Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review by Rehaan Hussain (22302742)

Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect by Habeeb, Abdallah

“…For a future step, in order to build on or use for the classification of Arabic dialects, the experimental results show that the proposed model gives height accuracy up to 99% by applying to the Jordanian dialect, and a 82% by applying to the Algerian dialect.…”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

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

“…Initially applied to low-Mg calcite carbonate rocks, instance segmentation is achieved using a custom-tuned version of Meta’s Segment Anything Model (SAM). …”

Improving the Classification of Multiple Disorders with Problem Decomposition by Abdel-Aal, Radwan E.

“…We demonstrate the advantages of this approach using abductive network classifiers on the 6-class standard dermatology dataset. …”
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Automatic White Blood Cell Differential Classification by Al-Muhairy, Juma A. Bin Darwish

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Bioinformatics classification of mutations in patients with Mucopolysaccharidosis IIIA by Himani Tanwar (14151393)

The Detection of Dysarthria Severity Levels Using AI Models: A Review by Afnan Al-Ali (16888695)

Analysing Pneumonia Disease Depending on X-Ray Images of Chest Using Deep Learning by Khamees, Ahmed

“…In this paper, the author aims to review and enhance Image recognition and classification using ML methodologies. The data input of X-ray images taken for medical proposes, used to gain better outcomes through advanced analysis of the training data, this includes specifying the average amount of data needed for training to make a good enough predictions using deep learning (DL) in order to save costs. …”
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Measurement of Construction Materials Properties Using Wi-Fi and Convolutional Neural Networks by Gacem, Mohamed A.

“…Then, the resulting data are divided into training and validation sets and used to train Convolutional Neural Networks (CNNs). …”
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A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance by Krishnamoorthy Natarajan (22047464)

Physical and chemical properties of black carbon and organic matter from different combustion and photochemical sources using aerodynamic aerosol classification by Dawei Hu (2186113)

Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working Conditions by Durjay Saha (21633095)

“…This proposed fault diagnosis model adapts to different work environments and enhances fault classification at variable working conditions. The performance of the proposed model is evaluated using various metrics such as confusion matrix heatmap, t-SNE plot, precision-recall curve and learning curve. …”

A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48 by Al-Manaseer, Hitham

“…The performance of the algorithms for accuracy was evaluated using the Healthcare (heart attack possibility) dataset, freely available on kagle. …”
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A Bayesian Approach to Feature Selection in Classification Problems by Emarly, Maher

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Drone/Bird Classification Based on Features of Tracks Trajectories by Kengeskanov, Maksat

“…This paper presents the outcome of several machine learning techniques used for the task of bird/drone classification based on their tracks. …”
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Intelligent classification model for holy Quran recitation Maqams by Rababaah, Aaron

“…We are proposing a process model for intelligent classification of Quran maqams using a comparative study of neural networks, deep learning and clustering techniques. …”
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Intelligent Classification Model for Holy Quran Recitation Maqams by Rababaah, Aaron

“…We are proposing a process model for intelligent classification of Quran maqams using a comparative study of neural networks, deep learning and clustering techniques. …”
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Intelligent classification model for holy Quran recitation Maqams by Rababaah, Aaron

“…We are proposing a process model for intelligent classification of Quran maqams using a comparative study of neural networks, deep learning and clustering techniques. …”
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Robust Training of Social Media Image Classification Models by Firoj Alam (14158866)

“…As the volume and velocity of such content are typically high, real-time image classification has become an urgent need for faster disaster response. …”