Rishabh Sharma

According to our database, Rishabh Sharma authored at least 24 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events.

Vinay Kukreja, Tejinder Pal Singh Brar, Satvik Vats, Ankit Bansal, Rishabh Sharma

SN Comput. Sci., October, 2024

Image segmentation, classification and recognition methods for comics: A decade systematic literature review.

Rishabh Sharma, Vinay Kukreja

Eng. Appl. Artif. Intell., 2024

2023

Light Field View Synthesis Using the Focal Stack and All-in-Focus Image.

Rishabh Sharma, Stuart W. Perry, Eva Cheng

Sensors, February, 2023

FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels.

Amandeep Singh, Sweety Sehgal, Manish Mahajan, Vinay Kukreja, Rishabh Sharma, Satvik Vats

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Smart logistics multi-classification system using CNN and LSTM.

Rishabh Sharma, Vinay Kukreja, Satvik Vats

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model.

Manish Mahajan, Rishabh Sharma, Amandeep Singh, Vinay Kukreja, Satvik Vats

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model.

Vinay Kukreja, Rishabh Sharma, Satvik Vats, Manika Manwal

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Crop Vigil: Automated Wheat Bunt Disease Multi-Classification with a CNN-RNN Hybrid Model and Attention Block.

Vinay Kukreja, Rishabh Sharma, Vikrant Sharma, Aditya Verma

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Application of Deep Learning Strategy for Multi-classification of Indian Heritage Images.

Vinay Kukreja, Rishabh Sharma, Dibyahash Bordoloi

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Hybrid Classification Model using CNN & SVM for Seven Wonders of the World.

Varun Jindal, Anuj Kumar Jain, Vinay Kukreja, Raj Gaurang Tiwari, Satvik Vats, Rishabh Sharma

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot.

Shruti Garg, Vinay Kukreja, Rishabh Sharma, Vikrant Sharma, Manisha Aeri

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification.

Nikhil Dhawan, Vinay Kukreja, Rishabh Sharma, Satvik Vats, Aditya Verma

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Sustainable PRS: A hybrid DL-based parcel recognition approach.

Ankit Bansal, Rishabh Sharma, Vinay Kukreja, Amitoj Singh, Satvik Vats

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

From Perception to Precision: Navigating Perceptual Loss in MRI Super-Resolution.

Mohammad Javadi, Rishabh Sharma, Panagiotis Tsiamyrtzis, Shishir Shah, Ernst L. Leiss, Nikolaos V. Tsekos

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature Transfer.

Robert Griffin, Rishabh Sharma, Andrew G. Webb, Nikolaos V. Tsekos

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022

Noise-Resilient Depth Estimation for Light Field Images Using Focal Stack and FFT Analysis.

Rishabh Sharma, Stuart W. Perry, Eva Cheng

Sensors, 2022

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.

Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau

Medical Image Anal., 2022

Gradient Based Activations for Accurate Bias-Free Learning.

Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

SunPy: A Python package for Solar Physics.

Stuart Mumford, Nabil Freij, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt, Albert J. Shih, Daniel Ryan, Simon Liedtke, David Pérez-Suárez, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will T. Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray

J. Open Source Softw., 2020

SM2N2: A Stacked Architecture for Multimodal Data and Its Application to Myocardial Infarction Detection.

Rishabh Sharma, Christoph F. Eick, Nikolaos V. Tsekos

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Myocardial Infarction Segmentation in Late Gadolinium Enhanced MRI Images using Data Augmentation and Chaining Multiple U-Net.

Rishabh Sharma, Christoph F. Eick, Nikolaos V. Tsekos

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications.

Arpit Jadon, Mohd. Omama, Akshay Varshney, Mohammad Samar Ansari, Rishabh Sharma

CoRR, 2019

2018

Classification of Graphical User Interfaces Through Gaze-Based Features.

Rishabh Sharma, Hubert Cecotti

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018

2012

Binarization based edge detection using universal law of gravity and ant colony optimization.

Om Prakash Verma, Madasu Hanmandlu, Rishabh Sharma

Int. J. Hybrid Intell. Syst., 2012