Search Results - (( construct mobile learning algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Designing algorithm visualization on mobile platform: The proposed guidelines
Published 2017“…This paper entails an ongoing study about the design guidelines of algorithm visualization (AV) on mobile platform, helping students learning data structures and algorithm (DSA) subject effectively.Our previous review indicated that design guidelines of AV on mobile platform are still few.Mostly, previous guidelines of AV are developed for AV on desktop and website platform. …”
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Algorithm visualization design guidelines for mobile leaning
Published 2018“…The guidelines are useful for AV designers in constructing AV mobile learning.…”
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Autonomous path planning robot using geographical information
Published 2008Get full text
Learning Object -
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A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation
Published 2023Conference Paper -
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Design and fabrication of novel Articulated Robot Arm with mobile movement
Published 2008Get full text
Learning Object -
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Design and fabrication of novel Articulated Robot Arm with mobile movement
Published 2008Get full text
Learning Object -
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Development of a Wireless PC-Controlled Mobile Robot System and Multimedia Based Learning Module
Published 2001“…The multimedia module is divided into three main sections, which are automation, robotics and mobile robot systems. The mobile robot section shows the fabrication of the mobile robot, construction of gripper arm and some video of the movement of the mobile robot system. …”
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Thesis -
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A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…The performance of MANFIE was compared with existing methods in a diversity of practical benchmark applications such as pattern classifications, time series predictions, modeling with inverse learning control and mobile robot navigation. The MANFIE has shown the ability to reduce and form the robust minimal rules (Rules reduced on average 97.95% and 96.90% accuracy for pattern classifications, rules reduced on average 97.15%, 75% and 98.43% for time series predictions, modeling with inverse learning control and mobile robot navigation respectively) to make an appropriate structure and minimize the root mean square error (RMSE - 0.024, 0.149 for time series predictions, 0.007 for modeling with learning control, 0.027 for mobile robot navigation) with the best accuracy. …”
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User interface and interactivity design guidelines of algorithm visualization on mobile platform
Published 2019“…Algorithm Visualization (AV) is a pedagogical tool that can help learners to see the animation of the step-by-step process of an algorithm. …”
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Enhancement Of Static Code Analysis Malware Detection Framework For Android Category-Based Application
Published 2021“…Four types of machine learning algorithm were tested with four different kind of splitting dataset techniques separately. …”
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Stress mental health symptom assessment mobile application for young adults
Published 2023“…Before this stage, the KNN algorithm is employed to construct the model using Google Form response data as part of the application development process. …”
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Final Year Project / Dissertation / Thesis -
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Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation
Published 2017“…Finally, the last objective is to improve the optimality of the new approach using a robust Machine Learning strategy. An adaptive neuro-fuzzy inference system (ANFIS) was designed which constructs and optimizes a fuzzy logic controller using a given dataset of input/output variables in order for the mobile robot to learn. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Thesis -
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Learning a deeply supervised multi-modal RGB-D embedding for semantic scene and object category recognition
Published 2017“…This technique motivates bilateral transfer learning between the modalities by taking the outer product of each feature extractor output. …”
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Power allocation with non-orthogonal multiple access for 5G heterogeneous network
Published 2023“…The system models were derived to analyze the power performance based on the power allocation factor. An algorithm is constructed based on the deep learning coordinated multi-point to simulate the performance of the downlink 5G. …”
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Conference or Workshop Item
