Titlebook: Intelligent Data Engineering and Analytics; Proceedings of the 9 Suresh Chandra Satapathy,Peter Peer,Anumoy Ghosh Conference proceedings 20

bifurcate

,Developments in Capsule Network Architecture: A Review,ned problems better than CNNs. Capsule networks have shown better accuracy in many computer vision applications. In this paper, we review the methodologies and architectures of existing implementations of capsule networks.

弯弯曲曲

音乐等

Deep Learning for Real-Time Diagnosis of Pest and Diseases on Crops,lication to upload the images and a Web interface to display the uploaded images with their disease or pest type. The uploaded images are used to train a CNN model which will help to identify pests and diseases for the crops. This system is currently being developed for four major crops, which are rice, maize, chickpea, and lentil.

Eosinophils

Automated Flower Species Identification by Using Deep Convolution Neural Network,e model will predict the flower species by what it has been gained by the trained data. The built-in camera of the mobile phone will acquire the images of the flower species, and the flower image extraction function is performed using a pretrained network extraction of complex features.

Fresco