Search Results - (( initial organization learning algorithm ) OR ( java implication based algorithm ))
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Greedy-assisted teaching-learning-based optimization algorithm for cost-based hybrid flow shop scheduling
Published 2025“…However, limited attention has been given to CHFS when considering holistic cost models using efficient algorithms. This paper presents a novel Greedy-Assisted Teaching-Learning-Based Optimization (GTLBO) algorithm for CHFS. …”
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Self-organizing kernel-based convolutional echo state network for human action recognition / Lee Gin Chong
Published 2022“…Specifically, this work proposes an unsupervised self-organizing network for learning node centroids and interconnectivity maps compatible with the deterministic initialization of ESN reservoir weights. …”
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Although effective, the performance of the k-means clustering algorithm depends heavily on the initial centroids and the number of clusters, k. …”
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Although effective, the performance of the k-means clustering algorithm depends heavily on the initial centroids and the number of clusters, k. …”
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…The DE is integrated with CS at the population initialization by distributing the population linearly. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Data pre-processing of website browsing record: An initial step for web page classification
Published 2021“…The classification of web pages is required to organize the growing number of web pages. A web page classification system is proposed to be constructed using a deep learning algorithm. …”
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Conference or Workshop Item -
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A review on statistical and machine learning approaches to forecasting the occurrence of covid-19 positive cases
Published 2022“…Many research efforts in the battle against the pandemic have been made, a lot of prediction models based on mathematical models, infectious disease models, and machine learning models have been developed. Previous work shows that the LSTM algorithm is the most used deep learning technique in forecasting various infectious disease such as Dengue, Malaria and recent Covid-19 pandemic. …”
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Proceedings -
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Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features
Published 2018“…Our automated CAD system can differentiate normal, malignant, and benign liver lesions using machine learning algorithms. It was trained using 78 normal, 26 benign and 36 malignant focal lesions of the liver. …”
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