Debanjan Konar

Orcid: 0000-0002-7423-9319

According to our database1, Debanjan Konar authored at least 28 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Virtual special issue on quantum inspired soft computing for intelligent data processing guest editorial.
Appl. Soft Comput., January, 2024

A Scalable Quantum Non-local Neural Network for Image Classification.
CoRR, 2024

A Bi-directional Quantum Search Algorithm.
CoRR, 2024

Harnessing quantum computing for smart agriculture: Empowering sustainable crop management and yield optimization.
Comput. Electron. Agric., 2024

2023
A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification.
Appl. Soft Comput., March, 2023

Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks.
CoRR, 2023

Random Quantum Neural Networks for Noisy Image Recognition.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Deep Spiking Quantum Neural Network for Noisy Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Scalable 5, 6-Qubit Grover's Quantum Search Algorithm.
CoRR, 2022

Random Quantum Neural Networks (RQNN) for Noisy Image Recognition.
CoRR, 2022

Optimized activation for quantum-inspired self-supervised neural network based fully automated brain lesion segmentation.
Appl. Intell., 2022

Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks.
IEEE Access, 2022

2021
Auto-Diagnosis of COVID-19 Using Lung CT Images With Semi-Supervised Shallow Learning Network.
IEEE Access, 2021

2020
Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation.
CoRR, 2020

A Quantum-Inspired Self-Supervised Network model for automatic segmentation of brain MR images.
Appl. Soft Comput., 2020

2019
Automatic short answer grading using rough concept clusters.
Int. J. Adv. Intell. Paradigms, 2019

Opti-QIBDS Net: A Quantum-Inspired Optimized Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation.
Proceedings of the TENCON 2019, 2019

A Novel Qutrit Based Quantum Ant Colony Optimization for Multi-level Thresholding.
Proceedings of the TENCON 2019, 2019

QIBDS Net: A Quantum-Inspired Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018
Quantum Spider Monkey Optimization (QSMO) Algorithm for Automatic Gray-Scale Image Clustering.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

2017
An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system.
Appl. Soft Comput., 2017

2016
Intelligent fuzzy spelling evaluator for e-Learning systems.
Educ. Inf. Technol., 2016

A quantum bi-directional self-organizing neural network (QBDSONN) architecture for binary object extraction from a noisy perspective.
Appl. Soft Comput., 2016

A quantum parallel bi-directional self-organizing neural network (QPBDSONN) architecture for extraction of pure color objects from noisy background.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015
A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) for binary image denoising.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

An Efficient Dynamic Scheduling Algorithm for Soft Real-Time Tasks in Multiprocessor System Using Hybrid Quantum-Inspired Genetic Algorithm.
Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2015


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