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

A Deep Convolutional Neural Network-Based Approach to Detect False Data Injection Attacks on PV-Integrated Distribution Systems حسب Masoud Ahmadzadeh (21633053)

"…The performance of the trained framework has been compared with other supervised Machine Learning-based and deep-learning techniques for FDI attacks against modified IEEE 33- and 141-bus PDSs. …"

Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition حسب Abboud, Ralph

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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. …"

Education in post War-Somalia:Developing an Integrated Thematic Model of History Curriculum for Secondary Schools حسب Issa, Fawzia

"…The UNESCO and the UNICEF played major roles in funding, supervision, and most importantly, providing learning resources and material for students in opened schools. …"
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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. …"

Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique حسب Iqbal Hassan (22155274)

"…The primary objective of this study is to estimate the CL index through an innovative approach that employs a hybrid, cluster-based, unsupervised learning technique seamlessly integrated with a 1D Convolutional Neural Network (CNN) architecture tailored for automated feature extraction, rather than conventional supervised algorithms, which facilitated in the acquisition of latent complex patterns without the need for manual categorization. …"

STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

"…In this paper, a novel speech separation algorithm is proposed that integrates the twin-delayed deep deterministic (TD3) policy gradient reinforcement learning (RL) agent with the expectation maximization (EM) algorithm for clustering the spatial cues of individual sources separated on azimuth. …"

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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Learning Support Assistants’ (LSAs’) Roles, Professional Development Experiences and Training Needs in Private Schools in the Emirate of Dubai حسب BALASUBRAMANIAN, RAJASHREE

"…The study highlights the need for schools and policymakers to define LSAs' roles clearly and provide individualised training programs along with adequate supervision to boost their effectiveness. Recommendations include integrating professional development into school hours, fostering greater collaboration between LSAs and teachers, and further clarifying LSAs' duties to improve their function in inclusive classrooms.…"
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Precision nutrition: A systematic literature review حسب Daniel Kirk (17302798)

"…Precision Nutrition researchers should consider incorporating Machine Learning into their methods to facilitate the integration of many complex features, allowing for the development of high-performance Precision Nutrition approaches.…"

A systematic review of artificial intelligence applications for indoor air quality monitoring in educational settings حسب P.K. Hashir (22921157)

"…The review identifies successful implementations of AI in educational settings, highlighting applications such as supervised and unsupervised learning for pollutant prediction, anomaly detection, and reinforcement learning (RL) for heating, ventilation, and air conditioning (HVAC) optimization. …"

Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices حسب Aya Hasan Alkhereibi (17151070)

"…<p dir="ltr">Smart cities have become an increasingly important response to urbanization challenges, integrating technology to enhance city infrastructure, services, and <u>sustainability</u>. …"

Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort حسب Sergio Márquez-Sánchez (19437985)

"…<p dir="ltr">Nowadays, in contemporary building and energy management systems (BEMSs), the predominant approach involves rule-based methodologies, typically employing supervised or unsupervised learning, to deliver energy-saving recommendations to building occupants. …"

Study of the Impact of Land Use and Land Cover (LULC) Changes on local climate in Six Mega Global Cities in the 21st Century حسب Sabobeh, Lara Ali

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Heuristic approaches for optimizing the performance of rule-based classifiers حسب Harmanani, Haidar

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A Study of the Impact of the Climate and Land-use/Land-cover (LULC) Changes on the UAE Mangrove Forests over the Period 1990-2020 حسب Raihan, Asif

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Evaluation of nursing students' engagement in two different simulation modalities حسب Burcu Dogan (18505001)

"…<h3>Background</h3><p dir="ltr">Simulation-based education has been increasingly integrated into healthcare professional training owing to its proven efficacy in enhancing clinical skills and knowledge within a secure and supervised setting. …"

Self-Distillation for Randomized Neural Networks حسب Minghui Hu (2457952)

"…In this work, we propose a self-distillation pipeline for randomized neural networks: the predictions of the network itself are regarded as the additional target, which are mixed with the weighted original target as a distillation target containing dark knowledge to supervise the training of the model. All the predictions during multi-generation self-distillation process can be integrated by a multi-teacher method. …"