Titlebook: Deep Sciences for Computing and Communications; Second International Annie Uthra R.,Kottilingam Kottursamy,Vimaladevi M Conference proceedi

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1865-0929 h informatics; Web Application for Connected Communities; Intelligent Insights using Image Processing; Precision Flood Prediction Models.             .           .           . .978-3-031-68904-8978-3-031-68905-5Series ISSN 1865-0929 Series E-ISSN 1865-0937

Incisor

Annie Uthra R.,Kottilingam Kottursamy,Vimaladevi M

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NAV

Digital Identity System for Real World Asset Using Blockchains that exist on a blockchain and cannot be duplicated. So only if anybody owns the NFT, the jewelry belongs to them. Even if the jewelry is lost or stolen, a public address will be needed to sell the jewelry so nobody can’t sell it without the jewelry owner’s knowledge. In every piece of jewelry, th

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CRANK

A Secure Persistent Health Care System Using Blockchain Smart Contracttitioners (physicians), and patients employing a blockchain system built upon the Ethereum protocol. This architecture is based on Ethereum, which offers protection to the patients’ vital clinical data. This architecture, which is based on Ethereum, offers a safe and adaptable platform for smart hea

得罪

Multimodal Fake News Detection Using Deep Learning Techniquesto determine if the news is authentic or false. The most of the model only examines dataset of fake news in english to determine if it is true or fake, but CB-Fake approach is expanded to incorporate datasets of fake news in other widely used languages, such as Tamil. Robustly Optimized BERT Pre-tra

Outshine

Maritime Human Drowning Detection Using Intelligent Deep Learning Algorithmthis paper, deep learning model is developed to identify a drowning person. The network architecture used for creating the deep learning algorithm is Convolutional Neural Networks (CNN). Conv2dLSTM is used as a convolution layer in the CNN architecture that proves to have better efficiency for the p

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不满分子

Fusion Emotion Prediction Using the CEFER Algorithme, a combination of 50 emotions is recognised as mixed emotions, 13 of which are newly developed. This work focuses on the recognition of basic and compound emotions using a number of databases, including CFEE (Compound Facial Expressions of Emotion), naturally occurring affective faces (RAF) etc. A