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Titlebook: Deep Learning Applications in Image Analysis; Sanjiban Sekhar Roy,Ching-Hsien Hsu,Venkateshwara Book 2023 The Editor(s) (if applicable) a

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Deep Learning Applications in Image Analysis978-981-99-3784-4Series ISSN 2197-6503 Series E-ISSN 2197-6511
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Polymorphism in Carbons and Parent Materialss is also no different than that. This chapter has addressed these two aspects of a large Bangla handwritten characters dataset. An Autoencoder-based model has been proposed to perform outlier detection. After removing the outliers, the deep convolutional generative adversarial network (DCGAN) has b
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https://doi.org/10.1007/978-1-349-02787-3his phenomena is related to field of computer vision for object identification and natural language processing (NLP) for representation as well. In this research, we proposed a model which employs transfer learning approach to generate a caption from an input image. To train our model, we used Flick
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https://doi.org/10.1007/978-1-349-02787-3to implement a system known as vehicle over-speed detection at a low cost to identify and warn the vehicles that are travelling at more than the prescribed speed limits. The speed limit on the roadways depends on the type of vehicle. In our proposed system, every toll booth has been fitted with a ca
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https://doi.org/10.1007/978-1-349-02787-3wide. Rapid deployment of various technological solutions early in the course of the pandemic, especially in the context of digital epidemiological surveillance and contact tracing, is associated with a number of success stories leading to the rapid suppression of community transmission and reductio
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