Debanjan Konar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 26

Top Topics

Image Classification

Quantum Inspired

Top Venues

Appl. Soft Comput.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Debanjan Konar, Zain Hafeez, Vaneet Aggarwal
A Bi-directional Quantum Search Algorithm. CoRR (2024)
Debanjan Konar, Siddhartha Bhattacharyya, Tapan K. Gandhi, Bijaya K. Panigrahi, Richard Jiang
3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Chrysanthos Maraveas, Debanjan Konar, Dimosthenis K. Michopoulos, Konstantinos G. Arvanitis, Kostas P. Peppas
Harnessing quantum computing for smart agriculture: Empowering sustainable crop management and yield optimization. Comput. Electron. Agric. 218 (2024)
Sparsh Gupta, Debanjan Konar, Vaneet Aggarwal
A Scalable Quantum Non-local Neural Network for Image Classification. CoRR (2024)
Siddhartha Bhattacharyya, Debashis De, Sergey Gorbachev, Debanjan Konar
Virtual special issue on quantum inspired soft computing for intelligent data processing guest editorial. Appl. Soft Comput. 151 (2024)
Debanjan Konar, Dheeraj Peddireddy, Vaneet Aggarwal, Bijaya K. Panigrahi
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks. CoRR (2023)
Debanjan Konar, Erol Gelenbe, Soham Bhandary, Aditya Das Sarma, Attila Cangi
Random Quantum Neural Networks for Noisy Image Recognition. QCE (2023)
Debanjan Konar, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya, Attila Cangi, Vaneet Aggarwal
A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. Appl. Soft Comput. 136 (2023)
Debanjan Konar, Vaneet Aggarwal, Aditya Das Sarma, Soham Bhandary, Siddhratha Bhattacharyya, Attila Cangi
Deep Spiking Quantum Neural Network for Noisy Image Classification. IJCNN (2023)
Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Debanjan Konar, Xin Gao, Tianyang Wang, Min Xu
Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access 10 (2022)
Debanjan Konar, Siddhartha Bhattacharyya, Sandip Dey, Bijaya Ketan Panigrahi
Optimized activation for quantum-inspired self-supervised neural network based fully automated brain lesion segmentation. Appl. Intell. 52 (13) (2022)
Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth C. Behrman
Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Debanjan Konar, Erol Gelenbe, Soham Bhandary, Aditya Das Sarma, Attila Cangi
Random Quantum Neural Networks (RQNN) for Noisy Image Recognition. CoRR (2022)
Dinesh Reddy Vemula, Debanjan Konar, Sudeep Satheesan, Sri Mounica Kalidasu, Attila Cangi
A Scalable 5, 6-Qubit Grover's Quantum Search Algorithm. CoRR (2022)
Debanjan Konar, Bijaya K. Panigrahi, Siddhartha Bhattacharyya, Nilanjan Dey, Richard Jiang
Auto-Diagnosis of COVID-19 Using Lung CT Images With Semi-Supervised Shallow Learning Network. IEEE Access 9 (2021)
Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth Behrman
Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. CoRR (2020)
Debanjan Konar, Siddhartha Bhattacharyya, Tapan Kumar Gandhi, Bijaya Ketan Panigrahi
A Quantum-Inspired Self-Supervised Network model for automatic segmentation of brain MR images. Appl. Soft Comput. 93 (2020)
Udit Kr. Chakraborty, Debanjan Konar, Samir Roy, Sankhayan Choudhury
Automatic short answer grading using rough concept clusters. Int. J. Adv. Intell. Paradigms 14 (3/4) (2019)
Debanjan Konar, Siddhartha Bhattacharyya, Sandip Dey, Bijaya Ketan Panigrahi
Opti-QIBDS Net: A Quantum-Inspired Optimized Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation. TENCON (2019)
Debanjan Konar, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi
QIBDS Net: A Quantum-Inspired Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation. PReMI (2) (2019)
Siddhartha Bhattacharyya, Sandip Dey, Debanjan Konar
A Novel Qutrit Based Quantum Ant Colony Optimization for Multi-level Thresholding. TENCON (2019)
Siddhartha Bhattacharyya, Václav Snásel, Alokananda Dey, Sandip Dey, Debanjan Konar
Quantum Spider Monkey Optimization (QSMO) Algorithm for Automatic Gray-Scale Image Clustering. ICACCI (2018)
Debanjan Konar, Siddhartha Bhattacharyya, Kalpana Sharma, Sital Sharma, Sri Raj Pradhan
An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system. Appl. Soft Comput. 53 (2017)
Debanjan Konar, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Kazumi Nakamatsu
A quantum bi-directional self-organizing neural network (QBDSONN) architecture for binary object extraction from a noisy perspective. Appl. Soft Comput. 46 (2016)
Debanjan Konar, Udit Kr. Chakraborty, Siddhartha Bhattacharyya, Tapan Kumar Gandhi, Bijaya Ketan Panigrahi
A quantum parallel bi-directional self-organizing neural network (QPBDSONN) architecture for extraction of pure color objects from noisy background. ICACCI (2016)
Udit Kr. Chakraborty, Debanjan Konar, Samir Roy, Sankhayan Choudhury
Intelligent fuzzy spelling evaluator for e-Learning systems. Educ. Inf. Technol. 21 (1) (2016)
Debanjan Konar, Kalpana Sharma, Sri Raj Pradhan, Sital Sharma
An Efficient Dynamic Scheduling Algorithm for Soft Real-Time Tasks in Multiprocessor System Using Hybrid Quantum-Inspired Genetic Algorithm. FICTA (2015)
Debanjan Konar, Siddhartha Bhattacharyya, Nibaran Das, Bijaya Ketan Panigrahi
A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) for binary image denoising. ICACCI (2015)