A meta-analysis to explore the role of design thinking in enhancing creativity as learning outcomes in STEM education by Sumaiya Muneer (22827419)

Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis by Uzair Shah (15740699)

“…Meta-analysis confirms significant advantages for foundation models in instance-based metrics (Cohen’s d =− 6 . 44 ), while only 26% of experiments validate across multiple datasets. …”

A Comprehensive Review on Conventional and Machine Learning-Assisted Design of 5G Microstrip Patch Antenna by Nupur Chhaule (21224987)

“…<p dir="ltr">A significant advancement in wireless communication has occurred over the past couple of decades. …”

Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements by Mubarak A. Bidmos (14158851)

“…Here, we have used the top performing three ML classifiers as base learners and the predictions of these models were used as inputs to different machine learning classifiers as meta learners to make the final decision. …”

Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

“…Deep learning is a type of machine learning method inspired by the structure of the human brain and based on artificial neural network concepts. …”

Dietary Trichosporon mycotoxinivoron modulates ochratoxin-A induced altered performance, hepatic and renal antioxidant capacity and tissue injury in broiler chickens by Sheraz Ahmed Bhatti (9759633)

“…Dietary OTA at all the tested levels induced the hepatic and renal tissue injury as indicated by significant decreased total antioxidant capacity in these organs along with significant decreased (p ≤ 0.05) serum concentrations of total proteins and albumin. …”

Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms by Md Ferdous Wahid (13485799)

“…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …”

Does faculty development influence the quality of in-training evaluation reports in pharmacy? by Kerry Wilbur (14153160)

“…<p dir="ltr">In-training evaluation reports (ITERs) of student workplace-based learning are completed by clinical supervisors across various health disciplines. …”

A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

“…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. …”

The Effectiveness of Teaching Reading (Meta) Cognitive Strategies in Improving UAE Grade-12 Students’ Reading Comprehension Proficiency for School-based Tests and University Admiss... by Rihan, Mohammed Mahmoud

“…The results of the study have indicated a statistically significant effect of strategy-based instruction in improving the learners’ reading comprehension performance, and confirmed a significant correlation between language proficiency and learning the reading strategies. …”
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

“…<p dir="ltr">The integration of unmanned aerial vehicles (UAVs) in the Industrial Internet of Things (IIoT) for smart city applications has been gaining significant attention. UAV swarms are increasingly employed to monitor ground-based IIoT devices in smart cities, offering valuable support to situation-awareness IoT applications, such as surveillance, traffic management, and emergency response. …”

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

“…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. …”

Computer vision syndrome among students during remote learning periods: harnessing digital solutions for clear vision by Muna Abed Alah (14779534)

“…Mother’s employment, having positive history of visual disturbances, and excess screen time were found to be significant predictors of CVS.</p><h3>Conclusion</h3><p dir="ltr">Health care providers in collaboration with teachers should provide parents with evidence-based strategies to prevent or minimize the digital eye strain among students. …”

Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM by Tadesse G. Wakjira (14779165)

“…The predicted flexural and load capacities of the beams based on the existing analytical models are highly scattered and either over-conservative or unsafe. …”

Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings by Siyam, Nur

“…The proposed work presents four significant contributions, namely identifying the key design principles to inform the design of a coordination mobile app for special education, developing and implementing the IEP-Connect mobile app, modelling the selection of a motivator as a Markov Decision Process (MDP), and proposing a Reinforcement Learning (RL) framework to recommend a motivator to be used with students with SEND in a given learning setting. …”
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An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study by Ayman Hassan (14426412)

“…We aimed to develop an app using a comprehensive geomapping navigation and estimation system based on machine learning algorithms. This app uses key stroke-related timelines including the last time the patient was known to be well, patient location, treatment options, and imaging availability at different health care facilities.…”

The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities by M. Mazhar Rathore (16896399)

“…The integration of big data analytics and artificial intelligence/machine learning (AI-ML) techniques with digital twinning, further enriches its significance and research potential with new opportunities and unique challenges. …”

Swimming exercise improves short‐ and long‐term memories: Time‐course changes by Mahmoud A. Alomari (14780446)

“…On the other hand, swimming exercise-induced significant enhancement to the learning phase and memory formation after 7 days of training (p < 0.01). …”

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

“…Since the success of AI is to be measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …”

The impact of Alef Platform on students’ performance at Al Asayel School in Abu Dhabi, UAE by Alyammahi, Aisha Hassan

“…To answer the call to attempt to transform education, Asayel School in Abu, Dhabi UAE has implemented the Alef Program. Alef’s digital learning platform is powered by start-of-art technologies that are designed to support learning and to provide education in a way that students can learn based on their needs. …”
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