What are artificial intelligence literacy and competency? A comprehensive framework to support them حسب Thomas K.F., Chiu

"…We also identify five effective learning experiences to foster abilities and confidences, and suggest five future research directions: prompt engineering, data literacy, algorithmic literacy, self-reflective mindset, and empirical research.…"
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Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas حسب Marwan Dhuheir (19170898)

"…In this context, we formulate the problem as a non-linear programming (NLP) optimization problem aimed at maximizing the total EH IoT devices and determining the optimal trajectory paths for UAVs while adhering to the constraints related to the maximum time duration, the UAVs’ maximum energy consumption, and the minimum data rate to achieve a reliable transmission. Due to the complexity of the problem, the combinatorial nature of the formulated problem, and the difficulty of obtaining the optimal solution using conventional optimization problems, we propose a lightweight meta-RL solution capable of solving the problem by learning the system dynamics. …"

DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor حسب Maen Takruri (10873368)

Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity حسب Maryam Shahriari-kahkeshi (17269051)

Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE حسب Mathew, Elezabeth

"…The industry is yet to fully benefit from these big data by applying Machine Learning (ML) and Artificial Intelligence (AI). …"
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Using genetic algorithms to optimize software quality estimation models حسب Azar, Danielle

"…In the first approach, we assume the existence of several models, and we use a genetic algorithm to combine them, and adapt them to a given data set. …"
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

"…To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …"
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Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review حسب Avneet Kaur (712349)

"…It has been learned that image-processing techniques overwhelm the existing research and have the potential to integrate meteorological data. …"

Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges حسب Sk Injamamul Islam (14111241)

"…Here, we highlighted the potential of machine learning algorithms in early pathogen detection and the possibilities of intelligent aquaculture in controlling disease outbreaks at the farm level. …"

Nested ensemble selection: An effective hybrid feature selection method حسب Kamalov, Firuz

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Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering حسب Saadia Jamil (22045946)

"…Finally, this study proposed a novel multi-view learning framework that analyzes multi-source data and generates fine clusters efficiently.…"

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

"…</p><h3>Methods</h3><p dir="ltr">Using historical data (2008-2020), an accurate prediction model using machine learning methods was developed and incorporated into a mobile app. …"

Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

Can AI Help in Screening Viral and COVID-19 Pneumonia? حسب Muhammad E. H. Chowdhury (14150526)

Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks حسب Bekir Sait Ciftler (17541801)

"…Our simulation results show that the distributed DDPG-based algorithm learns to adapt against changes in the channel or user requirements, while centralized Genetic Algorithm and Particle Swarm Optimization-based algorithms fail to endure against these changes even with coordination between APs. …"

Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems حسب Ahmad K. Sleiti (14778229)

"…Data-driven algorithms with capabilities to predict the system’s dynamic behavior still need to be developed. …"

An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…Results Results show that our approach out-performs the machine learning algorithm C4.5 as well as random guessing. …"
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Education Data Mining to Predict Student Exam Grades in Vocational Institutes حسب Saleh, Ashjan Ahmad

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A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

"…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…Given the complexity of the LDTP solution for managing online requests, we propose a real-time, lightweight solution using multi-agent meta-reinforcement learning. Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. …"