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Skip to Search Results- 49Deep Learning
- 21Machine Learning
- 9Computer Vision
- 8Artificial Intelligence
- 3Convolutional Neural Network
- 3Image Classification
- 2Shahpouri, Saeid
- 1Aghaei, Nikoo
- 1Akbari, Mojtaba
- 1Alla, Hemanth Reddy
- 1Amini, Iman
- 1Atakishiyev, Shahin
- 47Graduate and Postdoctoral Studies (GPS), Faculty of
- 47Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 1Concordia University of Edmonton
- 1Concordia University of Edmonton/Master of Science in Information Technology Project Reports (Concordia University of Edmonton)
- 1Mechanical Engineering, Department of
- 1Mechanical Engineering, Department of/Journal Articles (Mechanical Engineering)
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Fall 2024
Laura Portugal, Cristhian Felix
Accurate forecasting of project duration is crucial during the execution phase as it affects its overall performance, timely decision-making, identification of potential delays, and resource allocation. This research proposes a proof of concept based on artificial intelligence, specifically using...
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A Deep Learning Approach for Forecasting Cost Estimate at Completion (EAC) in Construction Projects
DownloadFall 2024
Inaccurate cost forecasting is a significant issue that can lead to potential budget overruns, cash flow problems, poor stakeholder relationships, and financial losses for construction execution companies. To improve cost forecasting accuracy, this research proposes a deep-learning framework...
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Spring 2022
Data augmentation is a strong tool for enhancing the performance of deep learning models using different techniques to increase both the quantity and diversity of training data. Cutout was previously proposed, in the context of image classification, as a simple regularization technique that...
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Advancing Forest Health Monitoring: Harnessing the Power of Deep Learning Computer Vision for Remote Sensing Applications
DownloadFall 2023
Forests provide immense economic, ecological, and societal values, making forest health monitoring (FHM) a crucial task for guiding conservation and management of these essential ecosystems. Drones have seen increased popularity in this domain due to their ability to collect high-resolution,...
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Fall 2024
Nowadays systems logs are crucial for ensuring the reliability and security of modern computer systems. Effective log anomaly detection is essential for identifying potential threats and maintaining system integrity. Many existing unsupervised methods depend on additional abnormal data for...
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Fall 2022
With the rapid development of smart grids, the detection of anomalies is essential to improve the quality and security protection of the grid. The identification of anomalies not only saves valuable time but also reduces maintenance costs. Due to the increasing deployment of distributed energy...
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Spring 2021
Deep learning has revolutionized many fields that process large amounts of data such as images, video, audio, speech, and text. Anomaly detection, however, is among the areas that still require major advancements. Based on the key traits of deep learning, which are the need for very little hand...
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Application of a deep learning model to determine midpalatal suture maturation stage on CBCT
DownloadFall 2024
Transverse maxillary deficiency is a condition characterized by a reduced transverse dimension of the upper jaw, commonly associated with posterior cross-bite, dental crowding, pharyngeal airway narrowing, and mouth breathing. Accurate staging of the mid-palatal suture (MPS) fusion is crucial for...
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Application of Data Mining Techniques for Fault Diagnosis and Prognosis of High Pressure Fuel Pump Failures in Mining Haul Trucks
DownloadFall 2021
Mining companies are investing in fewer but larger equipment, and downtime associated with larger equipment now represents a higher percentage of operational capacity loss. Thus, it is essential to frequently and accurately monitor the health of this equipment to avoid unscheduled breakdowns and...
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Spring 2022
The rapid increase in global water and energy demand due to industrialization and population growth is a pressing challenge humankind faces today. Recent estimates indicate that due to population growth and reduction of water supplies, 40% of the global population is struggling with water...