Search Results - (( data visualization using algorithm ) OR ( using organization learning algorithm ))
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Exploring employee working productivity: initial insights from machine learning predictive analytics and visualization / Mohd Norhisham Razali ... [et al.]
Published 2023“…To address these challenges, we developed a predictive model using machine learning techniques to determine employee productivity within organizations. …”
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2
Dimensional Reduction and Data Visualization Using Hybrid Artificial Neural Networks
Published 2015“…Dimensionality reduction and visualization techniques such as self-organizing map (SOM) are usually used to explore the underlying multidimensional data structure. …”
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3
Dimensional reduction and data visualization using hybrid artificial neural networks.
Published 2015“…Dimensionality reduction and visualization techniques such as self-organizing map (SOM) are usually used to explore the underlying multidimensional data structure. …”
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4
A hybrid spiking neural network model for multivariate data classification and visualization.
Published 2011“…Therefore, this hybrid learning model is proposed to harness the advantages of both SOM-AC and SNN to produce intuitive multivariate data classification and visualization. …”
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Proceeding -
5
Dimensional reduction and data visualization using hybrid artificial neural networks.
Published 2015“…Dimensionality reduction and visualization techniques such as self-organizing map (SOM) are usually used to explore the underlying multidimensional data structure. …”
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6
Exploring employee working productivity: initial insights from machine learning predictive analytics and visualization
Published 2023“…Organizations can use this data to inform workforce planning, address specific challenges in departments, and cultivate an inclusive work environment. …”
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Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows
Published 2026“…The Multimodal Transformer Fusion (MMTF) model uses the cross-modal attention mechanisms to combine these streams of data to produce unified emotional representations. …”
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An artificial neural network model for multi dimension reduction and data structure exploration, Proceedings of International Conference of Soft Computing and Pattern Recognition (...
Published 2009“…SOM, being a prominent unsupervised learning algorithm, is often used for multivariate data visualization. …”
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Proceeding -
9
Predictive analytics for the sentiment of malaysian place of interest using machine learning models
Published 2023“…Additionally, several Natural Language Processing (NLP) techniques were employed to pre-process the text data, as part of the machine learning process. The data was then divided into training and testing sets, and was trained using three different supervised learning algorithms, namely Support Vector Machine, Random Forest, and Naive Bayes. …”
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Undergraduates Project Papers -
10
Machine Learning Workflow to Predict Remaining Useful Life (RUL) of Equipment
Published 2019“…One of the most popular machine learning approaches is employed in the prediction workflow which is the Artificial Neural Network (ANN) algorithm, due to its capability to learn from a large volume of data points and high prediction accuracy. …”
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Final Year Project -
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Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias
Published 2023“…The result of the data analysis is visualized into a web application system to enable the analysis results to be interpretable and readable by the user using Plotly visualization tool. …”
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Predicting factors of library traffic for UiTMCTKKT Cendekiawan Library using predictive analytics / Azzatul Husna Abdul Aziz
Published 2025“…The CRISP-DM methodology was followed to apply machine learning algorithms, namely Random Forest, Decision Tree, and Naive Bayes, to the data gathered in the library which is traffic, book rentals, and questionnaires. …”
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Sentiment analysis on the place of interest in Malaysia
Published 2025“…The data was collected from Twitter using social media monitoring software and organized into tables. …”
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An early warning system for students at risk using supervised machine learning
Published 2024“…The main objective of this study is to create an early warning system for educators to use in educational institutions. For that, this study will perform a study of the current issues, factors, and solutions in education student’s data, determine the supervised machine learning algorithms, compare which model is the best predict the students’ performances, develop an early warning system for the educators to make an early decision in order to assist and consult the at-risk students, and finally conduct testing and evaluation of the system. …”
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Automated cad system for early stroke diagnosis: Review
Published 2023“…Traditional stroke detection procedures, such as manual visual evaluation of clinical data, can be time-consuming and error-prone. …”
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An automated pipeline for constructing 3D models of monogenean hardparts using machine learning technique for landmarks detection / Teo Bee Guan
Published 2019“…The ANN was trained by 5000 synthetic 2D illustrations of monogenean anchors using a data augmentation algorithm. Besides, a NoSQL-based database, MongoDB was developed to store all the synthetic 2D illustrations. …”
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Thesis -
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The Development Of System For Algorithms Visualization Using Simjava
Published 2020“…Algorithms are a captivating use case for visualization. …”
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Budget visualizer using circle packing technique / Nursyahira Zulkeply
Published 2019“…In order to construct this data visualization, the circle packing algorithm is used to visualize these budgets. …”
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Thesis -
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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HAPTIC VISUALIZATION USING VISUAL TEXTURE INFORMATION
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Thesis
