Venkatanareshbabu Kuppili

According to our database1, Venkatanareshbabu Kuppili authored at least 42 papers between 2011 and 2020.

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

Timeline

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PhD thesis 
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Bibliography

2020
Multilevel Automated Security System for Prevention of Accidents at Unmanned Railway Level Crossings.
Wirel. Pers. Commun., 2020

M-Curves path planning model for mobile anchor node and localization of sensor nodes using Dolphin Swarm Algorithm.
Wirel. Networks, 2020

A Mechanics-Based Similarity Measure for Text Classification in Machine Learning Paradigm.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Efficient feature selection using one-pass generalized classifier neural network and binary bat algorithm with a novel fitness function.
Soft Comput., 2020

Bat algorithm-based weighted Laplacian probabilistic neural network.
Neural Comput. Appl., 2020

Binary BAT algorithm and RBFN based hybrid credit scoring model.
Multim. Tools Appl., 2020

Credit score classification using spiking extreme learning machine.
Comput. Intell., 2020

Parameter-free fuzzy histogram equalisation with illumination preserving characteristics dedicated for contrast enhancement of magnetic resonance images.
Appl. Soft Comput., 2020

A new hybrid stability measure for feature selection.
Appl. Intell., 2020

A combination of FractalNet and CNN for Lung Nodule Classification.
Proceedings of the 11th International Conference on Computing, 2020

2019
Texture Image Classification Using Deep Neural Network and Binary Dragon Fly Optimization with a Novel Fitness Function.
Wirel. Pers. Commun., 2019

Novel elegant fuzzy genetic algorithms in classification problems.
Soft Comput., 2019

An efficient Concealed Information Test: EEG feature extraction and ensemble classification for lie identification.
Mach. Vis. Appl., 2019

Cancer data classification using binary bat optimization and extreme learning machine with a novel fitness function.
Medical Biol. Eng. Comput., 2019

Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk.
Medical Biol. Eng. Comput., 2019

PLDL: a novel method for label distribution learning.
Int. Arab J. Inf. Technol., 2019

An optimized and efficient radial basis neural network using cluster validity index for diabetes classification.
Int. Arab J. Inf. Technol., 2019

Analysis of controversies in the formulation and evaluation of restoration algorithms for MR Images.
Expert Syst. Appl., 2019

A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification.
Comput. Intell., 2019

Energy efficient load balancing approach for avoiding energy hole problem in WSN using Grey Wolf Optimizer with novel fitness function.
Appl. Soft Comput., 2019

Prospect of Stein's Unbiased Risk Estimate as Objective Function for Parameter Optimization in Image Denoising Algorithms - A Case Study on Gaussian Smoothing Kernel.
Proceedings of the International Conference on Data Science and Engineering, 2019

Data-oriented Neural Time Series with Long Short-Term Memories (LSTM) for Malaria Incidence Prediction in Goa, India.
Proceedings of the 10th International Conference on Computing, 2019

Dependency of Optimum Value of Regularization Parameter in Total Variation Filter on Noise Statistics - A MR Phantom Study.
Proceedings of the 10th International Conference on Computing, 2019

Generalized Compensative Intuitionistic Fuzzy Information with Choquet Integrals.
Proceedings of the 10th International Conference on Computing, 2019

2018
Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.
J. Medical Syst., 2018

Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.
Comput. Methods Programs Biomed., 2018

Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort.
Comput. Biol. Medicine, 2018

RST-BatMiner: A fuzzy rule miner integrating rough set feature selection and Bat optimization for detection of diabetes disease.
Appl. Soft Comput., 2018

Novel fitness function for 3D image reconstruction using bat algorithm based autoencoder.
Proceedings of the 23rd International ACM Conference on 3D Web Technology, 2018

Feature Selection Using Binary PSOGSA and Radial Basis Network with a Novel Fitness Function.
Proceedings of the 9th International Conference on Computing, 2018

Optimized Laplacian Generalized Classifier Neural Network.
Proceedings of the 9th International Conference on Computing, 2018

Deceit Identification Test on EEG Data Using Deep Belief Network.
Proceedings of the 9th International Conference on Computing, 2018

2017
Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.
J. Medical Syst., 2017

Dissipative analysis for network-based singular systems with non-fragile controller and event-triggered sampling scheme.
J. Frankl. Inst., 2017

Diabetes Classification using Radial Basis Function Network by Combining Cluster Validity Index and BAT Optimization with Novel Fitness Function.
Int. J. Comput. Intell. Syst., 2017

SM-RuleMiner: Spider monkey based rule miner using novel fitness function for diabetes classification.
Comput. Biol. Medicine, 2017

PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2014
Classification of gene expression data using Spiking Wavelet Radial Basis Neural Network.
Expert Syst. Appl., 2014

2013
A new spiking neuron model.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
A Single Neuron Model for Pattern Classification.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Heterogeneous node split measure for decision tree construction.
Proceedings of the IEEE International Conference on Systems, 2011

An improved architecture for Probabilistic Neural Networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011


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