Titlebook: Recent Trends in Artificial Intelligence and IoT; First International Rajesh Kumar Tiwari,G. Sahoo Conference proceedings 2023 The Editor(

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On Assaying the T-score Value for the Detection and Classification of Osteoporosis Using AI Learningsteoporosis has become a worldwide health issue. However, early detection is difficult due to the absence of visible symptoms. Therefore, to screen osteoporosis using AI techniques via dental based panoramic radiographs would be cost-effective as well as beneficial. This study investigates the contr

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Evaluation of Healthcare Data in Machine Learning Model Used in Fraud Detectiong a machine learning model, get evaluation from different kind of techniques, make enhancement and progress until we accomplish a expected efficiency. Feedback metrics describe the work of a machine learning model. Critical form of feedback metrics is their potential to segregate among machine learn

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A New Approach to Heart Disease Prediction Using Clustering and Classification Algorithmsy are found on the understanding and knowledge of medical professionals instead of knowledge of a mass of data invisible in a record. Medical professionals must undergo continuous training to make sound clinical decisions. They use basic knowledge, current research and work experience. These exercis

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A Novel Framework for?Satellite Image Denoising and?Super Resolution Using CNN-GANapplications of Deep Learning and other methodologies have made significant achievements in this field. Generative Adversarial Network advancement takes researcher attention towards this area due to results obtained by GAN. In this paper, We focused on the speckle noise denoising and super-resolutio

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Deep Learning Based Enhanced Text Recognition System of recognizing objects, photos, messages, observations, and other structures. The underwhelming performance of the current scene recognition algorithms has motivated many researchers in the computer vision field in recent years, yet scene text recognition still need improvement. This study offered

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Meta-transfer Learning for Contextual Emotion Detection in Face Affirmationy, people will show seven distinct feelings (happy, angry, surprised, sad, disgusted, fearful, and neutral). Humans communicate their feelings via words, body language, and facial expressions. Humans’ ability to reveal inner thought processes via facial expressions is crucial to studying human behav

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Hand-Written Devanagri Character Recognition Using Convolutional Neural Network in Python with Tensoies. One of the main goals of AI is to enable machines to see, understand, and read text. Although much effort has been done in this area, the intricacy of the problem has not yet been fully resolved. A good text recognizer can be used for a wide range of practical and commercial purposes, such as a

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