Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Koundinya P"'
Autor:
Gundavarapu, Saaketh Koundinya, Agarwal, Shreya, Arora, Arushi, Jagadeeshaiah, Chandana Thimmalapura
Machine unlearning, a novel area within artificial intelligence, focuses on addressing the challenge of selectively forgetting or reducing undesirable knowledge or behaviors in machine learning models, particularly in the context of large language mo
Externí odkaz:
http://arxiv.org/abs/2405.15152
We present SLIP (SAM+CLIP), an enhanced architecture for zero-shot object segmentation. SLIP combines the Segment Anything Model (SAM) \cite{kirillov2023segment} with the Contrastive Language-Image Pretraining (CLIP) \cite{radford2021learning}. By in
Externí odkaz:
http://arxiv.org/abs/2405.07284
Autor:
Hales, Thomas, Vajjha, Koundinya
This book uses optimal control theory to prove that the most unpackable centrally symmetric convex disk in the plane is a smoothed polygon. A smoothed polygon is a polygon whose corners have been rounded in a special way by arcs of hyperbolas. To be
Externí odkaz:
http://arxiv.org/abs/2405.04331
Autor:
Safavigerdini, Kaveh, Nouduri, Koundinya, Surya, Ramakrishna, Reinhard, Andrew, Quinlan, Zach, Bunyak, Filiz, Maschmann, Matthew R., Palaniappan, Kannappan
We present a pipeline for predicting mechanical properties of vertically-oriented carbon nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI)-based materials discovery. Our approach incorporates an innovative data
Externí odkaz:
http://arxiv.org/abs/2307.07912
Autor:
Rakshita Sukruth Kolipakala, Suranjana Basu, Senjuti Sarkar, Beneta Merin Biju, Daniela Salazar, Likhit Reddy, Pushya Pradeep, Muniraj Krishnaveni Yuvapriya, Shrijita Nath, Riley Gall, Anish Hemanth Samprathi, Harshitha Balaji, Eeshaan A. B. Koundinya, Aparna Shetye, Deepesh Nagarajan
Publikováno v:
ACS Omega, Vol 9, Iss 34, Pp 36353-36370 (2024)
Externí odkaz:
https://doaj.org/article/9beed1c300aa4d0c9e17e8f48ac6c595
Autor:
Vajjha, Koundinya
We describe a reformulation (following Hales (2017)) of a 1934 conjecture of Reinhardt on pessimal packings of convex domains in the plane as a problem in optimal control theory. Several structural results of this problem including its Hamiltonian st
Externí odkaz:
http://arxiv.org/abs/2208.04443
Autor:
Samuel Ikendi, Natalia Pinzón, Vikram Koundinya, Namah Taku-Forchu, Leslie M. Roche, Steven M. Ostoja, Lauren E. Parker, Daniele Zaccaria, Mark H. Cooper, Jairo N. Diaz-Ramirez, Sonja Brodt, Mark Battany, Jhalendra P. Rijal, Tapan B. Pathak
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 8 (2024)
California is the largest agricultural economy in the United States; however, its current and projected climate risks pose significant challenges. Farmers will need to adapt to climate change in their farming practices. The goal of this needs assessm
Externí odkaz:
https://doaj.org/article/2532e1ca18634b4fa406e19300046375
Autor:
Jessica Kanter, Michelle Leinfelder-Miles, Nicholas Clark, Mark E. Lundy, Vikram Koundinya, Rachael Long, Sarah E. Light, Whitney B. Brim-DeForest, Bruce Linquist, Daniel Putnam, Robert B. Hutmacher, Cameron M. Pittelkow
Publikováno v:
California Agriculture, Vol 78, Iss 2 (2024)
Agronomic crop production in California, including grains and animal feed, faces multiple challenges that could be addressed by extension support. This means that extension services need to understand priorities for using their limited resources. Unt
Externí odkaz:
https://doaj.org/article/3f06496dbb014773b02cefebcd73a556
Stochastic approximation algorithms are iterative procedures which are used to approximate a target value in an environment where the target is unknown and direct observations are corrupted by noise. These algorithms are useful, for instance, for roo
Externí odkaz:
http://arxiv.org/abs/2202.05959
Autor:
Kartik Pramanik, Gouri Shankar Sahu, Gobinda Chandra Acharya, Pradyumna Tripathy, Manasi Dash, A.V.V. Koundinya, Chinmaya Jena, Duvvada Sarath Kumar, Priyadarshani P. Mohapatra, Jyostnarani Pradhan, S. Karubakee, Durga Prasad Moharana
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26918- (2024)
The presence of strong G x E (genotype by environment interaction) is a major hurdle for selecting superior genotypes when genotypes are placed into new and unfamiliar production systems. Genotype or cultivar (s) with high yield potential and having
Externí odkaz:
https://doaj.org/article/b43f84b601604107ab3ff8c4f6a7b309