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Chaos search in fourire amplitude sensitivity test
Published 2012“…This paper explores the characterization of learning functions involved in FAST and derives the underlying dynamical relationships with chaos search, which can provide new learning algorithms. …”
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Chaos Search in Fourier Amplitude Sensitivity Test
Published 2012“…This paper explores the characterization of learning functions involved in FAST and derives the underlying dynamical relationships with chaos search, which can provide new learning algorithms. …”
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Distributed learning based energy-efficient operations in small cell networks
Published 2023“…Also, the proposed algorithms focus on the need for cooperative learning that maintains the quality of service, adapts to the network dynamics and achieves energy efficiency in dense small-cell networks. …”
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Parking finder mobile application
Published 2025“…In this system, computer vision and deep learning models such as YOLOv8 will be utilized for parking spaces and vehicle detection while the DeepSORT algorithm is implemented to track vehicle movement in real-time. …”
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The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
Published 2016“…Through the combination of two color space, the tracking algorithm can detect the ambulance with higher percentage of detection and is insensitive to the varying illumination of sun light. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…The algorithms were examined on two real datasets, namely, NSL-KDD and Landsat. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…Their activities (otherwise termed cyber-trooping) could have either positive, negative, or neutral feedbacks (perceptions) in the public space. Thus, there is a need to automate the process of identifying and predicting (positive, negative, or neutral class) these cyber-trooping data. …”
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A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites
Published 2019“…Owing to its proven performance in many other optimization problems, the adoption of the parameter-free Teaching Learning-based Optimization (TLBO) algorithm as a new t-way strategy is deemed useful. …”
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Classification of heart disease with machine learning: a comparison of grid search, random search, and Bayesian Optimization
Published 2026“…Four commonly used machine learning algorithms: Logistic Regression (LR), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Gradient Boosting were tested on benchmark datasets from the UC Machine Learning Repository. …”
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Development of IoT-based automated dynamic emergency response system against fire incidents in academic building
Published 2023“…The ongoing advancement of architectural and structural designs, high-ceiling spaces, special spaces have made fire disasters increasingly diverse and difficult to predict. …”
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Enhancing professional development and training through AI for personalized learning: a framework to engaging learners / Zoel-Fazlee Omar ... [et al.]
Published 2024“…The analysis showcases the potential of AI-driven personalized learning to revolutionize the learning process, catering to individual learner needs, preferences, and pace. …”
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Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024)
Published 2025“…Ultimately, the study underscores the need for interdisciplinary collaboration among educators, policymakers, and technology developers to foster sustainable and inclusive learning environments. …”
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A review on sentiment analysis model Chinese Weibo text
Published 2020“…For traditional machine learning, there are 2 mainly aspects of innovation: Simultaneous classifier (Adoboost+SVM) and Improvement of classical classification algorithm. …”
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HandGestureSense: Hand gesture recognition-controlled smart home automation
Published 2024“…The system enables users to seamlessly control every aspect of their smart home without the need for physical contact. The proposed project utilizes computer vision algorithms to capture and analyze live image or gesture video streams. …”
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Final Year Project / Dissertation / Thesis -
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HandGestureSense: Hand gesture recognition-controlled smart home automation
Published 2024“…The system enables users to seamlessly control every aspect of their smart home without the need for physical contact. The proposed project utilizes computer vision algorithms to capture and analyze live image or gesture video streams. …”
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