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Titlebook: Congress on Intelligent Systems; Proceedings of CIS 2 Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 2021 The Ed

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楼主: introspective
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https://doi.org/10.1007/978-3-7643-7842-4seamless ways of communicating with monitoring devices as marine buoys. It is interesting to have wireless communication in situ, but there is no known marine monitoring system that uses this technology as a means of extracting data over the sea. Therefore, this study is based on finding the maximum
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On Transport as a Cause of Conflict,vantages of fog computing can also be used to collect and process data in new mobile IoT systems. It is a challenging task because these systems contain multiple mobile devices that generate huge amounts of heterogeneous data. In many cases, the data is redundant. The same data can be sent several t
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On Transport as a Cause of Conflict,sets forth a new multi-objective teaching–learning-based optimization (short for MTLBO) for the issue of automotive fuel consumption. The vehicle’s fuel consumption is related to the cost of traveling by gasoline and the current traffic conditions, e.g., congestion, roads. The least use of fuel and
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https://doi.org/10.1007/978-3-319-79054-1ered. The routing becomes more complex due to number of nodes in the network increases. Sensor nodes in WSNs are constrained in processing power and batteries. These constraints have been enhanced by our proposed method to solve the routing problem i.e., data balancing or load balancing reduces the
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Comparison of Membrane Permeation Models,ke Alzheimer’s is very very significant. It is an era of smart intelligence wherein the machine efficiently and smartly visualizes the given input and produces a valuable output. Thus, the objective of this paper is to classify brain images into two broad classes, namely Alzheimer’s and normal contr
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https://doi.org/10.1007/978-1-4757-3518-5erministic because of lack of data availability and uncertainty of system failures. Failure rate is considered as a fuzzy number to incorporate the uncertainty of equipment failures. In this paper, interval type-2 fuzzy systems (IT2FS) are proposed to handle the twofold uncertainty of equipment fail
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