Titlebook: Sustainable Computing; Transforming Industr Shashank Awasthi,Goutam Sanyal,Rama Kant Book 2023 The Editor(s) (if applicable) and The Author

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Automated Detection of Covid-19 Waves with Computerized Tomography Scan Using Deep Learning,s used to train an image-level classifier that labels input image as common pneumonia or Covid pneumonia. These Ensemble models of DMIL with Mask R-CNN show an accuracy of 98.96%. These advantages make our model an efficient tool in the screening of Covid-19.

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Evolution of Hadoop and Big Data Trends in Smart World,hich is expanding exponentially. The need of the hour is to address new areas like health, contactless personal assistants, and single window systems. Hadoop has become almost synonymous with Big Data, leading to social analytics and Algorithmic Approach to Business in the future.

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Methods and Application of 3D Printing in Implantable Medical Devices,als, ceramics, etc. are very much different from conventional materials. The properties, chemical composition, melting point, etc. of biomaterials need a thorough study. Depending on the characteristics of 3D printing technology, the 3D printed implantable medical device development trend is summarized in this chapter.

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Encrypted, Compressed, and Embedded Text in Audio WAV File Using LSB Audio Stenography,d method. This scheme eliminates the host audio embedding distortion. This method helps to adjust the remaining bits to eliminate substantial discrepancies between the cover audio and the embedded audio. We evaluated the system using metrics such as peak signal-to-noise ratio and mean squared error.

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Extraction Techniques and Evaluation Measures for Extractive Text Summarisation,tion. Text mining principles are one of the most widely used techniques for this aim. The size of the summarised text will be smaller than the original. We have attempted to highlight numerous ways of text summarising utilising an extractive approach, as well as various metrics for evaluating the resulting summary in this paper.