LEADER 04136nam a22005775i 4500001 99129042877806421 005 20230717151955.0 006 m o d | 007 cr cnu|||||||| 008 210720s2022 si | o |||| 0|eng d 020 981-16-2007-5 020 981-16-2008-3 020 981-16-2008-3 024 7 10.1007/978-981-16-2008-9 |2doi 035 (CKB)4100000011983352 035 (MiAaPQ)EBC6681015 035 (Au-PeEL)EBL6681015 035 (DE-He213)978-981-16-2008-9 035 (BIP)079523250 035 (PPN)258062436 035 (EXLCZ)994100000011983352 040 MiAaPQ |beng |erda |epn |cMiAaPQ |dMiAaPQ 050 4 TA1-2040 072 7 UYQ |2bicssc 072 7 TEC009000 |2bisacsh 072 7 UYQ |2thema 082 04 006.3 |223 100 1 Iyer, Brijesh. 245 10 Applied Information Processing Systems : |bProceedings of ICCET 2021 / |cedited by Brijesh Iyer, Debashis Ghosh, Valentina Emilia Balas. 250 1st ed. 2022. 264 1 Singapore : |bSpringer Nature Singapore : |bImprint: Springer, |c2022. 300 1 online resource (588 pages) 336 text |btxt |2rdacontent 337 computer |bc |2rdamedia 338 online resource |bcr |2rdacarrier 490 1 Advances in Intelligent Systems and Computing, |x2194-5365 ; |v1354 520 This book is a collection of selected high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2021), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during January 30–31, 2021. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students and engineers alike. The theme of the conference is Applied Information Processing System. 505 0 Chapter 1. CNN parameter adjustment for brain tumor classification -- Chapter 2. Advance Fuzzy Radial Basis Function Neural Network -- Chapter 3. Unbounded Fuzzy Radial Basis Function Neural Network Classifier -- Chapter 4. A study on the adaptability of Deep Learning-based Polar coded NOMA in Ultra-Reliable Low-Latency Communication Scenario -- Chapter 5. Heart Rate Variability based Mental Stress Detection using Deep Learning Approach -- Chapter 6. Product Based Market Analysis using Deep Learning -- Chapter 7. Driver drowsiness detection using Deep-Learning Chapter 8. Emotion detection from social media-based using machine learning techniques: A Survey -- Chapter 9. Deep age estimation using sclera images in multiple environment -- Chapter 10. Data Handling Approach for Machine Learning in Wireless Communication: A Survey -- Chapter 11. Breast cancer detection in mammograms using deep learning -- Chapter 12. Deep learning based Parameterized Framework to investigate the influence of Pedagogical Innovations in Engineering Courses -- Chapter 13. Modern Transfer Learning based preliminary diagnosis of COVID-19 using forced cough recordings with Mel-frequency cepstral coefficients -- Chapter 14. Biomedical Text Summarization: A Graph Based Ranking Approach -- Chapter 15. EEG based Diagnosis of Alzheimer's Disease Using Kolmogorov Complexity. 650 0 Computational intelligence. 650 0 Artificial intelligence. 650 0 Cloud Computing. 650 0 Signal processing. 650 0 Internet of things. 650 14 Computational Intelligence. 650 24 Artificial Intelligence. 650 24 Cloud Computing. 650 24 Signal, Speech and Image Processing . 650 24 Internet of Things. 776 |z981-16-2007-5 700 1 Ghosh, Debashis. 700 1 Balas, Valentina Emilia. 830 0 Advances in Intelligent Systems and Computing, |x2194-5365 ; |v1354 906 BOOK