Titlebook: Congress on Smart Computing Technologies; Proceedings of CSCT Jagdish Chand Bansal,Harish Sharma,Antorweep Chakr Conference proceedings 20

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https://doi.org/10.1007/978-1-4757-3756-1c number plate recognition (ANPR) model by utilizing machine learning techniques. In our system, TensorFlow is used for license plate detection, while Tesseract is used for optical character recognition (OCR). The implemented model receives an image of a car as input data and recognizes the characte

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Ignacio J. Pérez-Arriaga,Yves Smeersteadily growing, and doctors have a significant burden in making an early diagnosis. The convolution neural network (CNN) is critical in diagnosing EC. In computer-aided diagnosis (CAD) and esophageal cancer categorization, practically all pre-trained networks function well. The ensembled CNN model

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Transport Pricing of Electricity Networksntive measures has meant that the disease spread to a lot of people in a very short time. Efforts from the government have been effective for periods of time, but the next wave of cases had always seemed inevitable. Data availability and reliability are the challenges faced in forecasting new COVID-

Intellectual

https://doi.org/10.1007/978-1-4757-3756-1ke them control their life as much as possible. There is an immense need to build a system that will help the visually impaired to let them know what is around them, to whom they are interacting, and lead life without the help of others. So, they are at a disadvantage as they need manual aid to urge

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Energy Balances in a Homogeneous Fluid,d occur in varying quantities, sizes, compositions, and morphology. The generated wear particles when examined and analyzed provide critical information about the machine’s condition. Analysis of wear particles is essential to identify wear failure modes of different components leading to malfunctio

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J.M.P.Q. Delgado,A. G. Barbosa de Limace to machine intelligence. This research provides a conceptual framework to make a smart planning and scheduling system by applying intelligent systems for an Assemble-to-Order (ATO) production system. Intelligent manufacturing systems (IMS), knowledge-based intelligent systems (KBIS), and intellig

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