Titlebook: Cognition and Recognition; 8th International Co D. S. Guru,Sharath Kumar Y. H.,Manabu Ichino Conference proceedings 2022 The Editor(s) (if

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Chatbot-An Intelligent Virtual Medical Assistant, maintain our health and this is the protocol followed by almost all the people over the world. What if there is a place where people could interact with the machine as they interact with doctors and discuss their health conditions and can also access through simple web application anytime through i

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COVID-19 Detection Using Deep Learning Based Medical Image Segmentation,s critical in reducing the virus‘s spread considering the lack of an effective treatment or medication. COVID-19 patients should be diagnosed as well as isolated as early as possible to avoid the infection from spreading and levelling the pandemic arc. To detect COVID-19, chest ultrasound tomography

Insulin

Depth Based Static Hand Gesture Segmentation and Recognition,ds various applications in the area of Human Computer Interaction (HCI) like robotics control and Sign Language Recognition (SLR) for communication with specially abled people. Classification of hand gestures in varying lighting conditions and occlusion is still a challenging task. In this paper, a

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Efficient Deep Learning Methods for Identification of Defective Casting Products,use efficient and low computational AI algorithms to identify such defective products. In this paper, we have compared and contrasted various pre-trained and custom-built architectures using model size, performance, and CPU latencyin the detection of defective casting products. Our results show that

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Efficient Feature Selection Algorithm for Gene Classification,ression datasets contain a considerably large number (in terms of thousands) of features (genes) and a comparatively small number (in terms of hundreds) of samples. Because of these characteristics, microarray gene expression data analysis is complex. Therefore, efficient feature selection is the im

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