A cascaded deep learning framework for simultaneous non-intrusive load and occupancy monitoring using multi-channel aggregated smart meter data by Sakib Mahmud (15302404)

Gestures of Simultaneous Bilingual Children in Natural Interaction: A Conversation Analytic Perspective by Sfaxi, Jalila Abdurrahman

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SWIPT-Enabled Relaying Networks for Next-Generation Wireless Systems: A Review of Achievable Rates and Future Challenges by Zaino, Rami

“…This approach, known as Simultaneous Wireless Information and Power Transfer (SWIPT), has garnered increasing attention from both researchers and industry due to its potential to extend battery life. …”
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Learning Human Activity From Visual Data Using Deep Learning by Taha Alhersh (16888806)

Learning by pinning: Introducing Pinterest in sport management education by Samuel López-Carril (19256578)

“…While the potential of social media in higher education, particularly in creating online or blended teaching-learning spaces, has been acknowledged, certain platforms such as Pinterest remain underexplored. …”

Data Embedding and Extraction in Scrambled Video using Machine Learning by Ahmed, Afaf Eltayeb Mohamedelbagir

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The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

“…The application of multi-task learning (MTL) in cybersecurity is a promising solution, allowing security systems to simultaneously address various tasks and adapt in real-time to emerging threats. …”

Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods by Arash Golabi (21841484)

“…Utilizing the dynamic model of the RO process, a cascade structure with two reinforcement learning (RL) agents, namely the deep deterministic policy gradient (DDPG) and deep Q-Network (DQN), is developed to optimize the operation of the RO plant. …”

Exploring machine learning approaches for biohydrogen production through dark fermentation in wastewater by Ibrahim Shomope (22928773)

“…Machine learning (ML) offers a data-driven approach to predict and enhance hydrogen production efficiency. …”

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

“…A dataset was created by acquiring both keystroke dynamics and EEG signals simultaneously from 10 users. Each user participated in 500 trials at 10 different sessions (days) to replicate real-life signal variability. …”

Sulfur oxidative coupling of methane process development and its modeling via machine learning by Giovanni Scabbia (13751501)

“…The outcomes of the simulated process were used to design a data-driven modeling approach, based on machine learning methods, and to evaluate its interpolation accuracy. …”

Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator by Fatemeh Negar Irani (22302835)

“…Another critical challenge lies in isolating simultaneous and multiple faults and providing compromising FD performance, especially in the face of continued system <u>performance</u> <u>degradation</u>. …”

From time-series to 2D images for building occupancy prediction using deep transfer learning by Aya Nabil Sayed (17317006)

“…<p dir="ltr">Building occupancy information could aid energy preservation while simultaneously maintaining the end-user comfort level. …”

Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework by Tayyabah Hasan (18427887)

“…The framework is basically a merger of a deep learning (DL) agent deployed at the network edge with a quantum memory module (QMM). …”

Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations by Ayman Al-Kababji (16870080)

“…We divide the surveyed studies based on the tissue of interest (hepatic-parenchyma, hepatic-tumors, or hepatic-vessels), highlighting the studies that tackle more than one task simultaneously. Additionally, the machine learning algorithms are classified as either supervised or unsupervised, and they are further partitioned if the amount of work that falls under a certain scheme is significant. …”

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study by Ayman Hassan (14426412)

“…</p><h3>Results</h3><p dir="ltr">In total, 70,623 records were collected in the data set from Ornge and land medical transport services to develop a prediction model. Various learning models were analyzed; all learning models perform better than the simple average of all points in predicting output variables. …”

The Implementation and Management of the Digital Platforms and Online Resources in Online Distance learning Amidst COVID-19 Pandemic - A case study in a School in UAE by Jaber, Rana

“…This research is a case study which aims to explore the implementation and management of digital platforms and online resources to provide accessibility to learning and connectivity to the learning communities in online distance learning amidst COVID-19 pandemic in a school context in UAE. …”
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A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System by Ameema Zainab (16864263)

“…The paper utilizes multi-processing to enhance the overall execution time of the forecasting models by submitting simultaneous jobs to all the processors available. The paper demonstrates the efficacy of the proposed approach through the choice of machine learning (ML) models, execution time, and scalability. …”

Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle by Reza Jafari (3494018)

“…<p dir="ltr">This study presents an innovative solution for simultaneous energy optimization and dynamic yaw control of all-wheel-drive (AWD) electric vehicles (EVs) using deep reinforcement learning (DRL) techniques. …”

Small molecule inhibitors of α-synuclein oligomers identified by targeting early dopamine-mediated motor impairment in C. elegans by Kevin S. Chen (9201767)