Search Results - (( based generation method algorithm ) OR ( data visualization using algorithm ))
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1
Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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Thesis -
2
Tag clouds algorithm with the inclusion of personality traits
Published 2015“…Tag clouds have emerged as the latest technique in information visualization using text analysis methods in a variety of situations to interpret unstructured data types. …”
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Thesis -
3
E-Hadith DV: Hadith scriptures in Syafie Madhhab retrieval using data visualization / Nor Faezahtul Salme Norhisam
Published 2020“…Therefore, a progressive web-based information retrieval visualization system that utilizes Term Frequency-Inverse Document Frequency (TFIDF) algorithm and data visualization are suggested to solve these problems. …”
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4
B-spline curve fitting with different parameterization methods
Published 2020“…After generating control points, distance between the generated and original data points is used to identify the error of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
5
A Multidimensional Search Space Using Interactive Genetic Algorithm
Published 2010“…The proposed work is based on the use of objective function for assigning fitness, visualization of multidimensional search space and interaction of user after several generations. …”
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6
Damage visualization based on frequency shift of single-mode ultrasound-guided wavefield
Published 2022“…Overall, the results show that frequency analysis can detect the damage four times faster and the algorithm uses two-dimensional calculation instead of conventional three-dimensional of VTWAM method.…”
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Article -
7
Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes
Published 2023Conference Paper -
8
EEG-based brain source localization using visual stimuli
Published 2016“…According to the spatial resolution provided, the algorithms are categorized as either low resolution methods or high resolution methods. …”
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9
Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python
Published 2022“…Graph coloring has a wide range of applications and is commonly used to solve scheduling issues. In this article, the researchers design an algorithm and apply it to a computer program (Python) to solve graph coloring and to visualize the variation of exam scheduling modeling at Binus University in graphs based on the Bitwise Graph Coloring Algorithm. …”
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10
Subspace Techniques for Brain Signal Enhancement
Published 2009“…Next, the validity and the effectiveness of the algorithms to detect the P100's (used in objective assessment of visual pathways) are evaluated using real patient data collected from a hospital. …”
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Book Section -
11
Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure
Published 2019“…This study proposing an enhance bibliographic data retrieval and visualization using hybrid clustering method consists of K-harmonic mean (KHM) and Spectral Algorithm and eigenvector centrality measure. …”
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Article -
12
Optimization of the Jakim halal logo placement on qr code using enhanced genetic algorithm
Published 2018“…The thesis proposed a method to place a logo on top of the QR code, embedded with high data capacity, using Genetic Algorithm (GA) search technique to find appropriate size and location so the QR code can be decoded by various QR code decoders. …”
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Thesis -
13
Customer mobile behavioral segmentation and analysis in telecom using machine learning
Published 2021“…The study applied analytic pipeline that involved five stages i.e. data generation, data pre-processing, data clustering, clusters analysis, and data visualization. …”
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Article -
14
Determining number of clusters using firefly algorithm with cluster merging for text clustering
Published 2015“…Such a scenario requires a dynamic text clustering method that operates without initial knowledge on a data collection.In this paper, a dynamic text clustering that utilizes Firefly algorithm is introduced.The proposed, aFAmerge, clustering algorithm automatically groups text documents into the appropriate number of clusters based on the behavior of firefly and cluster merging process. …”
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Book Section -
15
Multi-trial extended subspace-based approach for visually evoked potentials (VEPs) extraction
Published 2013“…In the second experiment, the two algorithms are used to estimate the latency of P100 for objective evaluation of visual pathway conduction. …”
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Citation Index Journal -
16
Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins
Published 2024“…Additionally, to predict the flood depth, a trained Decision Tree (DT)-based sorting algorithm is used in this method. This DT-based model takes 4 random rainfall data to train and predict the flood depth of the study area…”
Book chapter -
17
Text to Image Generation Using Machine Learning
Published 2024“…In order to solve this issue, we carried out a research work where we concentrated on developing the generative adversarial network (GAN), a deep learning-based architecture. …”
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18
Using artificial intelligence search in solving the camera placement problem
Published 2022“…The chapter also carries out an analytical review of three main searching algorithms namely, generate and test, uninformed search, and hill climbing search algorithms. …”
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Book -
19
The development of level of detail (LOD) technique in 3D computer graphics application
Published 2009“…During run-time, the visible mesh is rendered based on the distance criterion by extracting the required data from the previously generated octree structure. …”
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Monograph -
20
Parallel system for abnormal cell growth prediction based on fast numerical simulation
Published 2010“…The paper focuses on a numerical method for detecting, visualizing and monitoring abnormal cell growth using large-scale mathematical simulations. …”
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Conference or Workshop Item
