Explainable Supervised and Semi-Supervised Learning for Breast Cancer Risk Prediction from Questionnaires: A Study on BCSC and UAE Datasets حسب Alsarookh, Omar Ahmad

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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk حسب Mohamed Chaouch (17983846)

الموضوعات:

Semi-supervised Clustering of Facial Expressions حسب Jalal, Ahsan

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Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification حسب Ibrar Amin (19438018)

"…The proposed model is trained in a semi-supervised manner and requires less training data than conventional deep learning models. …"

The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis حسب Ghada Al-Hussain (18295426)

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

R²S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild حسب Muhammad Atif Butt (10849980)

"…Out of these 100K privacy respecting images, 14,000 images have fine pixel-labeling of road regions, with 86,000 unlabeled images that can be leveraged through semi-supervised learning methods. Alongside, we present an Efficient Data Sampling based self-training framework to improve learning by leveraging unlabeled data. …"

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

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

"…An intrusion detection system (IDS) is the most promising solution for preventing malicious intrusions and tracing suspicious network behavioral patterns. Machine learning (ML) methods are widely used in IDS. Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …"

Investigating the perceptions of undergraduate nursing students of their clinical learning experience and readiness for clinical practice in the UAE context. حسب MAALOUF, IMAD

"…A supportive clinical practice environment is crucial to improve nursing students’ engagement in clinical practice and enhance both their clinical skills and satisfaction with their learning experiences. The purpose of this study is to investigate undergraduate nursing student’s perceptions of their clinical learning experience, effective teaching methods, and their readiness for clinical practice. …"
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The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

Machine learning in crime prediction حسب Karabo Jenga (17788496)

"…We focus primarily on 68 selected machine learning papers that predict crime. We formulate eight research questions and observe that the majority of the papers used a supervised machine learning approach, assuming that there is prior labeled data, and however in some cases, there is no labeled data in real-world scenarios. …"

The role of Reinforcement Learning in software testing حسب Amr Abo-eleneen (17032284)

"…<h3>Context</h3><p dir="ltr">Software testing is applied to validate the behavior of the software system and identify flaws and bugs. Different machine learning technique types such as supervised and unsupervised learning were utilized in software testing. …"

Reinforcement Learning-Based School Energy Management System حسب Yassine Chemingui (18891757)

"…First, the agent is trained with the baseline in a supervised learning framework. After cloning the baseline strategy, the agent learns with proximal policy optimization in an actor-critic framework. …"

Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges حسب Muhammad Usama (3629090)

"…<p dir="ltr">While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has focused on supervised learning. …"

Nondestructive evaluation of hybrid concrete properties using image processing and machine learning حسب Vagelis Plevris (14158863)

"…<p>Advancements in informatics, such as image processing (IP) and machine learning (ML), are increasingly being utilized to evaluate the mechanical properties of reinforced concrete structures. …"

An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge حسب Zaulkernan, Imran

"…While the proposed architecture is viable, unbalanced data remain a challenge and the results can potentially be improved by using object detection to reduce imbalances and by exploring semi-supervised learning.…"
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Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment حسب Zakaria Tolba (16904718)

"…The evaluation of testing methods has been conceptualized as a regression task in which neural networks are supervised using a variety of parameters such as variations between input and output, number of iterations, and P-box generation patterns. …"

A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text حسب M. Ghoniem , Rania

"…The previously published research on Arabic ontology learning from text falls into three categories: developing manually hand-crafted rules, using ordinary supervised/unsupervised machine learning algorithms, or a hybrid of these two approaches. …"
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Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis حسب Uzair Shah (15740699)

"…<p dir="ltr">This systematic review and meta-analysis comprehensively analyzes deep learning approaches for brain electron microscopy (EM) segmentation, addressing the critical challenge of extracting neuroanatomical information at nanometer resolution. …"