Parallel faithful dimensionality reduction to enhance the visualization of remote sensing imagery

Najim, Safa A.; Najim, Alaa A.; Lim, Ik Soo; Alkaltham, Mohammed Saeed

doi:10.1016/j.neucom.2015.05.071

Cited by 6 publications

(5 citation statements)

References 26 publications

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“…A functional description of this process can deepen understanding of the steps comprising the visualization process [12][13][14][15]. The visualization process in Equation ( 1) can be visualized as a function Vis that maps between the set of all possible types of raw input data, known as D I , and the set of created images, known as V [16]:…”

Section: Objectives Of This Workmentioning

confidence: 99%

Visualizing and Evaluating Microbubbles in Multiphase Flow Applications

Najim,

Meerakaviyad,

Pun

et al. 2024

Fluids

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Accurate visualization of bubbles in multiphase flow is a crucial aspect of modeling heat transfer, mixing, and turbulence processes. It has many applications, including chemical processes, wastewater treatment, and aquaculture. A new software, Flow_Vis, based on experimental data visualization, has been developed to visualize the movement and size distribution of bubbles within multiphase flow. Images and videos recorded from an experimental rig designed to generate microbubbles were analyzed using the new software. The bubbles in the fluid were examined and found to move with different velocities due to their varying sizes. The software was used to measure bubble size distributions, and the obtained results were compared with experimental measurements, showing reasonable accuracy. The velocity measurements were also compared with literature values and found to be equally accurate.

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Section: Objectives Of This Workmentioning

confidence: 99%

Visualizing and Evaluating Microbubbles in Multiphase Flow Applications

Najim,

Meerakaviyad,

Pun

et al. 2024

Fluids

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“…The following questions are examined as a result of the findings: Does this visualization aid in the discovery of new information while analyzing vast amounts of data? [2] What's the connection between the original and converted data points? How can the original data be retained in a predicted environment?…”

Section: Data Visualizationmentioning

confidence: 99%

“…Reliable dimensional reduction algorithms are very well promising nonlinear methods for visualizing various data sets, such as medical pictures [1]. Dimensionality reduction (DR) is a strategy for visualizing high-dimensional data sets by projecting them into a lesser environment where they may be directly viewed [2]. Dimensionality reduction (DR) is a crucial stage in data pre-processing for visualization and knowledge discovery, and it's utilized for a variety of applications including information visualization, noise reduction, and imaging as seen in Fig 1 [2].…”

Section: Introductionmentioning

confidence: 99%

“…Dimensionality reduction (DR) is a strategy for visualizing high-dimensional data sets by projecting them into a lesser environment where they may be directly viewed [2]. Dimensionality reduction (DR) is a crucial stage in data pre-processing for visualization and knowledge discovery, and it's utilized for a variety of applications including information visualization, noise reduction, and imaging as seen in Fig 1 [2]. Viruses that infect the respiratory system are an example of medical data.…”

Section: Introductionmentioning

confidence: 99%

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Software engineering's role in visualizing large data as medical datasets

Sebti

Najim²

2022

JACST

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Although both 'information visualization' and â€˜software engineering visualization' are data collection operations, their motivations are clearly distinct. The visualization of software engineering integrates the original design modules and identifies the connections between the main components. The purpose of software engineering is to develop high-quality programs and create appropriate work. The goal of visualization is to get insight into many components of a process we are interested in, such as a scientific simulation or a real-world process, using interactive graphs. Medical imaging techniques are used to detect and comprehend illness progression in the human body. To be able to make a diagnosis concerning it. In health centers and hospitals, managing vast collections of medical pictures is a challenge. Because the image database has grown in size over the last year, meaningful information is needed to assist the specialist in assessing the patient's condition. In this review, we will highlight some of the techniques that we use in data analysis.Â Â Â

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“…Keep in mind that while finite groups can be isomorphic or non-isomorphic, isomorphic power graphs on finite abelian groups require that the groups be isomorphic [9]. The power graph shows a number of fascinating results [10][11][12] .For graph theory has many researches in large fields and wide applications see [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%