Search Results - (( java application optimisation algorithm ) OR ( towards interactive learning algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Thesis -
3
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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Final Year Project Report / IMRAD -
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
Published 2022“…Conventional approaches formulate resource allocation as an optimization problem and solve it with instantaneous environment knowledge without considering the consequences of actions. A step towards long network performance optimization is theterm use of deep reinforcement learning (DRL), which can learn the best policy via interaction with the environment. …”
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Final Year Project / Dissertation / Thesis -
5
Particle swarm optimization with deep learning for human action recognition
Published 2021“…The regions extracted by these algorithms are larger than the region of interest and stretches towards the direction of movement. …”
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Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms
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Final Year Project Report / IMRAD -
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…The reliable relationship between EEG signals of the attention and meditation and their impact towards the positive and negative emotions among children while learning illustrates the potentials in detecting mental states which are relevant to tutoring such as comprehension, engagement and learning impact. …”
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Polytechnic science lecturers’ intention to use ICT as a tool in northeast Nigeria: a smart PLS approach
Published 2017“…The Technology Acceptance Model (TAM) was employed as a theoretical framework. The Bootstrapping Algorithm with SmartPLS was applied for modelling interaction with 269 subjects from the targeted populations of 715 science lecturers from Northeast Nigeria. …”
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Support vector machine in precision agriculture: a review
Published 2021“…The Support Vector Machine (SVM) is a Machine Learning (ML) algorithm which may be used for acquiring solutions towards better crop management. …”
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10
Linomotion: reviving traditional prints with AR in the era of digital madani
Published 2024“…The combination of AR with lino printing bridges the gap between traditional art and modern technology to create an interactive learning experience that will attract people to appreciate arts again.…”
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Proceedings -
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Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj
Published 2023“…The fact is that the time and resources are limited especially in some areas in the world, where getting easy access towards a certified teacher for Quranic teaching and learning is a big issue. …”
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Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms
Published 2023“…The transformed data is then modelled using machine learning algorithms such as Naïve Bayes classifier and Support Vector Machine to predict the overall sentiment of tweets, in which the finding depicted an overall positive sentiment surrounding the issue. …”
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Final Year Project Report / IMRAD -
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Depression Detection in Tweets from Urban Cities of Malaysia using Deep Learning
Published 2021“…Therefore, the research entails on how the problem statement of this project on developing an algorithm that can predict text- based depression symptoms using deep learning and Natural Language Processing (NLP) can be achieved. …”
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Conference or Workshop Item -
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Compact Convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis
Published 2021“…Recently, due to the popularity of end-to-end deep learning, the applicability of algorithms such as convolutional neural networks (CNN) has been explored to achieve the mentioned tasks. …”
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Social Media Sentiment Analysis of Thermal Engineering Students for Continuous Quality Improvement in Engineering Education / Wandeep Kaur ...[et al.]
Published 2017“…A supervised machine learning algorithm was employed for sentiment classification purpose which was implemented using Rapid Miner. …”
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Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron
Published 2013“…The Natphoric algorithm learns the process done by training with sets of training data from previous KE research works. …”
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18
Demystifying Artificial Intelligence (AI) for Early Childhood and Elementary Education: A Case Study of Perceptions of AI of State of Missouri Educators
Published 2023“…Future uses of AI will include the following: enabling engaging and interactive education anytime and anywhere; personalized AI mentors that will help students identify and reach their goals; and mass-personalization that will allow AI to be tailored to each student’s learning style, level, and needs. …”
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Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…A Wilcoxon Signed-Rank Test was performed to measure the pair-wise statistical performances of the algorithms and from the results, NPO recorded a better statistical performance compared to the other benchmarking algorithms. …”
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Predictive modeling and feature attribution of CO₂ adsorption on LDH-derived materials using machine learning approach
Published 2025“…Two-factor dependence plots offered an explicit view of how the interaction between two input features influences the model’s prediction. …”
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