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26 results on '"Bhaskar, Nuthanakanti"'

1. Automated Pest Detection Using Image Classification

Author

Rakhonde, Vinith, Srujan Raju, K., Bhaskar, Nuthanakanti, Reddy, A. Raji, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Gunjan, Vinit Kumar, editor, and Zurada, Jacek M., editor

Published
2024
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2. Emotion Recognition Through Speech

Author

Shashank, Valandas Sai, Bhaskar, Nuthanakanti, Srujan Raju, K., Raji Reddy, A., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Gunjan, Vinit Kumar, editor, and Zurada, Jacek M., editor

Published
2024
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3. NASDAQ Stock Value Prognosis—A Comparative Scrutiny Using Deep Learning and Machine Learning Models

Author

Gundu, Ananthalakshmi, Bhaskar, Nuthanakanti, Srujan Raju, K., Reddy, Avala Raji, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Gunjan, Vinit Kumar, editor, and Zurada, Jacek M., editor

Published
2024
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8. A Survey: Classifying and Predicting Features Based on Facial Analysis

Author

Tejaashwini Goud, J., Bhaskar, Nuthanakanti, Kumar, Voruganti Naresh, Mubeen, Suraya, Narasimharao, Jonnadula, Unnisa, Raheem, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Bhateja, Vikrant, editor, Yang, Xin-She, editor, Ferreira, Marta Campos, editor, Sengar, Sandeep Singh, editor, and Travieso-Gonzalez, Carlos M., editor

Published
2023
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9. Diabetic Retinopathy Detection Using Deep Learning

Author

Gothane, Suwarna, Raju, K. Srujan, Bhaskar, Nuthanakanti, Divya, G., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bhateja, Vikrant, editor, Khin Wee, Lai, editor, Lin, Jerry Chun-Wei, editor, Satapathy, Suresh Chandra, editor, and Rajesh, T. M., editor

Published
2022
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10. Lung Cancer Detection Using Deep Convolutional Neural Networks

Author

Tiwari, Laxmikant, Awasthi, Vineet, Patra, Raj Kumar, Miri, Rohit, Raja, Hiral, Bhaskar, Nuthanakanti, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bhateja, Vikrant, editor, Khin Wee, Lai, editor, Lin, Jerry Chun-Wei, editor, Satapathy, Suresh Chandra, editor, and Rajesh, T. M., editor

Published
2022
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12. A Dynamic Model and Algorithm for Real-Time Traffic Management

Author

Teja, M. N. V. M. Sai, Sree, N. Lasya, Harshitha, L., Bhargav, P. Venkata, Bhaskar, Nuthanakanti, Reddy, V. Dinesh, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Bhateja, Vikrant, editor, Satapathy, Suresh Chandra, editor, Travieso-Gonzalez, Carlos M., editor, and Adilakshmi, T., editor

Published
2022
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19. Detecting emotions in face using deep learning technique.

Author

Nishok, V. S., Sureshkumar, S., Prakash, A., Bhaskar, Nuthanakanti, Nandankar, Praful V., and Revathi, R.

Subjects
FACIAL expression & emotions (Psychology), EMOTION recognition, DEEP learning, ARTIFICIAL intelligence, CONVOLUTIONAL neural networks, EMOTIONAL state
Abstract

Identifying the Emotions of Human from the images are the most challenging research task. When it comes to detecting emotional states, deep learning-based algorithms outperform those that use visual processing. The creation of artificial intelligence (AI) system that can recognize emotions in facial expressions is presented in this research. There are three primary processes in the process of emotion detection: Detecting the faces, Extracting the features, and classification. This Deep learning architecture for emotion recognition from photos was presented in this article using convolutional neural networks (CNNs). The suggested approach is assessed based on the Facial Emotion Recognition Challenge and Japanese Female Facial Emotion dataset. There are 70.14% and 98.65% accuracy rates for the FERC-2013 and JAFFE datasets, respectively, with the suggested model. [ABSTRACT FROM AUTHOR]

Published
2023
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