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A Deep Convolutional Neural Network-Based Approach to Detect False Data Injection Attacks on PV-Integrated Distribution Systems
Published 2024“…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. …”
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Reinforcement Learning-Based School Energy Management System
Published 2020“…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. …”
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Education in post War-Somalia:Developing an Integrated Thematic Model of History Curriculum for Secondary Schools
Published 2019“…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
Published 2025“…<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. …”
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Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique
Published 2024“…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. …”
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STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
Published 2025“…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. …”
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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
Published 2019“…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
Published 2025“…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
Published 2021“…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.…”
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A systematic review of artificial intelligence applications for indoor air quality monitoring in educational settings
Published 2025“…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. …”
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Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices
Published 2025“…<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>. …”
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Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
Published 2023“…<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. …”
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Heuristic approaches for optimizing the performance of rule-based classifiers
Published 2017Get full text
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Evaluation of nursing students' engagement in two different simulation modalities
Published 2024“…<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. …”
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Self-Distillation for Randomized Neural Networks
Published 2023“…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. …”
