Search Results - (( java implementation path algorithm ) OR ( knowledge creating learning algorithm ))
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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2
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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5
Developing an intelligent system to acquire meeting knowledge in problem-based learning environments
Published 2006“…MALESAbrain1-3 is an intelligent algorithm which originally is designed for problem-based learning (PBL) environment. …”
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Meta-Heuristic Algorithms for Learning Path Recommender at MOOC
Published 2021“…Streamlining the order of courses to create a well-defined learning path can help e-learners achieve their learning goals effectively and systematically. …”
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Machine learning using robust AI techniques / Prof. Madya Dr. Nordin Abu Bakar
Published 2012“…The learning process creates knowledge that guides a person to make the decisions. …”
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Research Reports -
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An automated strabismus classification using machine learning algorithm for binocular vision management system
Published 2023“…Besides, a new practitioner could lead to misdiagnosis due to lack of professional experience and knowledge. To overcome these limitations, a machine learning algorithm, which is a case-based reasoning, is developed to automate the strabismus classification. …”
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Proceeding Paper -
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Thus, using neural network-based semi-supervised stream data learning is inadequate due to capture the changes in the distribution and characteristics of various classes of data while avoiding the effect of the outdated stored knowledge in neural networks (NN). …”
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10
An automated strabismus classification using machine learning algorithm for binocular vision management system
Published 2023“…Besides, a new practitioner could lead to misdiagnosis due to lack of professional experience and knowledge. To overcome these limitations, a machine learning algorithm, which is a case-based reasoning, is developed to automate the strabismus classification. …”
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Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar
Published 2016“…The end product of learning that could establish the relationships between knowledge and intelligence. …”
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Campus study buddy : collaborative learning and resource sharing app
Published 2024“…This project is aiming to create a mobile application based on Android. Higher education institutions can use this program to provide students with a platform to collaborate and support each other's learning, creating a collaborative learning environment, promoting knowledge sharing, and improving student academic success. …”
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Teaching students interdisciplinary knowledge through compilation of differential models within the framework of course projects / Duisebek Nurgabyl ... [et al.]
Published 2023“…Data analysis revealed that 87% of students and 80% of teachers lacked knowledge and skills to create mathematical models and establish interdisciplinary connections. …”
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Automated model selection for corporation credit risk assessment using machine learning / Zulkifli Halim
Published 2023“…Through the automated model selection, 176 models are created across the experiment settings. The models are based on the four machine learning algorithms: logistic regression, support vector machine, decision tree, and neural network; two ensemble techniques: adaptive boost and bootstrap aggregation; three deep learning algorithms: recurrent neural network, long short-term memory(LSTM), and gated recurrent unit (GRU). …”
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Ontology enrichment with causation relations
Published 2014“…Ontology learning is considered a potential approach that can help to reduce the bottleneck of knowledge acquisition. …”
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Evolution strategies for evolving artificial neural networks in an arcade game
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Ontology based approach to Fuzzy student model design
Published 2014“…In this paper we intend to employ the use of Fuzzy logic and Ontology techniques to model the student’s learning behaviour with the aim of improving the learning path and increase the system’s adaptability. …”
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A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…Neuro-fuzzy inference engine and/or system is knowledge based data processing system and can manage the human reasoning course and create decisions based on uncertainty and imprecise situations. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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