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Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Saptarsi Goswami,Inderjit Singh Barara,Alfred M. B Conference proceedings 2

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https://doi.org/10.1007/978-3-662-52952-2Therefore correct prediction of severe thunderstorm has important significance. Here in this study Support Vector Machine (SVM) has been applied on cloud imageries for the prediction purpose. Colour is one of the most important features of image. Here colour has been considered as only feature for t
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Cognitive Pearls in General Surgeryo are interested in exploring research publication records based on standard scientific categories. This urges the need for a context-aware, automatic classification of text documents into standard scientific categories. Document classification is a significant application of supervised learning whi
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https://doi.org/10.1007/978-1-4939-1850-8ments and health policymakers make appropriate decisions and impose restrictions to reduce the prevalence of tuberculosis, efficient forecasting methods are required to be applied. Machine learning and deep learning techniques are commonly used due to their abilities in producing accurate results. I
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Peritoneum, Omentum, and Internal Hernias,ant to identify input process parameters for maintaining stable and continuous trouble-free operation. A priori modelling and solution of governing phenomenological equations to achieve this requires tedious computational efforts. As an alternative in this work we have employed Machine learning to b
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https://doi.org/10.1007/978-1-4939-1850-8ental change. A significant supporter of these emanations is the transport sector. This sector alone is assessed to represent about 16.2% of the absolute worldwide CO. outflows. The focal point of this paper is to examine and audit diverse AI and ML techniques that can be utilized to decrease these
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Artificial Intelligence Models of Emotionry. Along with strengthening and boosting the economies worldwide, this sector is one of the major contributors to climate change. The amount of emissions generated by the energy sector have accelerated this disastrous change. India is advancing as a developing nation with incredible speeds and its
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