Comparison of the theoretical and statistical effects of the PCA and CNN image fusion approaches Ashi Agarwal, Binay Kumar Pandey, Poonam Devi, Sunil Kumar, Mukundan Appadurai Paramashivan, Ritesh Agarwal, Pankaj Dadheech Handbook of Research on Thrust Technologies Effect on Image Processing, 2023 An image plays a vital role in today's environment. An image is a visual representation of anything that can be used in the future for recollecting or memorizing that scene. This visual representation is created by recording the scene through an optical device like a camera or mobile phone. The image fusion process helps integrate relevant data of the different images in a process into a single image. Image fusion applications are wide in range, and so is the fusion technique. In general, pixel, feature, and decision-based techniques for picture fusion are characterised. This study's main thrust is the application and comparison of two approaches to the image fusion process: PCA (principal component analysis) and CNN (convolutional neural network).The study implemented a practical approach to MATLAB. The result of the study is that CNN is much more favorable in terms of image quality and clarity but less favorable in terms of time and cost.
Review on different types of disturbing noise for degraded complex image Binay Kumar Pandey, Poonam Devi, A. Shaji George, Vinay Kumar Nassa, Pankaj Dadheech, Blessy Thankachan, Pawan Kumar Patidar, Sanwta Ram Dogiwal Handbook of Research on Thrust Technologies Effect on Image Processing, 2023 This chapter provides an analysis of the various kinds of distracting noise that can be seen in degraded complex images, such as those found in newspapers, blogs, and websites. A complicated image that had been deteriorated as a result of noise such as salt and pepper noise, random valued impulse noise, speckle noise, and Gaussian noise, amongst others, was the result. There is an extraordinarily high demand for saving the text that can be read from complicated images that have been degraded into a form that can be read by computers for later use.
A Study on Analysis of Lung Disease Using Machine Learning Approach Poonam Devi, Shrddha Sagar Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2023, 2023 Prognosticate lung diseases have becoming a challenge in front of health department. At time of novel corona period lung was the highest affected part of human body. Few of related research have been done but that research has some issues, so in state-of-the-art of that we need to explore it more to early diagnose lung disease. The objective of this paper is, first to find out the lack of literature, second to explore the state-of-the-art of machine and deep-learning techniques used in literature and third analysis their results. In existing research the main issue is overfitting and underfitting problem. A common taxonomy of fivecharacteristicswerecast-off in almost all reviewed articles: image/text data type, data enhancement, extraction of features, sort of classification techniques and kind of lung ailment. Using present taxonomy of research or using some advancement in existing, Experts can increase the reliability of their automated learning framework to progress their research.
RECENT SCHOLAR PUBLICATIONS
THE EVOLUTION OF SOCIAL MEDIA PLATFORM: AN ANALYTICAL PERSPECTIVE K Poonam devi INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND … , 2025 2025
A Hybrid Machine Learning Model for Lung Disease Prediction P Devi, S Sagar International Conference on Smart Systems: Innovations in Computing, 39-55 , 2023 2023 Citations: 1
A Study on Analysis of Lung Disease Using Machine Learning Approach P Devi, S Sagar 2023 6th International Conference on Contemporary Computing and Informatics … , 2023 2023 Citations: 1
Review on different types of disturbing noise for degraded complex image BK Pandey, P Devi, AS George, VK Nassa, P Dadheech, B Thankachan, ... Handbook of Research on Thrust Technologies’ Effect on Image Processing, 15-24 , 2023 2023 Citations: 5
Comparison of the theoretical and statistical effects of the PCA and CNN image fusion approaches A Agarwal, BK Pandey, P Devi, S Kumar, MA Paramashivan, R Agarwal, ... Handbook of Research on Thrust Technologies’ Effect on Image Processing, 193-205 , 2023 2023 Citations: 4
Prediction of lung disease using machine and deep learning techniques A review PHR poonam devi, Dr. Shrddha Sagar International Journal of Health Science, 7583-7601 , 2022 2022 Citations: 8
Attacks on Cloud Data: A Big Security Issue P Devi International Journal of Scientific Research in Network Security and … , 2018 2018 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Prediction of lung disease using machine and deep learning techniques A review PHR poonam devi, Dr. Shrddha Sagar International Journal of Health Science, 7583-7601 , 2022 2022 Citations: 8
Review on different types of disturbing noise for degraded complex image BK Pandey, P Devi, AS George, VK Nassa, P Dadheech, B Thankachan, ... Handbook of Research on Thrust Technologies’ Effect on Image Processing, 15-24 , 2023 2023 Citations: 5
Comparison of the theoretical and statistical effects of the PCA and CNN image fusion approaches A Agarwal, BK Pandey, P Devi, S Kumar, MA Paramashivan, R Agarwal, ... Handbook of Research on Thrust Technologies’ Effect on Image Processing, 193-205 , 2023 2023 Citations: 4
Attacks on Cloud Data: A Big Security Issue P Devi International Journal of Scientific Research in Network Security and … , 2018 2018 Citations: 2
A Hybrid Machine Learning Model for Lung Disease Prediction P Devi, S Sagar International Conference on Smart Systems: Innovations in Computing, 39-55 , 2023 2023 Citations: 1
A Study on Analysis of Lung Disease Using Machine Learning Approach P Devi, S Sagar 2023 6th International Conference on Contemporary Computing and Informatics … , 2023 2023 Citations: 1
THE EVOLUTION OF SOCIAL MEDIA PLATFORM: AN ANALYTICAL PERSPECTIVE K Poonam devi INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND … , 2025 2025
