Search Results - (( java segmentation using algorithm ) OR ( based religion based algorithm ))
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Developing a college room allocation system using heuristic algorithm / Raziha Bidin
Published 2010“…The proposed heuristic algorithm is based on the simple greedy search, that guide the search efficiently and able to find good solutions. …”
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…Furthermore, data were collected simulated based on the mobile application prototype to be used for finding the suitable machine learning algorithms in the recommendation system module. …”
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Semantic analysis system by using latent semantic analysis (LSA) algorithm on khutbah texts / Ammar Zuber
Published 2019“…The implementation phase are done by developing the project based on the Python language and also the gensim package tool that are available for use. …”
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8
Multi-Modality and Feature Fusion-Based COVID-19 Detection Through Long Short-Term Memory
Published 2022“…In this paper, this research proposed an effective multimodality-based and feature fusion-based (MMFF) COVID-19 detection technique through deep neural networks. …”
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LED based NIR spectroscopy for detection of lard adulteration in palm oil via chemometrics / Katrul Nadia Basri
Published 2017“…Adulteration is a major concern in religion and health. In this study, palm oil was used as it is one of the world most frequent used cooking oil. …”
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Ensemble learning for multidimensional poverty classification
Published 2020“…Analysis of this study showed that Per Capita Income, State, Ethnic, Strata, Religion, Occupation and Education were found to be the most important variables in the classification of poverty at a rate of 99% accuracy confidence using Random Forest algorithm.…”
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Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining
Published 2023“…The results showed that each of the four classification algorithms have an average prediction accuracy of more than 70%, and J48 outperforms other classifiers based on accuracy and classifier errors. …”
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