Titlebook: Applied Computing for Software and Smart Systems; Proceedings of ACSS Rituparna Chaki,Nabendu Chaki,Khalid Saeed Conference proceedings 20

Mindfulness

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灯泡

Immunoglobulin

Stephen Cranefield,Frank Dignumases and conditions, including heart failure, vision loss, urinary tract infections, and many more. Machine learning algorithms have been employed by the medical community to improve the accuracy of disease diagnosis. The purpose of this research is to evaluate the efficacy of several machine learni

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epicondylitis

Cleber Jorge Amaral,Jomi Fred Hübnerudy implements prechosen algorithms in a mobile application to test their accuracy in predicting the level of glycemia. The research also investigates the impact of limited input data on algorithm performance and mobile device applications. The study is divided into two main parts. The first part br

打谷工具

Implementing Ethical Governors in BDI,One of the major challenges faced during the pandemic was to differentiate between chest infections resulting from COVID-19 and pneumonia. Artificially intelligent image classifiers were unavailable due to the absence of image datasets for COVID-19. To resolve this issue, we propose the use of Gener

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魅力

Samuel H. Christie V,Amit K. Chopraoses a novel solution to engage reviewers proactively with the help of incentives. The solution broadly aims to build trust among the stakeholders participating in the research community. Blockchain technology is used for the transparency and immutability features that it provides. The blockchain-ba

Feigned

Protocol-Based Engineering of Microserviceser proposes a novel framework for analyzing source codes to generate natural language summaries, answer complex user queries by reasoning, and even support syntactic error checking and code conversion to other languages. The framework incorporates transformer-based models and knowledge graphs to und