Ch. Sanjeev Kumar Dash
According to our database1,
Ch. Sanjeev Kumar Dash
authored at least 18 papers
between 2013 and 2023.
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Bibliography
2023
An artificial electric field algorithm-based neuro-fuzzy predictor for estimation of compressive strength of concrete structures: A machine learning approach.
Informatica (Slovenia), 2023
2022
Effort Estimation of Software products by using UML Sequence models with Regression Analysis.
Proceedings of the OITS International Conference on Information Technology, 2022
Estimation of Air Quality Index of Brajarajnagar and Talcher Industrial Region of Odisha State: A Higher Order Neural Network Approach.
Proceedings of the OITS International Conference on Information Technology, 2022
Proceedings of the OITS International Conference on Information Technology, 2022
2021
Int. J. Adv. Intell. Paradigms, 2021
A machine learning approach for estimating compressive strength of concrete structures using an artificial electric field algorithm-based neuro-fuzzy predictor.
Proceedings of the 19th OITS International Conference on Information Technology, 2021
Extreme Gradient Boosting and Soft Voting Ensemble Classifier for Diabetes Prediction.
Proceedings of the 19th OITS International Conference on Information Technology, 2021
2019
An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset.
Int. J. Artif. Intell. Tools, 2019
2016
Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database.
Pattern Recognit. Lett., 2016
Open Comput. Sci., 2016
2015
Towards Crafting an Improved Functional Link Artificial Neural Network Based on Differential Evolution and Feature Selection.
Informatica (Slovenia), 2015
Towards Crafting a Smooth and Accurate Functional Link Artificial Neural Networks Based on Differential Evolution and Feature Selection for Noisy Database.
Int. J. Comput. Intell. Syst., 2015
An Empirical Analysis of Evolved Radial Basis Function Networks and Support Vector Machines with Mixture of Kernels.
Int. J. Artif. Intell. Tools, 2015
2014
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014
2013
Feature Selection for Designing a Novel Differential Evolution Trained Radial Basis Function Network for Classification.
Int. J. Appl. Metaheuristic Comput., 2013
Differential Evolution-Based Optimization of Kernel Parameters in Radial Basis Function Networks for Classification.
Int. J. Appl. Evol. Comput., 2013
DE+RBFNs based classification: A special attention to removal of inconsistency and irrelevant features.
Eng. Appl. Artif. Intell., 2013
Neural Networks Training Based on Differential Evolution in Radial Basis Function Networks for Classification of Web Logs.
Proceedings of the Distributed Computing and Internet Technology, 2013