Titlebook: Modern Corporations and Strategies at Work; Bhabani Shankar Nayak,Naznin Tabassum Book 2022 The Editor(s) (if applicable) and The Author(s

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Multiple Signal Fault Detection Using Fuzzy Logical fault. The system involves signal segmentation, feature extraction and fuzzy logic based segment fault detection and signal fault detection. At the signal segment level, we developed a fuzzy learning algorithm that learns from good vehicle signals only. The system has been implemented and tested

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IST

,A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study,cant. As deep learning and convolutional neural network (CNN) has been widely utilized and been verified in analyzing medical images, it has become a powerful tool for computer-assisted diagnosis. However, there are two most significant challenges in medical image classification with the help of dee

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Changes in the Role of Heritage in Historic Centres: The Mutation of Historic Buildings into Touristintense process of “touristification”, generating economic development and driving new urban dynamics that are rooted in the monumental wealth of cities. In this context, this chapter aims to determine the extent to which historic buildings are integrated into new urban processes and transformed int

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https://doi.org/10.1007/978-1-4615-3130-2ph (GC/FT-IR). GC/FT-IR measurements using low resolution (20 cm.) interferometers were described as early as 1967 [1], but only recently have GC/FT-IR measurements combining both adequate resolution (4 cm.), low detection limits (less than 1 μg of sample injected into chromatograph), and sophisticated data handling become routine.

沙文主义

A Pedestrian Detection Case Study for a Traffic Light Controllerducting 383 experiments. We find that several network-platform combinations meet the given requirements of maximum 100 ms inference latency and 0.9 mean average precision. The most promising are Yolo v5 networks on Nvidia Jetson TX2 and IntelNUC GPU hardware.

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