Titlebook: Emerging Trends in Data Driven Computing and Communications; Proceedings of DDCIo Rajeev Mathur,C. P. Gupta,Neha Yadav Conference proceedin

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membrane

GRIPE

Post-Stroke Readmission Prediction Model Using Machine Learning Algorithms,ortality in India. The patients who are already affected with the stroke have the chances of readmission. Readmissions after stroke leads to several problems to the patients and to the hospitals. The problems for patients can be anything like medical costs, health risks, any disabilities, or mortali

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A Review Paper on Sign Language Recognition Using Machine Learning Techniques, people. These individuals locally can‘t speak with others without any problem. There are numerous manners by which individuals with incapacities attempt to convey. Sign language is one of the most natural and sensible ways for the disabled. Since deaf people cannot speak like normal people, they of

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Deep Learning Methods for the Prediction of Chronic Diseases: A Systematic Review,ensional data to find the most optimal settings. Thus, DL has been effectively applied in many diverse fields in image and speech recognition, visual art, natural language processing, and bioinformatics. Other than this, lots more are still needed to be investigated. This paper systematically review

Induction

Cyberinfrastructure for Advanced Research with High Performance Edge Computing,est-response processes and computation on real-time data. And this data requires to store as historical data for future reference and data analysis. For the computational work with intelligent and dynamic algorithm processes in communication networks, the infrastructure requires many scientific and

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A Comparative Analysis of ML Stratagems to Estimate Chronic Kidney Disease Predictions and Progressney Disease is a public health matter all over the world, and it impacts the mortality rate drastically. Early diagnosis is a key factor to reduce the risk of kidney disease progression. This study is an effort toward analyzing the machine learning methods used for making predictions about chronic k