Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings

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Kaleidoscope

ENNUI

https://doi.org/10.1007/978-0-387-74660-9 viral pneumonia, and healthy CXRs. Here, we have implemented different data augmentation techniques and trained our preprocessed data on the modified above-mentioned CNN models. The performance of the fine-tuned CNNs with the pre-trained models are also compared.

SOW

savage

Strategies of Economic Developmentsifier to classify the webpage as phishing or legal. Experiments are carried out using a dataset published by Phishpedia to validate the proposed method. The performance of the proposed method was compared among different classification algorithms in terms of different quality metrics, namely recall, F1-score, precision and accuracy.

母豬

匍匐前進

鴕鳥

Gender and Hand Identification Based on Dactyloscopy Using Deep Convolutional Neural Network,and. The deep network achieves a validation accuracy of 99.40% and 99.17% for classification of gender and hand, respectively. The practicality of the proposed network is tested using publicly available SOCOFing data set, which acts as a standard in the result of the categorization technique.

Ballerina

,Analyzing Lung Diseases Using CNN from?Chest X-ray Images, viral pneumonia, and healthy CXRs. Here, we have implemented different data augmentation techniques and trained our preprocessed data on the modified above-mentioned CNN models. The performance of the fine-tuned CNNs with the pre-trained models are also compared.

Flirtatious