Srinivas Soumitri Miriyala

Orcid: 0000-0001-7158-9295

According to our database1, Srinivas Soumitri Miriyala authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Edge Deployable Distributed Evolutionary Optimization based Calibration method for Neural Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Representations from Explainable and Connectionist Approaches for Visual Question Answering.
Proceedings of the IEEE International Conference on Acoustics, 2024

Mixed Precision Neural Quantization with Multi-Objective Bayesian Optimization for on-Device Deployment.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Better wind forecasting using Evolutionary Neural Architecture search driven Green Deep Learning.
Expert Syst. Appl., 2023

Receptive Field Reliant Zero-Cost Proxies for Neural Architecture Search.
Proceedings of the IEEE International Conference on Acoustics, 2023

2020
An Evolutionary Neuro-Fuzzy C-means Clustering Technique.
Eng. Appl. Artif. Intell., 2020

Auto-tuned Deep Recurrent Neural Networks for Application in Wind Energy Conversion Systems.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Synchronicity Identification in Hippocampal Neurons using Artificial Neural Network assisted Fuzzy C-means Clustering.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Optimal Control using Evolutionary Algorithms through Neural network based TRANSFORMation.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Optimally designed Variational Autoencoders for Efficient Wind Characteristics Modelling.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Uncertainty quantification using Auto-tuned Surrogates of CFD model Simulating Supersonic flow over tactical missile body.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Nonlinear Model Predictive Control of Industrial Grinding Circuits using Machine Learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2018
TRANSFORM-ANN for online optimization of complex industrial processes: Casting process as case study.
Eur. J. Oper. Res., 2018

Smart Data Analytics approach to model Complex Biochemical Oscillations in Hippocampal Neurons.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


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