Titlebook: Advances in Computing and Intelligent Systems; Proceedings of ICACM Harish Sharma,Kannan Govindan,Wael M. El-Medany Conference proceedings

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Program verification using dynamic logic,ile source code containing statements from multiple programming languages. Data structures in different languages can be used in a single language known as metalanguage. In this paper, optimization techniques on string objects for a metalanguage developed using C++ and Java are presented. It offers

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jealousy

https://doi.org/10.1007/BFb0026291n process planning, parameter selection, toolpath generation, cutting tool selection, and preparation of part programs. Optimization of these aspects has been an area of research for a long time. Toolpath optimization is found to be a less explored field in this regard. This research is conducted wi

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D. Cantone,V. Cutello,A. Policritinalysis and prediction of quality of air. PM 2.5 forms a major component of air pollution. This work addresses various machine learning algorithms to predict levels of PM 2.5, which are abundant in the atmosphere. We transformed problem into a binary classification with two classes being moderate an

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Klaus Ambos-Spies,Dongping Yangrs, networking services, software’s, etc. The Cloud resource service provider ensures resource availability via the Internet with the help of web-based applications and tools. Or in other words, it provides a simple way to take advantage of the Computing Services available on Cloud via the internet.

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https://doi.org/10.1007/978-3-642-40874-8f Combinatorial Optimization whereas in traditional TSP, only unique objectives are optimized. In this research work, the Multi-objective Traveling Salesman Problem is considered. The multi-objective TSP is an expanded instance of TSP. In MOTSP, more than one objective function is determined and opt

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Christian Pieter Hoffmann,Stephan Russ-Mohla PID controller are then used to regulate the speed of a DC motor and to control the automatic voltage regulator (AVR) system. The TLBO searches for the optimal solution on the basis of effective class teaching performance. The efficacy of the optimized PID controller is evaluated while comparing t

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https://doi.org/10.1007/978-3-319-59954-0in a variety of domains and in all the phases of the software development life cycle process. The journey of machine learning in software engineering lays down the time lines and milestones to be achieved in the intelligent automation process of software development. From designing to testing and se