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Abnormality Detection in Cardiac Signals using Pseudo Wigner-Ville Distribution with Pre-trained Convolutional Neural Network., , , and . ICSPCS, page 1-5. IEEE, (2019)Artificial neural networks as clinical decision support systems., , , , and . Concurr. Comput. Pract. Exp., (2021)Analysis & Comparison of Neural Network Training Algorithms for the Joint Time-Frequency Analysis., , , and . Artificial Intelligence and Applications, page 193-198. IASTED/ACTA Press, (2006)Reduced features set neural network approach based on high-resolution time-frequency images for cardiac abnormality detection., , , and . Comput. Biol. Medicine, (2022)A Meta Modeling-Based Interoperability and Integration Testing Platform for IoT Systems., , , , , and . Sensors, 23 (21): 8730 (October 2023)An adaptive hybrid fuzzy-wavelet approach for image steganography using bit reduction and pixel adjustment., , , , , , , and . Soft Comput., 22 (5): 1555-1567 (2018)Coin Recognition with Reduced Feature Set SIFT Algorithm Using Neural Network., , , and . FIT, page 93-98. IEEE Computer Society, (2016)Cancer detection and classification using a simplified binary state vector machine., , , and . Medical Biol. Eng. Comput., 62 (5): 1491-1501 (May 2024)A computationally intelligent neural network-based nonlinear autoregressive exogenous balancing approach for real-time processing in industrial applications using big data., , , , and . Concurr. Comput. Pract. Exp., (2021)A Systematic Literature Review on Identifying Patterns Using Unsupervised Clustering Algorithms: A Data Mining Perspective., , , , , and . Symmetry, 15 (9): 1679 (September 2023)