Items where Division is "Concordia Institute for Information Systems Engineering" and Year is 2023
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Afrasiabi, Seyedeh Negar (2023) Algorithmic Solutions for Virtual Network Function Migration in Cloud. PhD thesis, Concordia University.
Ahmadzadeh, Masoud (2023) Attack detection in PV-integrated power distribution systems using Machine Learning and Deep Learning methods. Masters thesis, Concordia University.
Akbar, Mohammad Kaosain (2023) Non-Intrusive Load Monitoring using Machine and Deep Learning Techniques. Masters thesis, Concordia University.
Al-Bazzaz, Hussein Ghassan Ali (2023) Mixture-Based Clustering and Hidden Markov Models for Energy Management and Human Activity Recognition: Novel Approaches and Explainable Applications. PhD thesis, Concordia University.
Asadujjaman, A S M (2023) Integrity Verification for Virtualized Networks Using Side-Channel. PhD thesis, Concordia University.
B
Bagheri, Sima (2023) A Cost-effective Framework to Proactive and Non-disruptive Attack Mitigation in Kubernetes Clusters. Masters thesis, Concordia University.
Baskaran, Supraja (2023) Measuring the Leakage and Exploitability of Authentication Secrets in Super-apps: The WeChat Case. Masters thesis, Concordia University.
Bayatpour, Amin ORCID: https://orcid.org/0009-0004-4715-9948 (2023) A Machine Learning Approach for Generating a Recursive Object Model from a Natural Language Text. Masters thesis, Concordia University.
Bouarada, Ons (2023) Generative Models Based on the Bounded Asymmetric Student’s t-Distribution. Masters thesis, Concordia University.
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Dridi, Jawher ORCID: https://orcid.org/0000-0001-6062-2897 (2023) Unsupervised Domain Adaptation for Estimating Occupancy and Recognizing Activities in Smart Buildings. Masters thesis, Concordia University.
Duman, Onur ORCID: https://orcid.org/0000-0002-2489-8981 (2023) Measuring and Improving the Security Postures of Smart Grid Substations Against Cyber Attacks. PhD thesis, Concordia University.
E
Eita, Ahmed Yasser (2023) Building Reliable Frameworks for 3D Object Classification Based on Bayesian and Deep Learning Approaches. Masters thesis, Concordia University.
Elbayoumi, Mohammed (2023) Ultra-Dense Networks in 5G and Beyond: Challenges and Promising Solutions. PhD thesis, Concordia University.
Elqortobi, Mounia (2023) Validation and Verification of Safety-Critical Systems in Avionics. PhD thesis, Concordia University.
Ennajari, Hafsa (2023) Embedded spherical probabilistic modeling for topic discovery and text representation learning. PhD thesis, Concordia University.
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Farhat, Abdallah (2023) Evaluation of Citation Graph Thematic Dataset Construction and Paper Filtering Methods for Research Literature Recommendation. Masters thesis, Concordia University.
Ferdjouni, Zineb Meriem (2023) Passive IoT Device-Type Identification Using Few-Shot Learning. Masters thesis, Concordia University.
Forouzanfar, Darya (2023) Unsupervised Learning with Feature Selection Based on Multivariate McDonald’s Beta Mixture Model for Medical Data Analysis. Masters thesis, Concordia University.
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Genger, Kelechukwu (2023) Framework for Multi-Purpose Utility Tunnel Location Selection Considering Social Costs. PhD thesis, Concordia University.
Ghaziamin, Pardis (2023) A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera. Masters thesis, Concordia University.
GholipourChoubeh, Mahmood (2023) Building Cross-Cluster Security Models for Edge-Core Environments Involving Multiple Kubernetes Clusters. Masters thesis, Concordia University.
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Hassan, Md. Tanvir (2023) Graph Neural Networks For 3D Human Pose Estimation. Masters thesis, Concordia University.
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Islam, Zaedul (2023) Graph Representation Learning for 3D Human Pose Estimation. Masters thesis, Concordia University.
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Jamali, Amir (2023) Pavement Defect Classification and Localization Using Hybrid Weakly Supervised and Supervised Deep Learning and GIS. Masters thesis, Concordia University.
jemaa, hela (2023) Orchard Apple Tree Health Assessment using UAV Imagery-Based Computer Vision System. Masters thesis, Concordia University.
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Karimi, Bahar (2023) Autonomous Virtual Cognitive Assessment through Conversational Agents Leveraging Natural Language Processing Techniques. Masters thesis, Concordia University.
Kashefinishabouri, Farnaz (2023) Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-step Battery State of Charge Forecasting. Masters thesis, Concordia University.
Khabbazian, Ali (2023) Supplier Risk Assessment and Selection under Disruption based on DMAIC and AHP Approaches. PhD thesis, Concordia University.
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Le Blanc, Alex (2023) Emulating Android Device Drivers via Replicated Execution Context. Masters thesis, Concordia University.
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Maleki Raee, Vahid (2023) Energy Efficient Application Provisioning in Virtualized Internet of Things. PhD thesis, Concordia University.
Mathin Henry, Kamal Maanicshah (2023) Novel Mixture Allocation Models for Topic Learning. PhD thesis, Concordia University.
Md Wasiuddin Pathan, Shuvo (2023) On Reducing Underutilization of Security Standards by Deriving Actionable Rules: An Application to IoT. Masters thesis, Concordia University.
Mesgaran Ayaghchi, Mahsa (2023) Graph Representation Learning for Classification and Anomaly Detection. PhD thesis, Concordia University.
Mirzaei, Mehrnaz (2023) Automating Fault Detection and Quality Control in PCBs: A Machine Learning Approach to Handle Imbalanced Data. Masters thesis, Concordia University.
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Pagey, Rohan (2023) Security Weaknesses in E-commerce Platforms. Masters thesis, Concordia University.
Paul, Sneha ORCID: https://orcid.org/0000-0001-7731-4196 (2023) An Efficient Neural Network Architecture and Training Protocol for 3D Point Cloud Classification. Masters thesis, Concordia University.
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Rahj, Amine (2023) EFSM-based Test Suite Generation for MC/DC Compliant Systems: Tool Design. Masters thesis, Concordia University.
Rahman, Moshfeka (2023) Applied Artificial Intelligence for Secure and Resilient Smart Grid. PhD thesis, Concordia University.
Roozbeh Nia, Ali (2023) Improving the sustainability of coal SC in both developed and developing countries by incorporating extended exergy accounting and different carbon reduction policies. PhD thesis, Concordia University.
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Salimibeni, Mohammad (2023) BLE-based Indoor Localization and Contact Tracing Approaches. PhD thesis, Concordia University.
Salmani, Mehrnaz (2023) Application of Reinforcement Learning for Condition-based Maintenance of Multi-Unit Systems. Masters thesis, Concordia University.
Salmanzade Yazdi, Sahar (2023) Bayesian Parameter Estimation of Probabilistic Models for Information Retrieval and Clustering in Discrete Data Spaces. Masters thesis, Concordia University.
Sami, Hani (2023) Optimizing Reinforcement Learning: Fog and Edge Resource Management Through Bootstrapping and Reward Shaping. PhD thesis, Concordia University.
Saniee Monfared, Saman (2023) Mitigating Yo-Yo Attacks on Cloud Using Game-Theoretical Modelling and Learning-Based Approach. Masters thesis, Concordia University.
Seyedan, Seyedehmahya ORCID: https://orcid.org/0000-0001-8707-6443 (2023) Development of Predictive Analytics for Demand Forecasting and Inventory Management in Supply Chain using Machine Learning Techniques. PhD thesis, Concordia University.
Sghaier, Oussama (2023) Enhancing Anomaly Detection with Flexible Distribution Models. Masters thesis, Concordia University.
Shi, Fangzhu (2023) A Data-Driven Optimization Model for Medical Resource Allocation during the Pandemic. Masters thesis, Concordia University.
Sunar, Shiva (2023) Verifying Sensor Readings and Event Notifications through Monitoring Co-located IoT Devices. Masters thesis, Concordia University.
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Tejaswi, Bhaskar (2023) Security Weaknesses in IoT Management Platforms. Masters thesis, Concordia University.
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Vazifehkoorabbasloo, Zahra (2023) Applications of Equilibrium Modeling and Game Theory in Biomass Supply Chain Management. PhD thesis, Concordia University.
Vosoughi, Hamid (2023) Leveraging Machine Learning to Investigate the Impact of NSERC Funding Programs on Research Outcomes. Masters thesis, Concordia University.
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Yao, Jia Wei (2023) A 5G Security Recommendation System Based on Multi-Modal Learning and Large Language Models. Masters thesis, Concordia University.
Yu, Xiufen (2023) Privacy Analysis of Technological Solutions Designed for Victims of Intimate Partner Abuse. Masters thesis, Concordia University.