Titlebook: Artificial Intelligence in IoT and Cyborgization; Rajesh Kumar Dhanaraj,Bharat S. Rawal,Balamurugan Book 2023 The Editor(s) (if applicabl

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https://doi.org/10.1007/978-3-7091-3205-0 or classification of a disease has now exponentially reduced with the help of certain state of the art works of DL. In this work, we have proposed two types of classification procedures for the diseases Miosis and Mydriasis which unlike Anisocoria, extremely dilates or constricts both the pupils. T

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Die Praxis der Farbenphotographie, are used to propose a solution to the Separation Problem. Various previously trained Architecture in large databases such as VGG-16, V66-19, Inception V3, ResNet-50, DenseNet-201, etc. are available, which can be used, this technique being called as Transfer learning. The process of finding an obje

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Farbenphotographie und Farbenfilming is a predictive model which analyses using statistics and data science. Targeted Treatment is mainly applied to cancer cells to target the affected cells in a precise manner. The treatment is given to particular type of cancer cells by specified drugs and other substance. Deep learning is used i

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Introduction to Cyborgization Systems,cial components or technology that depends on feedback, such as prostheses, artificial organs, implants, or, in some cases, wearable technology. Cyborgs are not the same as bionics, bio-robotics, or androids. Companies that produce cybernetic technology take part in a range of initiatives to encoura

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Role of Machine Learning and Deep Learning Applications in the Internet of Things (IoT) Security,ls usually controlled by resources, where cyber-attacks are more likely. Extensive works have proposed to access security and secret issues on IoT channels to address these problems. However, the new characteristics of IoT links are not sufficient to link the top security concerns of IoT systems to

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