Kishalay Mitra

Orcid: 0000-0001-5660-6878

According to our database1, Kishalay Mitra authored at least 28 papers between 2004 and 2024.

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Bibliography

2024
Satellite Image based Crop Classification Using Convolutional Autoencoder.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

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

Microstate analysis of GABAB and mGluR Mediated Modulation of Calcium Spiking in Hippocampal Neurons.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022
A modified Kohonen map algorithm for clustering time series data.
Expert Syst. Appl., 2022

System Identification and Process Modelling of Dynamic Systems Using Machine Learning.
Proceedings of the 26th International Conference on System Theory, Control and Computing , 2022

Artificial Intelligence Assisted Optimization Under Uncertainty for Robust Solutions.
Proceedings of the 26th International Conference on System Theory, Control and Computing , 2022

Analytics Pipeline for Visualization of Single Cell RNA Sequencing Data from Brochoaveolar Fluid in COVID-19 Patients: Assessment of Neuro Fuzzy-C-Means and HDBSCAN.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Mathematical modeling of viral infection dynamics and immune response in SARS-CoV-2: A computational framework for testing drug efficacy.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Multi-objective Optimization for Virtual Machine Allocation in Computational Scientific Workflow under Uncertainty.
Proceedings of the 11th International Conference on Cloud Computing and Services Science, 2021

2020
Towards Efficient Robust Optimization using Data based Optimal Segmentation of Uncertain Space.
Reliab. Eng. Syst. Saf., 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

2019
A model screening framework for the generation of Ca<sup>2+</sup> oscillations in hippocampal neurons using differential evolution.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

An Evolutionary Machine Learning Approach Towards Less Conservative Robust Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Variable Grid Resolution based Evolutionary Multi-objective optimization towards Micro-siting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Intuitionistic Fuzzy Approach Toward Evolutionary Robust Optimization of an Industrial Grinding Operation Under Uncertainty.
Proceedings of the Optimization in Industry, Present Practices and Future Scopes., 2019

Comparative Study of Multi/Many-Objective Evolutionary Algorithms on Hot Rolling Application.
Proceedings of the Optimization in Industry, Present Practices and Future Scopes., 2019

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

Confocal imaging of cytosolic Ca<sup>2+</sup> and fuzzy clustering reveal the circuit topology details underlying synchronization in hippocampal neurons.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

2006
Modeling of an industrial wet grinding operation using data-driven techniques.
Comput. Chem. Eng., 2006

2004
Multiobjective dynamic optimization of a semi-batch epoxy polymerization process.
Comput. Chem. Eng., 2004

Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation.
Proceedings of the Genetic and Evolutionary Computation, 2004


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