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Machine learning-based heart disease diagnosis is a rapidly evolving area of research that aims to improve the accuracy and efficiency of cardiovascular disease diagnosis using artificial intelligence (AI) algorithms. The use of machine learning models trained on medical imaging and electronic health record (EHR) data has shown promising results in predicting and diagnosing heart disease, as well as identifying risk factors and potential treat...

High-quality code comments support developers in software maintenance and program comprehension tasks. However, the semi-structured nature of comments, several conventions to write comments, and the lack of quality assessment tools for all aspects of comments make comment evaluation and maintenance a non-trivial problem. To understand the specification of high-quality comments to build effective assessment tools, we emphasize on acquiring a mu...

Graphene and grapheme nanoribbons are new generation single atom thick carbon materials with outstanding electronic, chemical and mechanical and optical properties different from other allotropes of carbon. Due to these highly desirable properties numerous applications of grapheme and grapheme nanoribbons exists. Herein we have synthesized grapheme from graphite flakes and grapheme nanoribbons from multiwalled carbon nanotubes using wet chemic...

The book comprises of theoretical study of Structural, electronic as well as optical properties of Hetero-graphenes (Graphene substitutes with atoms of other elements). Interesting new features in structural, electronic and optical behavior of substitutionally doped graphene have been found.The work motivates further experimental investigations in this regard which validates the suggestion of application of graphene in various fields.