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

nullify

大洪水

過于光澤

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.