Rough Set Based Ad Hoc Network

Chowdhuri, Sumana; Roy, Payel; Goswami, Srijan; Azar, Ahmad Taher; Dey, Nilanjan

doi:10.4018/ijssmet.2014100105

Cited by 26 publications

(10 citation statements)

References 20 publications

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“…Image processing approaches that include Deep Learning aid in the detection of cancer utilizing image processing technologies (Azar et al, 2018b;Chowdhuri et al,2014a;Inbarani et al, 2015a;Mjahed et al, 2020;Kumar et al, 2018). The optimization of complicated, high-dimensional problems is the issue that the hybrid technique combining Genetic Algorithm (GA) and Arithmetic Optimisation Algorithm (AOA) seeks to address.…”

Section: Problem Formulation and Motivationmentioning

confidence: 99%

Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images

Nivetha,

Hannah Inbarani

2023

International Journal of Sociotechnology and Knowledge Development

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The difficulty in predicting early cancer is due to the lack of early illness indicators. Metaheuristic approaches are a family of algorithms that seek to find the optimal values for uncertain problems with several implications in optimization and classification problems. An automated system for recognizing illnesses can respond with accuracy, efficiency, and speed, helping medical professionals spot abnormalities and lowering death rates. This study proposes the Novel Hybrid GAO (Genetic Arithmetic Optimization algorithm based Feature Selection) (Genetic Arithmetic Optimization Algorithm-based feature selection) method as a way to choose the features for several machine learning algorithms to classify readily available data on COVID-19 and lung cancer. By choosing just important features, feature selection approaches might improve performance. The proposed approach employs a Genetic and Arithmetic Optimization to enhance the outcomes in an optimization approach.

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Section: Problem Formulation and Motivationmentioning

confidence: 99%

Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images

Nivetha,

Hannah Inbarani

2023

International Journal of Sociotechnology and Knowledge Development

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“…However, on textured areas (roughness), normal rough vary more meaningful. (Chowdhuri & Roy & Goswami & Azar & Dey, N. 2014).…”

Section: D Watermarking Perception Metricmentioning

confidence: 99%

“…dynamic meshes), which may be associated with colour information or texture maps. For its transmission, protection, visualization or manipulation (Chowdhuri, Chakraborty, Dey, Azar, Megeed Salem, Chaudhury & Banerjee 2014;Chowdhuri, Roy, Goswami, Azar, Dey, 2014), this 3D content is subject to a wide variety of processing operations such as compression, filtering, simplification, watermarking and so forth. These operations introduce distortions which may alter the visual quality of the 3D content; this is a critical issue, as these processing operations are often targeted at humancentered applications with viewing as the intended use.…”

Section: Introductionmentioning

confidence: 99%

Perceptual Metrics Quality

Elloumi

Kacem²,

Nilanjan

et al. 2017

International Journal of Service Science, Management, Engineering, and Technology

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A 3D mesh can be subjected to different types of operations, such as compression, watermarking etc. Such processes lead to geometric distortions compared to the original version. In this context, quantifying the resultant modifications to the original mesh and evaluating the perceptual quality of degraded meshes become a critical issue. The perceptual 3D meshes quality is central in several applications to preserve the visual appearance of these treatments. The used metrics results have to be well correlated to the visual perception of humans. Although there are objective metrics, they do not allow the prediction of the perceptual quality, and do not include the human visual system properties. In the current work, a comparative study between the perceptual quality assessment metrics for 3D meshes was conducted. The experimental study on subjective database published by LIRIS / EPFL was used to test and to validate the results of six metrics. The results established that the Mesh Structural Distortion Measure metric achieved superior results compared to the other metrics.

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“…Rough set theory is an approach to deal with vagueness and uncertainty. Chowdhuri et al [5] presented a review for Rough set based Ad Hoc network. Karaa et al [6] proposed a novel approach for document clustering MEDLINE based on genetic algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

Contemporary Layout’s Integration for Geospatial Image Mining

Shaikh¹,

Li²,

Khan³

2016

ijacsa

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Abstract-Image taxonomy and repossession plays a major role in dealing with large multimedia data on the Internet. Social networks, image sharing websites and mobile application require categorizing multimedia items for more efficient search and storage. Therefore, image classification and retrieval methods gained a great importance for researchers and companies. Image classification can be performed in a supervised and semisupervised manner and in order to categorize an unknown image, a statistical model created using relabeled samples is fed with the numerical representation of the visual features of images. Analysis of the keywords surrounding the images or the content of the images alone has not yet achieved results that would allow deriving precise location information to select representative images. Photos that are reliably tagged with labels of place names or areas only cover a small fraction of available images and also remain at a keyword level. State of the art of content based retrieval has been analyzed in earth perception image archives concentrating on complete frameworks indicating guarantee for the operational implementation. The methods are taken into consideration, concentrating specifically on the stages after extraction of primitive features. The solutions conceived for the issues such as synthesis and simplification of features, semantic labeling and indexing are reviewed. The approaches regarding query execution and specification are assessed where conclusions are drawn in the research of earth observation mining.

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Rough Set Based Ad Hoc Network

Cited by 26 publications

References 20 publications

Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images

Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images

Perceptual Metrics Quality

Contemporary Layout’s Integration for Geospatial Image Mining

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