Comparative Study on Arabic Text Classification: Challenges and Opportunities حسب Abualigah, Laith

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LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

Improved Machine Learning for Multiclass Fault Classification in Industrial Processes حسب Khaled Dhibi (16891524)

"…Traditional machine learning models often struggle in such settings. …"

FPGA-Based Network Traffic Classification Using Machine Learning حسب Elnawawy, Mohammed

"…Classification approaches based on machine learning techniques have shown promising results with high levels of accuracy. …"
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FPGA-Based Network Traffic Classification Using Machine Learning حسب Elnawawy, Mohammed

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Machine learning approach for the classification of corn seed using hybrid features حسب Aqib Ali (19680145)

"…A comparative analysis of four ML classifiers, the MLP performed outstanding classification accuracy (98.93%), on ROIs size (150 × 150). …"

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

"…<p dir="ltr">Rotating machines require bearings to operate smoothly. However, wear, misalignment, and poor lubrication can degrade bearings over time. …"

Benchmark on a large cohort for sleep-wake classification with machine learning techniques حسب Joao Palotti (8479842)

Using machine learning for disease detection. (c2013) حسب Jreij, Georges Antoun

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A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection حسب Eyüp Halit Yilmaz (21400700)

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

The automation of the development of classification models and improvement of model quality using feature engineering techniques حسب Sjoerd Boeschoten (17347045)

"…<p>Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. …"

LimitAccess: on-device TinyML based robust speech recognition and age classification حسب Marina Maayah (17707242)

Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems حسب Mahmood, Lubna Syeda

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Unified mRNA Subcellular Localization Predictor based on machine learning techniques حسب Saleh Musleh (15279190)

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models حسب Meena Malik (17542089)

Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification حسب Lulwa Ahmed (16869936)

"…Promising results are obtained on both applications resulting in comparable results against the best-case scenario where each sample is manually analyzed and annotated (Baseline 1), and improvement of 3.1% and 4% with best methods respectively over the training sets with irrelevant images on natural disaster and waste classification datasets (Baseline 2).…"

Classification and segmentation of kidney MRI images for chronic kidney disease detection حسب Md. Sakib Bin Islam (20494559)

Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

"…In this context, we first propose in this thesis a model providing Intelligent Behavior- Aware Adaptation of Roles using Machine Learning Classification. The proposed scheme is capable of assessing the deployed access control polices and updating them systematically with new roles based on employees behaviors and system constraints. …"
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Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach حسب Zubair Saeed (19325647)

"…DL techniques have become more and more popular in current research on brain tumor detection. Unlike traditional machine learning methods requiring manual feature extraction, DL models are adept at handling complex data like MRIs and excel in classification tasks, making them well-suited for medical image analysis applications. …"