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Publication search results
found 41 matches
- 2024
- Poonam Chaudhary, Yash Vardhan Varshney, Gautam Srivastava
, Surbhi Bhatia
:
Motor imagery classification using sparse nonnegative matrix factorization and convolutional neural networks. Neural Comput. Appl. 36(1): 213-223 (2024) - Joseph Gatto, Madhusudan Basak, Yash Srivastava, Philip Bohlman, Sarah Masud Preum:
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse. CoRR abs/2403.03336 (2024) - 2023
- Yashveer Kumar, Nikhil Srivastava
, Aman Singh, Vineet Kumar Singh:
Wavelets based computational algorithms for multidimensional distributed order fractional differential equations with nonlinear source term. Comput. Math. Appl. 132: 73-103 (2023) - Abhishek Bajpai
, Vaibhav Srivastava, Shruti Yadav, Yash Sharma:
Multiple Flying Object Detection using AlexNet Architecture for Aerial Surveillance Applications. ICCCNT 2023: 1-6 - Shan Guleria, Benjamin Schwartz, Yash Sharma, Philip Fernandez, James A. Jablonski, Sodiq Adewole, Sanjana Srivastava, Fisher Rhoads, Michael D. Porter
, Michelle Yeghyayan, Dylan Hyatt, Andrew Copland, Lubaina Ehsan, Donald E. Brown, Sana Syed:
The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning. CoRR abs/2308.13035 (2023) - 2022
- Gaurav Srivastava
, Nitesh Pradhan, Yashwin Saini:
Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images. Comput. Biol. Medicine 149: 105979 (2022) - Siva Sai
, Naman Deep Srivastava, Yashvardhan Sharma:
Explorative Application of Fusion Techniques for Multimodal Hate Speech Detection. SN Comput. Sci. 3(2): 122 (2022) - Radha Mahendran, Sai Nitisha Tadiboina
, B. V. Sai Thrinath, Aashish Gadgil, Srinu Madem, Yashi Srivastava:
Application of Machine Learning and Internet of Things for Identification of Nutrient Deficiencies in Oil Palm. IC3I 2022: 2024-2028 - 2021
- Nrusingh Charan Pradhan, Pramod Kumar Sahoo, Dilip Kumar Kushwaha, Indra Mani, Ankur Srivastava
, Atish Sagar
, Nikul Kumari
, Susheel Kumar Sarkar
, Yash Makwana:
A Novel Approach for Development and Evaluation of LiDAR Navigated Electronic Maize Seeding System Using Check Row Quality Index. Sensors 21(17): 5934 (2021) - Yashwant Kurmi
, Suchi Gangwar, Dheeraj Agrawal
, Satrughan Kumar, Hari Shanker Srivastava
:
Leaf image analysis-based crop diseases classification. Signal Image Video Process. 15(3): 589-597 (2021) - Yashoverdhan Vyas
, Hari M. Srivastava
, Shivani Pathak
, Kalpana Fatawat
:
General Summation Formulas Contiguous to the q-Kummer Summation Theorems and Their Applications. Symmetry 13(6): 1102 (2021) - Ankur Gupta, Yash Varun, Prarthana Das, Nithya Muttineni, Parth Srivastava, Hamim Zafar, Tanmoy Chakraborty, Swaprava Nath:
TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting. CoRR abs/2102.00509 (2021) - Yash Srivastava, Saumya Singh, S. P. Syed Ibrahim:
Autonomous bot with ML-based reactive navigation for indoor environment. CoRR abs/2111.12542 (2021) - Harsh Sankar Naicker, Yash Srivastava, Akshara Pramod, Niket Paresh Ganatra, Deepakshi Sood, Saumya Singh, Velmathi Guruviah:
Water Care: Water Surface Cleaning Bot and Water Body Surveillance System. CoRR abs/2111.12579 (2021) - Nasreen Fathima, Akshara Pramod, Yash Srivastava, Anusha Maria Thomas, S. P. Syed Ibrahim, K. R. Chandran:
Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System. CoRR abs/2112.03704 (2021) - 2020
- Yashveer Kumar, Somveer Singh, Nikhil Srivastava
, Aman Singh, Vineet Kumar Singh
:
Wavelet approximation scheme for distributed order fractional differential equations. Comput. Math. Appl. 80(8): 1985-2017 (2020) - 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:
SunPy: A Python package for Solar Physics. J. Open Source Softw. 5(46): 1832 (2020) - Yash Gupta
, Anand Singh
, Ashutosh Bansal, Vivek Ashok Bohara, Anand Srivastava:
Deploying Visible Light Communication for Alleviating Light Pollution. IEEE ANTS 2020: 1-4 - Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
:
Hard-Mining Loss Based Convolutional Neural Network for Face Recognition. CVIP (3) 2020: 70-80 - Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
, Snehasis Mukherjee
:
Visual Question Answering Using Deep Learning: A Survey and Performance Analysis. CVIP (2) 2020: 75-86 - Anand Singh
, Yash Gupta
, Ashutosh Bansal, Anand Srivastava, Vivek Ashok Bohara, Anand Kumar Jagadeesan:
A Smart User-Centric Visible Light Communication System. ICTON 2020: 1-5 - 2019
- Yash Gupta
, Ashutosh Bansal, Anand Singh
, Vivek Ashok Bohara, Anand Srivastava, Khagendra Joshi:
A Smart User-Centric Visible Light Communication system. ANTS 2019: 1-4 - Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava
:
GenAttack: practical black-box attacks with gradient-free optimization. GECCO 2019: 1111-1119 - Dhruv Srivastava, Yasha Singh, Anita Sahoo
:
Auto Tuning of RNN Hyper-parameters using Cuckoo Search Algorithm. IC3 2019: 1-5 - Yash Tomar, Ayushi Srivastava, Arindam Dey, Ojaswa Sharma
:
Conformal Redirected Walking for Shared Indoor Spaces. VRCAI 2019: 17:1-17:8 - Yash Tomar, Ayushi Srivastava, Arindam Dey, Ojaswa Sharma:
Share My Space: A Novel Redirected Walking Method for Shared Indoor Spaces in Virtual Reality. VRST 2019: 34:1-34:2 - Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey:
A Performance Comparison of Loss Functions for Deep Face Recognition. CoRR abs/1901.05903 (2019) - Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey:
Hard-Mining Loss based Convolutional Neural Network for Face Recognition. CoRR abs/1908.09747 (2019) - Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey, Snehasis Mukherjee:
Visual Question Answering using Deep Learning: A Survey and Performance Analysis. CoRR abs/1909.01860 (2019) - Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey:
PSNet: Parametric Sigmoid Norm Based CNN for Face Recognition. CoRR abs/1912.10946 (2019)
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