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Author's Ethic Codes
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Version : 1 Ethic Code for Author Authorship
Originality
Responsibility
Transparency, Limitation and Acknowledgement
Responsible reporting
Misconduct
Use of Language
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+91-9958 726825
|
Version : 1 Ethic Code for Author Authorship
Originality
Responsibility
Transparency, Limitation and Acknowledgement
Responsible reporting
Misconduct
Use of Language
|
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December 11, 2021 The Internet of Things (IoT), which includes household appliances and services, wear abilities, Houses and business structures, manufacturing Medical gadgets, law surveillance, army technology, and other relevant uses are all examples of this, may cover and integrate a range... |
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Short research paper
Cryptocurrencies Price Movement Prediction Using Machine Learning
Ms. Shilpa Nair , Siddharth Nanda November 27, 2023 Crypto currencies are receiving a lot of attention from media due to its importance. Several papers have similar prices but some others don't, but the time complexity of those forecasts is greater, so we use an artificial intelligence-linked algorithm called the least... |
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Conference Paper
Fortifying cloud storage: Safeguarding sensitive information in outsourcing
Priya M , Shylaja V April 28, 2025 In response to the rapid growth of cloud-based services and the increasing storage of sensitive data, a robust biometric authentication system is urgently needed. This project addresses this demand by ensuring secure user identity in cloud computing environments. Our... |
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January 29, 2021 The coronavirus disease is highly infectious and transmittable from human to human. It originated in Wuhan city of China and was detected in December 2019. It spread in Wuhan city quickly. Soon the news of this deadliest virus spreads throughout the world. The news was only... |
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Article
Quality assessment of non-alcoholic beverages sold in Uttarakhand marketplaces
Sakshi Gupta , Deepti Gulati December 08, 2025 Non-alcoholic beverages produced and distributed for commercial purposes are susceptible to microbial contamination. This study aimed to assess microbial loads and identify specific microbes in these beverages. Through a cross-sectional study, 467 samples were randomly... |
