Kapil Gupta

Orcid: 0000-0003-0264-948X

Affiliations:
  • National Institute of Technology (NIT), Department of Computer Applications, Kurukshetra, Haryana, India
  • Jawaharlal Nehru University, School of Computer and Systems Sciences, New Delhi, India (PhD 2012)


According to our database1, Kapil Gupta authored at least 17 papers between 2010 and 2025.

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

Timeline

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Bibliography

2025
Semi supervised K-SVCR for multi-class classification.
Multim. Tools Appl., March, 2025

2023
Linear optimization and fuzzy-based clustering for WSNs assisted internet of things.
Multim. Tools Appl., February, 2023

2022
HFLBSC: Heuristic and Fuzzy Based Load Balanced, Scalable Clustering Algorithm for Wireless Sensor Network.
Wirel. Pers. Commun., 2022

Lower-dimensional intrinsic structural representation of leaf images and plant recognition.
Signal Image Video Process., 2022

Leaf Bagging: A novel meta heuristic optimization based framework for leaf identification.
Multim. Tools Appl., 2022

A hierarchical laplacian TWSVM using similarity clustering for leaf classification.
Clust. Comput., 2022

2021
On solving leaf classification using linear regression.
Multim. Tools Appl., 2021

Energy balanced, delay aware multi-path routing using particle swarm optimisation in wireless sensor networks.
Int. J. Sens. Networks, 2021

2020
Improved fault-tolerant optimal route reconstruction approach for energy consumed areas in wireless sensor networks.
IET Wirel. Sens. Syst., 2020

2019
Multiclass Twin Support Vector Machine for plant species identification.
Multim. Tools Appl., 2019

2014
Lagrangian support vector regression via unconstrained convex minimization.
Neural Networks, 2014

1-Norm extreme learning machine for regression and multiclass classification using Newton method.
Neurocomputing, 2014

2013
On extreme learning machine for ε-insensitive regression in the primal by Newton method.
Neural Comput. Appl., 2013

2011
Finite Newton method for implicit Lagrangian support vector regression.
Int. J. Knowl. Based Intell. Eng. Syst., 2011

Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives.
Neurocomputing, 2011

Weighted fuzzy ridge regression analysis with crisp inputs and triangular fuzzy outputs.
Int. J. Adv. Intell. Paradigms, 2011

2010
On Lagrangian support vector regression.
Expert Syst. Appl., 2010


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