Titlebook: Distributed Computing and Intelligent Technology; 18th International C Raju Bapi,Sandeep Kulkarni,Sathya Peri Conference proceedings 2022 S

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Chiara Faggiolani,Giovanni Solimineiprocessor systems that can help in reducing the cost, space, weight, time, and power consumption. There is significantly less work done in the literature to design a global scheduling algorithm for multiprocessor mixed-criticality systems. In this paper, we propose a global scheduling algorithm bas

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https://doi.org/10.1007/978-3-319-68554-0arket. And this rapidly growing need gives rise to consider two main criteria namely reliability and availability to sustain growing demand. To ensure SLAs, and gain customer confidence, cloud architectures use fault tolerant strategies. The work in the literature towards fault tolerant cloud has no

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The Evaluation of Social Policiesster, a surge of vehicles from dense residential areas may simultaneously move towards the same nearest safe shelter following a shortest path for each individual vehicle, thereby often leading to congestion and resulting in increased evacuation time. In this paper, we consider time-optimal traffic

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Plausible and Implausible Hypothesesduals are affected by Parkinson’s disease in India per year. Due to the progressive nature of the disease, the symptoms generally start gradually and are barely noticeable; with symptoms that can start from normally unnoticeable shaking of a hand to noticeable speech and writing changes to even wors

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Modern AI/ML Methods for Healthcare: Opportunities and Challengesion and high influx of biomedical data have led to an unparalleled success of Machine Learning systems in healthcare, which is perceived to be a possible game changer for ‘healthcare to all’. This article gives an account of some of the current applications of AI solutions in the medical domains of