Search Results - (( learned generated reporting algorithm ) OR ( java implication based algorithm ))
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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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An improved diagnostic algorithm based on deep learning for ischemic stroke detection in posterior fossa
Published 2020“…As the amount of image data generated by NECT is massive, Deep Learning (DL) solutions are among the effective ways to deal with complex and large amount of cross-sectional data. …”
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Thesis -
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Classifying good and bad websites
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Final Year Project Report / IMRAD -
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An Apriori-based Data Analysis on Suspicious Network Event Recognition
Published 2019“…Apriori-based rule generators, which are powered by the DIS-Apriori algorithm and the NIS-Apriori algorithm, are applied to analyze the data sets available in the IEEE BigData 2019 Cup: Suspicious Network Event Recognition. …”
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ARTIFICIAL NEURAL NETWORK FOR WATER LEVEL PREDICTION IN A RIVER UNDER TIDAL INFLUENCE
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Final Year Project Report / IMRAD -
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A COLLABORATIVE FRAMEWORK FOR ANDROID MALWARE IDENTIFICATION USING DYNAMIC ANALYSIS
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An evolutionary based features construction methods for data summarization approach
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Research Report -
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…In order to estimate the quality of ‘pruned’ features, self-adaptive DE algorithm is proposed. Two parameters (population size and generation numbers) are adaptively adopted from number of remaining ranking features. …”
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Deep learning approaches, platforms, datasets for behavior based recognition: a survey
Published 2025“…We attempt to classify current research work to report the ongoing trends in human behavior recognition using deep learning algorithms. …”
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Modelling hourly runoff using ann for sg. Sarawak Kanan Basin
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Final Year Project Report / IMRAD -
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Hourly water level prediction of sungai bedup catchement using pre-developed ANNs model from Siniawan catchment
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Final Year Project Report / IMRAD -
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Improving robotic grasping system using deep learning approach
Published 2020“…This research aimed to develop a Deep Learning grasp detection model and a slip detection algorithm and integrating them into one innovative robotic grasping system. …”
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BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier
Published 2008“…This paper reports on the application of sequence analysis algorithms for agents in robotic soccer and a suitable representation is proposed to achieve this mapping.The objective of this research is to generate novel better in-game strategies with the aim of faster adaptation to the changing environment.A homogeneous non-communicating multi-agent architecture using the representation is presented.To achieve real-time learning during a game, a bucket brigade algorithm is used to reinforce Cellular Automata Based Classifier. …”
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Translating medical image to radiological report: Adaptive multilevel multi-attention approach
Published 2022“…Previous attempts on automatic medical report generation task includes image captioning algorithms without taking domain-specific visual and textual contents into account, thus arises the question about credibility of generated report. …”
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