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

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Quasistatic Computation and Thermodynamic Approachally difficult in both directions. A practical example is aging—which is obvious in the forward direction but very difficult to reverse. The cause of reversibility can be classified under two types—involvement of dissipative force and non-quasistatic processes. While processes involving dissipative

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Augmentation of Mixing Quality and Its Analysis Based on Electrode Shape Diversity in Digital Microfith highly reconfigurable and scalable technology and the capability of handling nano- or microliter volume of discrete droplets is identified as Digital Microfluidic Biochip (DMFB). We intend to use regular hexagonal-shaped electrodes instead of traditional square electrodes to furnish the existing

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Diabetes Syndrome Prophecy Using Machine Learningases 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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A Novel Methodology of Air Pollution Detection Sensor Network Design in Urban Areas on the Example o areas. In this paper, the authors would like to present their own, novel method for air pollution detection sensor network placement design. It can be used not only to accurately detect exceeded contamination factors but also to prevent such situations. The proposed solution was not only designed b

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Predicting of Hypo- and Hyperglycemia in Patients with Type 1 Diabetes with Limited Dataudy 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

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Xify: GAN-Based Classifier for COVID-19 and Pneumonia X-Ray ImageOne 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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CoDescribe: An Intelligent Code Analyst for Enhancing Productivity and Software Qualityer 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