Titlebook: Artificial Intelligence for Societal Issues; Anupam Biswas,Vijay Bhaskar Semwal,Durgesh Singh Book 2023 The Editor(s) (if applicable) and

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Prevention of Global Mental Health Crisis with Transformer Neural Networkslth crisis. This chapter presents the challenge, and presents a new approach to avert the crisis in mental health. The objective is to design a solution by applying advances in Deep Learning literature. The advances in Transformer neural network enable pandemic scale screening, mental health diagnos

玛瑙

炼油厂

Skin Disease Detection and Classification Using Deep Learning: An Approach to Automate the System ofe group we present an audit on profound learning strategies and their applications in skin infection conclusion. We first present a short prologue to skin infections and picture acquisition techniques in dermatology, and rundown a few freely accessible skin datasets for preparing and testing calcula

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A Deep Learning Techniques for Brain Tumor Severity Level (K-CNN-BTSL) Using MRI Imagesseases of Human’s Brain overcomes a lot of issues. Still classification and segmentation of Brain tumor is very challenging even though having existing promising solutions. Magnetic resonance imaging (MRI) is one forefront technique which is suitable for identifying disease for those who are suffere

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Wolfgang Grundmann,Rudolf Körner-Delfswell established in the literature. By approaching the modeling of Cognitive Triad and Cognitive Behaviour Therapy with an Encoder-Decoder Transformer architecture, this chapter initiates future research by interested communities to avert the global mental health crisis.

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1868-4394 pplications of AI in societal awareness for economic empower.Artificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be