Titlebook: Inventive Communication and Computational Technologies; Proceedings of ICICC G. Ranganathan,Joy Chen,Álvaro Rocha Conference proceedings 20

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Cardiovascular Disease Classification Using Different Algorithms,llenge and also the inaccurate prediction may lead to fatality. Contemporary prediction techniques like machine learning have been a useful approach in predicting these attacks with the help of the healthcare industry. In this paper, different methods are suggested to find a good-sized feature set b

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Shruti Ajithkumar Panicker,Rahul Vinod Kumar,Aishwarya Ramachandran,S. Padmavathionly draws conclusions on static or average operation conditions during an usual annual time period. For analyzing the aspect of dynamics in the IT to infrastructure power relation, we propose two new metrics. First, the power variability (PVar). It simply indicates the relative rates and heights of

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A. Robert Singh,Suganya Athisayamani,A. Sherly Alphonseonly draws conclusions on static or average operation conditions during an usual annual time period. For analyzing the aspect of dynamics in the IT to infrastructure power relation, we propose two new metrics. First, the power variability (PVar). It simply indicates the relative rates and heights of

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Nazmul Hasan,Tanvir Anzum,Nusrat Jahana center environments. The method is based on job workload descriptions by task graphs with generally-distributed task execution times and task scheduling under consideration of prescribed precedence and synchronization constraints. For the analytic performance evaluation, task graphs are restricted

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J. E. Raghavendra Prasad,M. Senthil,Akhil Yadav,Paras Gupta,K. S. Anushaa center environments. The method is based on job workload descriptions by task graphs with generally-distributed task execution times and task scheduling under consideration of prescribed precedence and synchronization constraints. For the analytic performance evaluation, task graphs are restricted