Search Results - evolution ((((computation techniques) OR (visualization technique))) OR (mining techniques))
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Information visualization techniques usage model
Published 2013“…However, information visualization tool must be appropriately used in context of the data to be visualized, and the information intended to be conveyed in order not to mislead or confuse the users.In view of guiding designers of information visualization tools in making appropriate choice with regards to visualization and interaction techniques that fit in, this study employs content analysis of past researches on information visualization to present a usage model for information visualization techniques.…”
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Conference or Workshop Item -
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Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee
Published 2004“…The report will cover the literature review that started with an introduction to computer auditing, introduction to data mining, data mining techniques (classification, neural network and sequential analysis), and the existing data mining software. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…Many statistical and data mining techniques have been used to predict time series stock market. …”
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Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus
Published 2019“…PCA is a dimensionality reduction technique that is robust and ease the visualization task. …”
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Critical review of object detection techniques for traffic light detection in intelligent transportation systems
Published 2025“…Despite progress in deep learning and optimization algorithms, traffic light detection still faces persistent challenges under varying conditions such as illumination changes, occlusions, and visual clutter. This study provides a critical review of object detection techniques specifically for traffic light detection, evaluating the evolution of machine learning frameworks, deep learning architectures, and hybrid optimization models. …”
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A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution
Published 2018“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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Book Chapter -
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Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers
Published 2023“…In evolution and ubiquitous computing systems, accelerometer-based human activity recognition has huge potential in a large number of application domains. …”
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Mobile Application: Mobile Assistance for Visually Impaired People - Speech Interface System (SIS)
Published 2023Conference Paper -
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Japanese computer-aided learning package / Siti Nur Hidayah Johar
Published 2005“…NihonGo was developed using incremental evolution through rapid prototyping technique. The development tool used include Visual Basic.NET, Microsoft Access 2003, Adobe Photoshop CS, and Macromedia Flash MX 2004 and so on. …”
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Malaysian pineapple (Yankee) leaf fiber composites damage investigation using non-destructive techniques
Published 2022“…Three types of composites, pineapple leaf fiber composite (P), pineapple leaf fiber/glass fiber composite (GPG), glass fiber composite (GGGG) were evaluated for low velocity impact (LVI) properties. Visual inspection, computed tomography (CT) scan, digital detector array (DDA) radiography and infrared (IR) thermography techniques were applied to detect the damage evolution of the impacted composites. …”
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Overview and future opportunities of sentiment analysis approaches for big data
Published 2016“…SA studies are predicted to be expanded into approaches that utilise scalability, possess high adaptability for source variation, velocity and veracity to maximise value mining for the benefit of the users.…”
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Spatial domain image steganography based on right most digit replacement and parity bit differencing / Mehdi Hussain
Published 2017“…Furthermore, the PBPVD adjustment process would be ideal to exploit in all existing PVD-based techniques to enhance its capacity without degrading the visual quality. …”
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A review on monocular tracking and mapping: from model-based to data-driven methods
Published 2022“…Visual odometry and visual simultaneous localization and mapping aid in tracking the position of a camera and mapping the surroundings using images. …”
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…The Genetic Algorithm is an area in the field of Artificial Intelligence that is founded on the principles of biological evolution. Visualization techniques help in understanding the searching behaviour of Genetic Algorithm. lt also makes possible the user interactions during the searching process. …”
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Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
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Mathematical Modeling of Wellbore Flow Behavior in Multilateral Wells
Published 2012“…The main objective of this project is to develop the computer codes to model the flow behavior in the lateral of multilateral well. …”
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Final Year Project -
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Global Trends of Educational Data Mining in Online Learning
Published 2023“…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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