Titlebook: Machine Vision and Augmented Intelligence—Theory and Applications; Select Proceedings o Manish Kumar Bajpai,Koushlendra Kumar Singh,George

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Performance Analysis of Machine Learning-Based Breast Cancer Detection Algorithms,g other body parts too. The probability of survival is high only if the tumor is detected in an early stage, the higher the stage, lower are the chances of survival of the patient. The presence of a minor tumor could be missed by the human eye, but the machine learning algorithms scan mammograms dee

Bernstein-test

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Multiagent-Based GA for Limited View Tomography,ications, i.e., engineering as well as medical application. This study presents a limited view reconstruction method via a multiagent-based genetic algorithm (MAGA). Here, we use dynamic crossover and mutation rates. This study uses two dynamic crossover and mutation rates models, namely DHM/ILC and

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,A Transfer Learning-Based Multi-cues Multi-scale Spatial–Temporal Modeling for Effective Video-Baseeo-based CCDE approaches utilize spatial–temporal modeling for the CCDE. However, these approaches fail to address some of the major issues, such as scale variation because of perspective distortion in the frame and volume of frames and minimization of background influence during spatial–temporal mo

Mosaic

Modeling and Predictions of COVID-19 Spread in India,it the authorities to modify their plan and guidelines accordingly. Researchers worldwide are using different outbreak prediction models for COVID-19 to make informed decisions and implement applicable control measures. However, we should not use epidemiological models in India as they do not provid

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1876-1100 a reference guide for researchers and practitioners in acadThis book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during

Entropion

A Review on Digital Watermarking-Based Image Forensic Technique,ith a comprehensive view of different aspects of image forensics based on digital watermarking. This survey will enable researchers to apply efficacious watermarking techniques to verify the authenticity and integrity of digital images.