Author:
Vaishnavi V.,Braveen M.,Muthukumaran N.,Poonkodi P.
Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. A. Abbaskhah, H. Sedighi, H. Marvi, Infant cry classification by MFCC feature extraction with MLP and CNN structures. Biomed. Signal Process. Control 86, 105261 (2023)
2. A. Agasthian, P. Rajendra, L.A. Kumaraswamidhas, Integration of monitoring and security based deep learning network for wind turbine system. Int. J. Syst. Design Comput. 01(01), 11–17 (2023)
3. K. Anusha, B. Muthu Kumar, J. Ragaventhiran, India-Net: IOT intrusion detection via enhanced transient search optimized advanced deep learning technique. Int. J. Data Sci. Artif. Intell. IJDSAI 02(01), 07–12 (2024)
4. A. Appathurai, R. Sundarasekar, C. Raja, E.J. Alex, C.A. Palagan, A. Nithya, An efficient optimal neural network-based moving vehicle detection in traffic video surveillance system. Circuits Syst. Signal Process. 39, 734–756 (2020)
5. K. Ashwini, P.D.R. Vincent, A deep convolutional neural network-based approach for effective neonatal cry classification. Recent Adv. Comput. Sci. Commun. (Formerly: Recent Patents on Computer Science) 15(2), 229–239 (2022)