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Titlebook: Intelligent Computing for Sustainable Development; First International S. Satheeskumaran,Yudong Zhang,Danilo Pelusi Conference proceedings

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Manoj Ishi,J. B. Patil,Nitin Patilbürgerlich gewordener Gogol“, wobei denn „freilich die Dimension des Religiösen, wenn auch nicht verloren, so doch in den Hintergrund gedrängt“ sei.. Für die Prüfung dieser Frage wird allerdings der Hinweis nicht genügen, daß Gontscharov selbst „ein warmes religiöses Gefühl sein Leben lang bewahrt“
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Jannam Sadana,Mirjumla Sumalatha,Shaik Jahedas zu seinem ersten Erscheinen Anfang 1869 zwanzig Jahre umfaßt. Wie er veröffentlicht wurde und seither vorlag, wurde er genommen . Seltsam genug; aber noch viel seltsamer machen es die äußeren Umstände. Das ist in der Weltliteratur freilich nicht singulär. Auch der . entstand durch Jahrzehnte. Ähnl
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Transfer Learning Based Bi-GRU for Intrusion Detection System in Cloud Computing,of cloud computing (CC). In this study, deep feature guided optimized bidirectional Gated Recurrent Unit (Bi-GRU) neural network based transfer learning (TL) technique is proposed for enhancing cloud security. Initially, the min-max normalization process is performed on input traffic data. Further,
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Text to High Quality Image Generation Using Diffusion Model and Visual Transformer,, and model performance. This paper addresses these concerns by investigating the application of diffusion models for image creation—a novel approach hinging on the diffusion process. Unlike conventional methods, this technique progressively introduces controlled noise to images until the desired co
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Bequeathing the Blockchain Wallet in Public Blockchain Securing Wallet Sensitive Data, in more than millions. Considering blockchain wallet which provide access to crypto-currency as property right, this research is focused on wallets whose user dies and the crypto-currency and sensitive data hold by the user get blocked after the sudden demise of the blockchain wallet user. We propo
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Prediction of Diabetic Retinopathy Using Deep Learning,discovery and appropriate treatment. With image segmentation, feature extraction, and binary classification, an autonomous diabetic retinopathy detector has been suggested. Deep learning techniques like CNN and ResNet is used to implement all functions relevant to the automatic detection of diabetic
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Maritime Vessel Segmentation in Satellite Imagery Using UNET Architecture and Multiloss Optimizationsing image analysis. The primary objective of this study is to enhance ship detection accuracy in satellite imagery using a novel multi-loss deep learning architecture. The following paper presents a novel multi-loss deep learning model for detecting ships in satellite imagery. The proposed model u
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A Blockchain-Based Ad-Hoc Network to Provide Live Updates to Navigation Systems, of the network include user mobile devices and IoT gadgets such as security cameras, street lights, and so on. The proposal allows users to share real-time data on crowd, road type, and other relevant information with the navigation system through a decentralized data sharing platform. The platform
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