Search Results - (( java implication based algorithm ) OR ( data organisational learning algorithm ))
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An improved pheromone-based kohonen self-organising map in clustering and visualising balanced and imbalanced datasets
Published 2021“…However, similar to other clustering algorithms, this algorithm requires sufficient data for its unsupervised learning process. …”
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An Improved Pheromone-Based Kohonen Self- Organising Map in Clustering and Visualising Balanced and Imbalanced Datasets
Published 2021“…However, similar to other clustering algorithms, this algorithm requires sufficient data for its unsupervised learning process. …”
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The influence of human resource management practices, organisational ethical climate and organisational learning capability on corporate environmental citizenship
Published 2017“…Besides that, organisational learning capability did not moderate the relationship between organisational ethical climate and corporate environmental citizenship. …”
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4
Underwater Image Recognition using Machine Learning
Published 2024“…It encompasses the procedure for feeding algorithms information to create the algorithms realize patterns in the data and then increase the performance of the algorithms. …”
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Machine learning predictions of stock market pattern using Econophysics approach
Published 2025“…In conclusion, the study of Econophysics principles with Python programming and machine learning algorithms has indicates that the predictive framework is reliable and effective in capturing stock price fluctuations, enhancing decision-making for investors based on data-driven insights.…”
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8
Detection of SQL injection attack using machine learning
Published 2024“…SQL injection (SQLI) refers to a specific type of security vulnerability that occurs when unauthorised SQL code is inserted into web applications to compromise databases, leading to potential consequences such as data breaches, server disruptions, and data loss within an organisational context. …”
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Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…The recent progress in computer storage technology have enable many organisations to collect and store a huge amount of data which is lead to growing demand for new techniques that can intelligently transform massive data into useful information and knowledge. …”
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10
Public transport delay prediction using deep learning
Published 2024“…Over the past two decades, a number of studies on prediction algorithms for transportation data have been proposed. …”
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The effect of organisational internal factors and technology orientation on environmental sustainability performance of Malaysian construction firms
Published 2021“…This study seeks to fill this gap by applying the contingency resource-based view, institutional, and learning theories to investigate the effects of organisational internal factors and technology orientation on construction firms’ environmental sustainability performance. …”
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12
Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization
Published 2021“…Hybrid combinations of feature selection, classification and visualisation using machine learning (ML) methods have the potential for enhanced understanding and 30-day mortality prediction of patients with cardiovascular disease using population-specific data. …”
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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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Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration
Published 2022“…The data hunger of machine learning models can be classified into two categories, namely the qualitative hunger (where machine learning models need for various features for training) and quantitative hunger (need for a vast amount of historical data for training). …”
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Unveiling sarcastic intent: web-based detection of sarcasm in news / Mohd Nazzim Lahaji, Tajul Rosli Razak and Mohammad Hafiz Ismail
Published 2023“…This study uses machine learning techniques to introduce a novel web-based sarcasm detection system tailored explicitly for news headlines. …”
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Factors with retirement behaviour among retirees and pre-retirees identified with a machine learning method / Muhammad Aizat Zainal Alam
Published 2023“…This study uses 3,067 responses which are then be coupled with a machine learning methodology (ranging from Naïve Bayesian, Generalised Linear Model, Logistic Regression, Artificial Neural Network, Decision Tree, Random Forest, and Gradient Boosted Trees) via RapidMiner Studio to expand the understanding of how categories of wealth and expenditures can affect retirement behaviour, given the increasingly important role of machine learning algorithms within the context of behavioural economics where it has been demonstrated to describe patterns and relationships in behavioural data better than standard statistical analysis. …”
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17
Zero distortion-based steganography for handwritten signature
Published 2018“…Thus, developing a steganographic algorithm to use cover media (c) without raising attention is the most challenging task in data hiding. …”
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