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Publication search results
found 90 matches
- 2024
- Rishabh Sharma, Vinay Kukreja:
Image segmentation, classification and recognition methods for comics: A decade systematic literature review. Eng. Appl. Artif. Intell. 131: 107715 (2024) - Vinay Kukreja, Tejinder Pal Singh Brar, Satvik Vats, Ankit Bansal, Rishabh Sharma:
Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events. SN Comput. Sci. 5(7): 958 (2024) - Saksham Gupta, Amitabh Sharma, Aditya Mulgundkar, Rishabh Dev Yadav, Spandan Roy:
Adaptive Control of Quadrotor under Actuator Loss and Unknown State-dependent Dynamics. CASE 2024: 717-722 - Alokendu Mazumder, Tirthajit Baruah, Bhartendu Kumar, Rishab Sharma, Vishwajeet Pattanaik, Punit Rathore:
Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights. WACV 2024: 2839-2848 - Kartheik Iyer, Mikaeel Yunus, Charles O'Neill, Christine Ye, Alina Hyk, Kiera McCormick, Ioana Ciuca, John F. Wu, Alberto Accomazzi, Simone Astarita, Rishabh Chakrabarty, Jesse Cranney, Anjalie Field, Tirthankar Ghosal, Michele Ginolfi, Marc Huertas-Company, Maja Jablonska, Sandor Kruk, Huiling Liu, Gabriel Marchidan, Rohit Mistry, Jill P. Naiman, Joshua E. G. Peek, Mugdha Polimera, Sergio J. Rodríguez Méndez, Kevin Schawinski, Sanjib Sharma, Michael J. Smith, Yuan-Sen Ting, Mike Walmsley:
pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. CoRR abs/2408.01556 (2024) - 2023
- Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson:
mlpack 4: a fast, header-only C++ machine learning library. J. Open Source Softw. 8(82): 5026 (2023) - Rishabh Sharma, Stuart W. Perry, Eva Cheng:
Light Field View Synthesis Using the Focal Stack and All-in-Focus Image. Sensors 23(4): 2119 (2023) - Robert Griffin, Rishabh Sharma, Andrew G. Webb, Nikolaos V. Tsekos:
Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature Transfer. BIBE 2023: 50-56 - Mohammad Javadi, Rishabh Sharma, Panagiotis Tsiamyrtzis, Shishir Shah, Ernst L. Leiss, Nikolaos V. Tsekos:
From Perception to Precision: Navigating Perceptual Loss in MRI Super-Resolution. BIBE 2023: 57-61 - Abhijeet Rana, Aman Garg, Rishabh Jain, Aditi Sharma:
Audio Examination - Mental Health Diagnosis in Healthcare through Audio Analytics. IC3 2023: 24-29 - Digvijay Singh, Annu Yadav, Rishabh Arora, G. Ravivarman, S. Arul Antran Vijay, Y. K. Sharma:
Deep Neural Network Deception Using A Single Pixel Assault. IC3I 2023: 1989-1994 - Ankit Bansal, Rishabh Sharma, Vinay Kukreja, Amitoj Singh, Satvik Vats:
Sustainable PRS: A hybrid DL-based parcel recognition approach. ICCCNT 2023: 1-5 - Nikhil Dhawan, Vinay Kukreja, Rishabh Sharma, Satvik Vats, Aditya Verma:
Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification. ICCCNT 2023: 1-5 - Shruti Garg, Vinay Kukreja, Rishabh Sharma, Vikrant Sharma, Manisha Aeri:
Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot. ICCCNT 2023: 1-5 - Varun Jindal, Anuj Kumar Jain, Vinay Kukreja, Raj Gaurang Tiwari, Satvik Vats, Rishabh Sharma:
Hybrid Classification Model using CNN & SVM for Seven Wonders of the World. ICCCNT 2023: 1-5 - Vinay Kukreja, Rishabh Sharma, Dibyahash Bordoloi:
Application of Deep Learning Strategy for Multi-classification of Indian Heritage Images. ICCCNT 2023: 1-5 - Vinay Kukreja, Rishabh Sharma, Vikrant Sharma, Aditya Verma:
Crop Vigil: Automated Wheat Bunt Disease Multi-Classification with a CNN-RNN Hybrid Model and Attention Block. ICCCNT 2023: 1-6 - Vinay Kukreja, Rishabh Sharma, Satvik Vats, Manika Manwal:
DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model. ICCCNT 2023: 1-6 - Manish Mahajan, Rishabh Sharma, Amandeep Singh, Vinay Kukreja, Satvik Vats:
Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model. ICCCNT 2023: 1-6 - Rishabh Sharma, Vinay Kukreja, Satvik Vats:
Smart logistics multi-classification system using CNN and LSTM. ICCCNT 2023: 1-4 - Amandeep Singh, Sweety Sehgal, Manish Mahajan, Vinay Kukreja, Rishabh Sharma, Satvik Vats:
FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels. ICCCNT 2023: 1-5 - Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das:
Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning. ICDCS 2023: 1-12 - Surbhi Madan, Rishabh Jain, Gulshan Sharma, Ramanathan Subramanian, Abhinav Dhall:
MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings. ACM Multimedia 2023: 9526-9530 - Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson:
mlpack 4: a fast, header-only C++ machine learning library. CoRR abs/2302.00820 (2023) - Somya Sharma, Swati Sharma, Licheng Liu, Rishabh Tushir, Andy Neal, Robert Ness, John Crawford, Emre Kiciman, Ranveer Chandra:
Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science. CoRR abs/2306.09302 (2023) - Surbhi Madan, Rishabh Jain, Gulshan Sharma, Ramanathan Subramanian, Abhinav Dhall:
MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings. CoRR abs/2309.10765 (2023) - Alokendu Mazumder, Tirthajit Baruah, Bhartendu Kumar, Rishab Sharma, Vishwajeet Pattanaik, Punit Rathore:
Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights. CoRR abs/2310.16194 (2023) - Rishabh Dev Yadav, Brycen Jones, Saksham Gupta, Amitabh Sharma, Jiefeng Sun, Jianguo Zhao, Spandan Roy:
An Integrated Approach to Aerial Grasping: Combining a Bistable Gripper with Adaptive Control. CoRR abs/2311.00769 (2023) - 2022
- Rishab Sharma, Ramin Shahbazi, Fatemeh H. Fard, Zadia Codabux, Melina C. Vidoni:
Self-admitted technical debt in R: detection and causes. Autom. Softw. Eng. 29(2): 53 (2022) - 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:
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. 79: 102428 (2022)
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