Titlebook: Artificial Intelligence and Evolutionary Computations in Engineering Systems; Proceedings of ICAIE Subhransu Sekhar Dash,Paruchuri Chandra

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Hussain Otudi,Shelly Gupta,Zoran Obradovic. SDN uses OpenFlow protocol in the control plane to achieve a more flexible operation, monitoring and networking management system. Although SDN offers various advantages over a traditional network, one of the challenges facing the use of this technology is the limited amount of knowledge on implem

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https://doi.org/10.1007/978-3-031-60920-6s. This paper presents a reconfigurable interconnections approach that uses and compares between two powerful maximum power point tracking (MPPT) techniques of artificial neuro-fuzzy inference system [ANFIS front-end distributive MPPT (DMPPT)] technique and Perturb&Observe distributive MPPT techniqu

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https://doi.org/10.1007/978-3-031-56376-8environmental problems, such as dynamic weather conditions. The control of maximum power point tracking (MPPT) meteorological conditions is an essential portion of improving solar power systems. In this paper, we introduce an elastic controller depend on artificial neural network for regulating the

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https://doi.org/10.1007/978-3-031-56844-2tomated spot detection methods requires ground-truth data. Here, a simple framework is proposed for generating 3D fluorescence microscopy images with real background and synthetic spots, forming realistic, synthetic images with ground-truth information. Similarity between synthetic and real images w

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Introduction to Site Investigationis used to solve the ensuing system of equations derived from the first-order optimality conditions of the Pontryagin’s Minimum Principle. A comparison is made between a case in which the classical Newton Method and the Modified Newton Method are used in the shooting method for solving the two-point

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