Search Results - (( vr application learning algorithms ) OR ( its application use algorithm ))
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Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…The reliability of VR supports various variations in learning, including learning programming algorithms. …”
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Harmonizing Tradition and Technology: A Review of Tarannum and Its Prospects in Computing Research
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A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets
Published 2022“…Secondly, we use a low-cost wearable EEG headset that is both compact and small, and can be attached to the scalp without any hindrance, allowing freedom of movement for participants to view their surroundings inside the immersive VR stimulus. Finally, we evaluate the emotion recognition system by using popular machine learning algorithms and compare them for both intra-subject and inter-subject classification. …”
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Eye fixation versus pupil diameter as eye- tracking features for virtual reality emotion classification
Published 2022“…The usage of eye-tracking technology is becoming increasingly popular in machine learning applications, particularly in the area of affective computing and emotion recognition. …”
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Proceedings -
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Robotics in Education
Published 2026“…The AI section discusses machine learning, path-planning algorithms (e.g., A* search, SLAM), and classroom case studies. …”
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Structural Equation Modeling Algorithm and Its Application in Business Analytics
Published 2017“…Novelty of this article is in modified steps of SEM application in modeling strategies, also in its developed practical comprehensive SEM application flowchart This article is a roadmap for business advisors and those scholars trying to compute SEM for their decision making, complex modeling and data analysis programming, …”
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Book Chapter -
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Fast decryption method for a Rabin primitive-based cryptosystem
Published 2014“…The Chinese Remainder Theorem (CRT) is an algorithm for solving linear congruence system into a unique representation and has been a useful tool in applications of cryptography. …”
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Investigating the Application of Artificial Intelligence for Earthquake Prediction in Terengganu
Published 2023text::Thesis -
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Orthogonal least square algorithm and its application for modelling suspension system
Published 2001“…The derivation of the algorithm is presented and its application to the modelling of a car suspension system is included to demonstrate the effectiveness of the algorithm.…”
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Schelkunoff array synthesis methods using adaptive-iterative algorithm
Published 2003“…By the co-emergence of these algorithms, a better performance and wider application are hoped to be achieved since each of these algorithms has its own advantages respectively. …”
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Bees algorithm for Forest transportation planning optimization in Malaysia
Published 2021“…Algorithm is widely used in various areas due to its ability to solve classes of problems. …”
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A multi-objective Spiral Dynamic algorithm and its application for PD design
Published 2017“…A Non-dominated sorting (NS) approach from Non-dominated Sorting Genetic Algorithm II (NSGAII) is adopted into SDA to develop its multi-objective (MO) type algorithm. …”
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Conference or Workshop Item -
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Evaluation of dynamic programming among the existing stereo matching algorithms
Published 2015“…On this research is to perform an evaluation on the performance between the dynamic programming with other existing method as comparison. The algorithm used on the dynamic programming is the global optimization which provides better process on stereo images like its accuracy and its computational efficiency compared to other existing stereo matching algorithms. …”
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Autonomous Robot Navigation in Unknown Maze Environment
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Final Year Project -
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New algorithm for gyroless spacecraft angular rate Estimation and its application
Published 2006“…A new algorithm for estimating the angular velocity using quaternion measurements is developed based on the concept of the global optimality resulting when using a centralized or master Kalman filter. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The Wilcoxon signed ranked statistical test shows that the ssSKF algorithm that uses an adaptive local neighbourhood in the prediction phase performs statistically better than the SKF algorithm that uses the last estimated state as its prediction, especially in solving high dimensional functions. …”
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Enhanced stochastic fractal search algorithm with chaos
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…The second improvement includes the development and use of new Local Search Algorithm with SSA to improve its exploitation. …”
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