Search Results - (( learning interaction effects algorithm ) OR ( java implication based algorithm ))
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Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…The analysis of learning problems shows the unavailability of interactive learning media that can support various learning styles of students in programming algorithm materials. …”
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Designing algorithm visualization on mobile platform: The proposed guidelines
Published 2017“…In fact, mobile learning has been proved to enhance engagement in learning circumstances, and thus effect student’s performance.In addition, the researchers highly recommend including UI design and Interactivity in designing effective AV system.However, the discussions of these two aspects in previous AV design guidelines are not comprehensive.The UI design in this paper describes the arrangement of AV features in mobile environment, whereas interactivity is about the active learning strategy features based on learning experiences (how to engage learners). …”
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Algorithm visualization design guidelines for mobile leaning
Published 2018“…This study is about the algorithm visualization design guidelines for mobile platform, to teach students data structures and algorithm (DSA) subject effectively. …”
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An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications
Published 2015“…Finally, the IRFNFN model and associated FDE learning algorithm were applied to the control system of the water bath temperature and the forecast of the sunspot number. …”
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Development of an interactive learning tool for analysis of fast fourier transform from butterfly diagram
Published 2023“…This project is to develop an interactive learning tool for the analysis of Fast Fourier Transform from the butterfly diagram. …”
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Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…Finally, the effectiveness of the algorithm is evaluated based on the accuracy performance. …”
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Visualization Tool for Pathfinding Algorithms
Published 2023“…By incorporating interactive features and step-by-step animations of popular pathfinding algorithms, the tool empowers students to actively engage in the learning process and experiment with different algorithmic approaches. …”
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Final Year Project Report / IMRAD -
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The impact of virtual reality on programming algorithm courses on student learning outcomes
Published 2024“…Therefore, learning with VR effectively improves student learning outcomes on programming algorithm materials. …”
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User interface and interactivity design guidelines of algorithm visualization on mobile platform
Published 2019“…Moreover, the evaluation of the effectiveness of the AVOMP prototype from 35 participants through laboratory experiments based on the bloom taxonomy test shows that there is a significant difference between students learning sorting algorithms using the manual approach (Pre-Test) and the AVOMP app (Post-Test). …”
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Interaction effect of process parameters and Pd-electrocatalyst in formic acid electro-oxidation for fuel cell applications: Implementing supervised machine learning algorithms
Published 2023“…Carbon nanotubes; Electrocatalysts; Electrooxidation; Forestry; Formic acid; Gaussian distribution; Learning algorithms; Palladium; Parameter estimation; Regression analysis; Support vector machines; Formic acid electrooxidation; Fuel cell application; Gaussian kernel functions; Gaussian process regression; Interaction effect; Machine learning algorithms; Performance; Process parameters; Regression trees; Support vector machine regressions; Sensitivity analysis…”
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Automated bilateral negotiation with incomplete information in the e-marketplace.
Published 2011“…The reason is that, SRT algorithm is sensitive to the accuracy of the learned preferences while MGT algorithm can generate Pareto-optimal offers even with an approximation of the learned preferences.…”
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How Does Image Complexity Affect the Accuracy of an Interactive Image Segmentation Algorithm?
Published 2025“…The adaptive strategy improves segmentation performance and guides the development of robust algorithms. Future research can further refine the adaptive approach, explore additional complexity measures, and incorporate advanced machine learning techniques to enhance interactive image segmentation. …”
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A comparative study of interactive segmentation with different number of strokes on complex images
Published 2020“…There was no evaluation of the effects on the number of strokes on this interactive segmentation. …”
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A Comparative Study of Interactive Segmentation with Different Number of Strokes on Complex Images
Published 2020“…There was no evaluation of the effects on the number of strokes on this interactive segmentation. …”
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Integrating of web 2.0 technologies for interactive courseware : data structure and algorithm as case study
Published 2013“…The intention of the developed courseware is not to replace conventional class, but the develop courseware main objective is to assist students of FCSIT for better understanding towards Data Structure and Algorithms Course (TMC1433) through interactive delivering information.…”
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Particle swarm optimization with deep learning for human action recognition
Published 2021“…If the scene is stationary, the identification of the moving people is addressed based on the correlation tracking technique. Finally, a deep learning neural network is used to evaluate the methodâ��s effectiveness. …”
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Revolutionizing Human?Computer Interaction: Unraveling the Power of Deep Learning Convolutional Neural Networks in Face Recognition
Published 2025“…s physiology to identify them. In addition, Deep Learning, under the subset of machine learning, can solve various problems, especially in image processing and face recognition. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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Predicting open space parking vacancies using machine learning
Published 2023“…A custom object detector developed using the YOLOv4 algorithm was used to collect the data for training the machine learning model. …”
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Final Year Project / Dissertation / Thesis
