thesis, Concordia University.
Uddin, Md Shahab (2021) Horus: A Security Assessment Framework for Android Crypto Wallets. Masters thesis, Concordia University.
Vemuri, Ravi Teja (2021) Fully Bayesian Learning with Markov Chain Monte Carlo Methods for Asymmetric Generalized Gaussian Mixture and Hidden Markov Models. Masters thesis, Concordia University.
Wen, Min (2021) Towards Adaptive Federated Semi-Supervised Learning for Visual Recognition. Masters thesis, Concordia University.
Xian, Zixiang (2021) Generative Models Based on the Bounded Asymmetric Gaussian Distribution. Masters thesis, Concordia University.
Yao, Yanxin (2021) An information visualization platform for preprocessing of Electroencephalography (EEG) data from designing and learning. Masters thesis, Concordia University.
Zunair, Hasib (2021) Designing Efficient Deep Learning Models for Computer-Aided Medical Diagnosis. Masters thesis, Concordia University.
alirezaee, ali (2021) SMART GREENHOUSE PLATFORM: AN INFRASTRUCTURE FOR AGRICULTURAL APPLICATION AS CLOUD COMPUTING SERVICE. Masters thesis, Concordia University.
khoddami, shohre (2021) A System Dynamics Approach to Comparative Analysis of Biomass Supply Chain Coordination Strategies. Masters thesis, Concordia University.
su, xuanbo (2021) Fully Bayesian Inference for Finite and Infinite Discrete Exponential Mixture Models. Masters thesis, Concordia University.