The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

"…In this research, classification algorithms, combined with resampling strategies and dimensionality reduction methods, were investigated to find a prediction model to correctly identify the samples of treated animals. …"

Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques حسب Umesh Kumar Lilhore (17727684)

"…A Boruta analysis method is used. It is improved from of random forest method and mainly discovers feature subsets from the data source that are significant to assigned classification activity. …"

Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization حسب Tawsifur Rahman (14150523)

"…Three different experiments were carried out in this work: segmentation of X-ray images using two different U-net models, classification using X-ray images and that using segmented lung images. …"

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)

"…A machine learning classification pipeline is developed using multi-domain feature extraction (time, frequency, time-frequency), feature selection (Gini impurity), classifier design, and score level fusion. …"

Toward Adaptive Intrusion Detection Systems for UAVs Using Cyber-Physical Image Analysis حسب Hanane Amirat (23126110)

"…The framework transforms tabular sensor data into multichannel image representations using a novel Gramian Angular Field (GAF) method that we developed and named Dual-GAF, enabling high-fidelity feature extraction and contextual data consideration via Convolutional Neural Networks (CNNs). …"

Forecasting the Direction of GCC Stock Indexes Using Support Vector Machine (SVM) Algorithm حسب Zeino, Yaser Abdullah

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A real-time automatic pothole detection system using convolution neural networks حسب Bharat, Ricardo

"…Different techniques, including machine learning, deep learning models, sensor methods, stereo vision, the internet of things (IoT), and black-box cameras, have already been applied to address the problem. …"
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Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review حسب Hazrat Ali (421019)

"…<p><br></p><h3>Background</h3><p dir="ltr">Vision transformer-based methods are advancing the field of medical artificial intelligence and cancer imaging, including lung cancer applications. …"

Predicting Stock Prices in Dubai Financial Market Using Neural Networks and the Polynomial Classifiers حسب Al-Salkhadi, Saeed Mohammed

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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion حسب PKA Chitra (21749216)

"…The empirical results not only affirm the competitive edge of our proposed method over the conventional MLNB but also demonstrate its superiority across the aforementioned metrics. …"

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

Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters حسب Sakib Mahmud (15302404)

"…Effective occupancy classification relies on real-world factors beyond load consumption. …"

A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques حسب SALLOUM, SAID

"…Furthermore, the most commonly used datasets for benchmarking phishing email detection methods is the Nazario phishing corpus. …"
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Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks حسب Ahmed , Abdelrahman

"…The problem is formulated as a binary classification task using deep learning methods. We explore several designs for the classifier based on convolutional neural networks (CNNs), long-short-term memory networks (LSTMs), and an attention layer. …"
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine حسب Debendra Muduli (20748758)

"…For mass fundus image-based glaucoma classification, an improved automated computer-aided diagnosis (CAD) model performing binary classification (glaucoma or healthy), allowing ophthalmologists to detect glaucoma disease correctly in less computational time. …"

TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images حسب Tawsifur Rahman (14150523)

"…Chest X-ray (CXR) is the most popularly used method for TB diagnosis. However, it is difficult to identify TB from CXR images in the early stage, which leads to time-consuming and expensive treatments. …"

A novel methodology for offline English handwritten character recognition using ELBP-based sequential (CNN) حسب Muniba Humayun (21323750)

"…The key idea of this research paper is to recommend a deep learning-based ELBP-CNN method to help recognize English characters. This research paper proposes a deep learning CovNet with feature extraction and novel local binary pattern-based approaches, LBP (AND, OR), that is tested and compared with renowned pre-trained models using transfer learning. …"

Long Term HbA1c Prediction Using Multi-Stage CGM Data Analysis حسب Md Shafiqul Islam (7010348)

"…Thus, in the paper, a novel missing data estimation method has been proposed for a single data point, multiple data points, and entire day CGM data imputation. …"

Virtual pretreatment patient‐specific quality assurance of volumetric modulated arc therapy using deep learning حسب SA Yoganathan (17760132)

"…</p><h3>Methods and materials</h3><p dir="ltr">A novel training method called “dual training,” which involves the training of the encoder and decoder separately, was proposed and evaluated for cycle GAN (cycle‐GAN) and conditional GAN (c‐GAN). …"

Transfer Learning and Sentiment Analysis of Lebanese Dialect Data using a Multilingual Deep Learning Approach حسب Chehade, Mira

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