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Manisha Das
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2020 – today
- 2024
- [j7]Srinivasan Aruchamy
, Anisom Chakraborty
, Manisha Das, Siva Ram Krishna Vadali
, Ranjit Ray
, Sambhunath Nandy
:
An Efficient Gaussian Mixture Model Classifier for Outdoor Surveillance Using Seismic Signals. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - 2023
- [j6]Manisha Das
, Deep Gupta
, Petia Radeva, Ashwini M. Bakde:
Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network. J. Ambient Intell. Humaniz. Comput. 14(9): 11985-12004 (2023) - [c6]Pranav Kathar, Rajshree Khandare, Manisha Das, Deep Gupta, Sneha Singh
:
Vision Outlooker-Based Hierarchical Food Classification. TENCON 2023: 317-322 - [i2]Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention. CoRR abs/2310.11896 (2023) - [i1]Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder. CoRR abs/2310.11910 (2023) - 2022
- [j5]Bhagyashree V. Lad
, Manisha Das, Mohammad Farukh Hashmi, Avinash G. Keskar
, Deep Gupta:
Saliency Detection Using a Bio-inspired Spiking Neural Network Driven by Local and Global Saliency. Appl. Artif. Intell. 36(1) (2022) - [j4]Manisha Das
, Deep Gupta
, Petia Radeva
, Ashwini M. Bakde
:
Optimized Multimodal Neurological Image Fusion Based on Low-Rank Texture Prior Decomposition and Super-Pixel Segmentation. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c5]Rishesh Agarwal, Manisha Das
, Deep Gupta
, Petia Radeva
:
Video Colorization Using Modified Autoencoder Generative Adversarial Networks. CVIP (1) 2022: 304-315 - [c4]Dhruvi Shah, Hareshwar Wani, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion. NCC 2022: 172-177 - [c3]Vishwesh Pillai, Pranav Mehar, Manisha Das, Deep Gupta, Petia Radeva:
Integrated Hierarchical and Flat Classifiers for Food Image Classification using Epistemic Uncertainty. SPCOM 2022: 1-5 - 2021
- [j3]Manisha Das
, Deep Gupta
, Petia Radeva, Ashwini M. Bakde:
Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid ℓ1 - ℓ0 layer decomposition domain. Biomed. Signal Process. Control. 68: 102535 (2021) - [j2]Manisha Das
, Deep Gupta
, Petia Radeva
, Ashwini M. Bakde:
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization. Int. J. Imaging Syst. Technol. 31(4): 2170-2188 (2021) - [c2]Manisha Das
, Deep Gupta
, Petia Radeva
, Ashwini M. Bakde:
Deep and Bio-Inspired Spiking Neural Networks Based Optimized Multi-modal Neurological Image Fusion Model. PReMI 2021: 233-241 - 2020
- [j1]Manisha Das
, Deep Gupta
, Petia Radeva, Ashwini M. Bakde:
NSST domain CT-MR neurological image fusion using optimised biologically inspired neural network. IET Image Process. 14(16): 4291-4305 (2020)
2010 – 2019
- 2016
- [c1]B. K. Naick, Manisha Das, T. K. Chatterjee, K. Chatterjee:
Study and implementation of synchronization algorithm in three phase grid connected PV system. RAIT 2016: 304-309
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last updated on 2024-09-09 00:14 CEST by the dblp team
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