Search Results - (( user evaluation method algorithm ) OR ( based interactive method algorithm ))
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Segmentation of MRI brain images using statistical approaches
Published 2011“…The non-Local means (NL-means) algorithm is a state-of-the art neighbourhood-based noisereduction method which is time-consuming and its accuracy can be improved. …”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Prime-based method for interactive mining of frequent patterns
Published 2010“…A comprehensive experimental analysis is conducted by several experiments and scenarios to evaluate the correctness and effectiveness of the proposed method especially for interactive mining. …”
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…In its formulation, the algorithm considers the interests and preferences of users’ friends and faculty mates in addition to users’ own preferences. …”
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Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli
Published 2021“…In modern society, with the advent of technology, people can easily share information, interact with each other and do their job on an online platform. …”
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Space allocation for examination scheduling using Genetic Algorithm / Alya Kauthar Azman
Published 2025“…Additionally, a user-friendly interface for administrative staff would enhance interaction and usability. …”
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8
Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…Meanwhile, the effectiveness test shows that this VR product can improve learning outcomes better than traditional learning methods. Overall, the VR products developed have proven to be practical and effective in learning programming algorithms. …”
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Image segmentation method for boundary detection of breast thermography using random walkers
Published 2013“…The performance of the proposed method was evaluated by a board of three professional radiologists and the final decision was based on the majority agreement. …”
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11
Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…The proposed method is based on a hybrid method integrating random walkers algorithm with integrated priors and particle swarm optimized spatial fuzzy c-means (FCM) algorithm with level set method and AdaBoost classifier. …”
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12
Document ranking using information quality criteria in weblog search engine
Published 2013“…Thus, the use of traditional rank algorithms like PageRank and HITS in general search engines are not appropriate to evaluate the Weblog posts because such algorithms do not consider the blog specific features. …”
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Automatic liver tumor segmentation on computed tomography for patient treatment planning and monitoring
Published 2016“…The proposed framework is fully automatic requiring no user interaction. The proposed segmentation evaluated on real-world clinical data from patients is based on a hybrid method integrating cuckoo optimization and fuzzy c-means algorithm with random walkers algorithm. …”
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Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning
Published 2023“…A comparison of both Q-learning and State-ActionReward-State-Action (SARSA) based systems in autonomous drone application was performed for evaluation in this study. …”
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Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning
Published 2023“…A comparison of both Q-learning and State-ActionReward-State-Action (SARSA) based systems in autonomous drone application was performed for evaluation in this study. …”
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Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning
Published 2023“…A comparison of both Q-learning and State-ActionReward-State-Action (SARSA) based systems in autonomous drone application was performed for evaluation in this study. …”
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Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning
Published 2023“…A comparison of both Q-learning and State-ActionReward-State-Action (SARSA) based systems in autonomous drone application was performed for evaluation in this study. …”
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Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor
Published 2023“…The resulting hand gesture recognition system is rigorously evaluated and compared to existing methods, demonstrating its effectiveness. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…A comprehensive experimental analysis was conducted to evaluate the efficiency and effectiveness of the proposed algorithms (ONF-TRS, CC-TRS). …”
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20
Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning
Published 2023“…A comparison of both Q-learning and State-ActionReward-State-Action (SARSA) based systems in autonomous drone application was performed for evaluation in this study. …”
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