Nanda Dulal Jana
Orcid: 0000-0003-0631-9912
According to our database1,
Nanda Dulal Jana
authored at least 30 papers
between 2011 and 2024.
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Bibliography
2024
Audio-visual speech synthesis using vision transformer-enhanced autoencoders with ensemble of loss functions.
Appl. Intell., March, 2024
CCLCap-AE-AVSS: Cycle consistency loss based capsule autoencoders for audio-visual speech synthesis.
J. Intell. Syst., February, 2024
IEEE Access, 2024
GNNAE-AVSS: Graph Neural Network Based Autoencoders for Audio-Visual Speech Synthesis.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
An Adaptive-Learning-Based Generative Adversarial Network for One-to-One Voice Conversion.
IEEE Trans. Artif. Intell., February, 2023
Detection of Epilepsy Seizure using Different Dimensionality Reduction Techniques and Machine Learning on Transform Domain.
CoRR, 2023
Two-Phase Evolutionary Convolutional Neural Network Architecture Search for Medical Image Classification.
IEEE Access, 2023
Region Normalized Capsule Network Based Generative Adversarial Network for Non-parallel Voice Conversion.
Proceedings of the Speech and Computer - 25th International Conference, 2023
Differential Evolution Algorithm Based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
Voice Conversion Using Feature Specific Loss Function Based Self-Attentive Generative Adversarial Network.
Proceedings of the IEEE International Conference on Acoustics, 2023
FID-RPRGAN-VC: Fréchet Inception Distance Loss based Region-wise Position Normalized Relativistic GAN for Non-Parallel Voice Conversion.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
2022
Designing optimal convolutional neural network architecture using differential evolution algorithm.
Patterns, 2022
2021
An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers.
CoRR, 2021
2020
Improving the Performance of Neural Networks with an Ensemble of Activation Functions.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Accuracy Improvement of Neural Network Training using Particle Swarm Optimization and its Stability Analysis for Classification.
CoRR, 2019
2018
Soft Comput., 2018
2017
Selection of appropriate metaheuristic algorithms for protein structure prediction in AB off-lattice model: a perspective from fitness landscape analysis.
Inf. Sci., 2017
An Improved Harmony Search Algorithm for Protein Structure Prediction Using 3D Off-Lattice Model.
Proceedings of the Harmony Search Algorithm, 2017
Protein Structure Optimization in 3D AB off-lattice model using Biogeography Based Optimization with Chaotic Mutation.
Proceedings of the Fourth ACM IKDD Conferences on Data Sciences, 2017
2016
Levy distributed parameter control in differential evolution for numerical optimization.
Nat. Comput., 2016
2015
Proceedings of the Mendel 2015, 2015
2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Hybrid Particle Swarm Optimization Technique for Protein Structure Prediction Using 2D Off-Lattice Model.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
Proceedings of the Pattern Recognition and Machine Intelligence, 2013
Proceedings of the Pattern Recognition and Machine Intelligence, 2013
Particle Swarm Optimization with Lévy Flight and Adaptive Polynomial Mutation in gbest Particle.
Proceedings of the Recent Advances in Intelligent Informatics, 2013
Modified Artificial Bee Colony Algorithm using differential evolution and polynomial mutation for real-parameter optimization.
Proceedings of the International Conference on Advances in Computing, 2013
2012
Int. J. Intell. Syst. Technol. Appl., 2012
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012
2011
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011