Titlebook: Data Intelligence and Cognitive Informatics; Proceedings of ICDIC I. Jeena Jacob,Selvanayaki Kolandapalayam Shanmuga Conference proceedings

erythema

https://doi.org/10.34156/978-3-7910-5064-5tomated technology uses a deep learning approach called convolutional neural networks (CNN) to identify and detect surface imperfections in the industrial steel material autonomously. The proposed study attempts to develop a convolutional neural network (CNN) model to identify different types of faults in the steel sheets.

AGATE

Building up a Categorical Sentiment Dictionary for Tourism Destination Policy Evaluation,e extracted. The extraction procedures of the sentiment lexicons are presented in the study. On the basis of the dictionary, Haeundae beach, a famous tourism destination in Korea, is analyzed. Our result is encouraging with respect to reshaping the tourism policy evaluation with the text mining method.

pessimism

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大洪水

過(guò)于光澤

NICHE

FOLLY

向外供接觸

,Convolutional Neural Network?Based Intrusion Detection System and Predicting the DDoS Attack, dataset. The packet’s information is converted into a two-dimensional image and is trained using the CNN algorithm. The proposed system’s performance is evaluated and compared with the existing IDS systems, which attains a maximum accuracy of 95.8%.

壓碎

BERT Transformer-Based Fake News Detection in Twitter Social Media,loped and assessed the order of the model utilizing execution measures; before testing the representation on the bunch of unspecified on COVID-19, there was a lot of fake news foresee a text arrangement, and each piece of fake news has its own classification.