Search Results - (( developing table learning algorithm ) OR ( java application during algorithm ))
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Development of a diversified ensemble data summarization (DDS) tool for learning medical data in a multi relational environment
Published 2012“…A diversified data summarization ensemble method is best applied in the task of learning data stored in multiple tables since ensemble methods improve quality and robustness of the results. …”
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Research Report -
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Development of a syncope classification algorithm from physiological signals acquired in tilt-table test
Published 2023“…Syncope also known as transient loss of consciousness which caused problem to human daily life. Since machine learning is much more advanced, classification of syncope can be done with machine learning. …”
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Final Year Project / Dissertation / Thesis -
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Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki
Published 2014“…A novel investigation in modelling of groundwater level and quality using Artificial Neural Networks (ANNs) and Adaptive neuro fuzzy inference systems (ANFIS) methods was developed in the study area. Water table modelling based on ANNs and ANFIS technology were developed to simulate the water table fluctuations based on the relationship between the variations of rainfall, humidity, evaporation, minimum and maximum temperature and water table depth. …”
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Thesis -
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Deep reinforcement learning to multi-agent deep reinforcement learning
Published 2022“…In the third section, we look at the RL and important algorithms that exist in this area. In the fourth section, we study DRL and explain the reasons for which different algorithms have been developed in this regard. …”
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SUDOKU HELPER
Published 2015“…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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Final Year Project -
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Evaluation of arima and ann stream analytics for air quality monitoring system
Published 2021“…The data stored in the query table act as input to the analytics algorithm, which runs in R-server as well. …”
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Thesis -
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Novel approach for IP-PBX denial of service intrusion detection using support vector machine algorithm
Published 2021“…In this research, Support Vector Machine (SVM) machine learning detection & prevention algorithm were developed to detect this type of attacks Two other techniques were benchmarked decision tree and Naïve Bayes. …”
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Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review
Published 2023“…The rapid progress of machine learning (ML) technologies provides an advantageous opportunity to develop predictive models that can effectively tackle these challenges. …”
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Diamond price prediction using random forest algorithm / Nur Amirah Mohd Azmi
Published 2025“…This project addresses the challenge of accurately pricing diamonds by leveraging machine learning techniques. Diamonds are priced based on various attributes such as carat, cut, color, clarity, depth, and table, which exhibit complex interrelationships. …”
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Thesis -
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Windows-Based bandwidth allocation on optical networks
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Conference or Workshop Item -
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Academic Exercise -
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Optimisation and control of fed-batch yeast production using q-learning
Published 2013“…QLE signifies the importance of exploration from time to time based on the developed “past experience” in Q-table to optimise the process. …”
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Thesis -
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Machine Learning-Enabled Communication Approach for the Internet of Medical Things
Published 2023“…Furthermore, the machine learning approach helps enable these devices to update their routing tables simultaneously, and an optimal path could be replaced if a better one is available. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Thesis -
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…To process large-scale data sequences, it is important to choose a suitable learning algorithm that is capable to learn in real time. …”
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Thesis -
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An approach to improve detecting and removing cross- site scripting vulnerabilities in web applications
Published 2015“…This research work was limited to Java based web applications. In future research, the method can be extended to include other programming languages as well as other similar web application security vulnerabilities.…”
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Thesis -
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