Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review by Arfan Ahmed (17541309)

“…Two reviewers independently performed study selection and data extraction, and disagreements were resolved by consensus. …”

Curriculum Appropriation: Bridging ESL Learners’ Needs, Attitudes and Innovations in the Field by Irum Naz (17948078)

“…</p><p dir="ltr">The analyses of the rich data indicated a limited uptake of monomodal teaching text by these learners and highlighted complex yet positive relationships between multimodal texts, learning needs, attitudes, language acquisition and performance, and other contextual factors. …”

Automated skills assessment in open surgery: A scoping review by Hawa Hamza (17707224)

“…Further developments in data acquisition and processing methods are essential to facilitate clinical implementation of such technologies.…”

Efficient Detection of Hepatic Steatosis in Ultrasound Images Using Convolutional Neural Networks: A Comparative Study by Fahad M. Alshagathrh (19365478)

“…<h3>Introduction</h3><p dir="ltr">Artificial Intelligence (AI) is widely used in medical studies to interpret imaging data and improve the efficiency of healthcare professionals. …”

MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography by Mohammed Yaqoob (344668)

“…<p dir="ltr">Morphological characterization of microcrystalline rock textures typically relies upon the visual interpretation and manual measurement of scanning electron microscopy (SEM) imagery: a practice fraught with subjectivity, inefficiency, sampling bias, and data loss. We introduce a state-of-the-art computer vision pipeline, built on deep learning architectures, for segmenting and classifying individual microcrystals from SEM images. …”

Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems by Tarek Berghout (16905132)

“…<p dir="ltr">Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. …”

Sense-making and middle leaders: Analyzing perceptions of role in the development of teacher leadership by Reem Khalid Abu-Shawish (17128825)

BTM: Boundary Trimming Module for Temporal Action Detection by Maher Hamdi (6207746)

Extreme Early Image Recognition Using Event-Based Vision by Abubakar Abubakar (18278998)

“…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …”

DWSD: Dense Waste Segmentation Dataset by Asfak Ali (20690117)

EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach by Muhammad Adeel Asghar (6724982)

“…The BoDF model achieves 93.8% accuracy in the SEED data set and 77.4% accuracy in the DEAP data set, which is more accurate compared to other state-of-the-art methods of human emotion recognition.…”

DWSD: Dense waste segmentation dataset by Asfak Ali (20690117)

Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images by Ahila A (18394806)

“…Over the decade, numerous artificial neural network (ANN)-based techniques were adopted in order to diagnose and classify breast cancer due to the unique characteristics of learning key features from complex data via a training process. …”

Optimizing energy efficiency through precise occupancy detection: A tailored CNN architecture for smart buildings and beyond by Aya Nabil Sayed (17317006)

“…This transformation captures spatial and temporal characteristics of the data, allowing the network to learn more expressive occupancy-related patterns from raw 1D input. …”

Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier by Syed Ali Jafar Zaidi (19563178)

“…<div><p>Machine learning (ML)-based prediction is considered an important technique for improving decision making during the planning process. …”

Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review by Daksh Dave (17949239)

Single and multiphase flow leak detection in onshore/offshore pipelines and subsurface sequestration sites: An overview by Mohammad Azizur Rahman (4803336)

“…Furthermore, a new set of recommendations is provided in the last section which shows how experimental, mechanistic, and CFD simulation data can be used to drive a statistical approach based on modern <u>deep learning</u> and digital twin techniques. …”

MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss by Najmath Ottakath (17430912)

AI in drug discovery and its clinical relevance by Rizwan Qureshi (15279193)

“…Over the past decade, a vast growth in medical information has coincided with advances in computational hardware (cloud computing, GPUs, and TPUs) and the rise of deep learning. Medical data generated from large molecular screening profiles, personal health or pathology records, and public health organizations could benefit from analysis by Artificial Intelligence (AI) approaches to speed up and prevent failures in the drug discovery pipeline. …”

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