Zobrazeno 1 - 10
of 11 417
pro vyhledávání: '"Baskar A"'
Autor:
Baskar A
Publikováno v:
Journal of Applied Science and Engineering, Vol 25, Iss 6, Pp 1105-1120 (2022)
Heuristics play a key role in solving optimization problems with complex functions. They are popular as efficient heuristics are capable of providing results quickly with acceptable solution quality. Population-based heuristics are stochastic and he
Externí odkaz:
https://doaj.org/article/2bc8b48659c74a5ba95e1c0b12c2853c
Autor:
Linjiang Lou, Baskar Arumugam, Li-Fang Hung, Zhihui She, Krista M. Beach, Earl L. Smith, Lisa A. Ostrin
Publikováno v:
Frontiers in Physiology, Vol 13 (2023)
Externí odkaz:
https://doaj.org/article/e8892855c41b45b5ad5e67d2ff086ca3
Autor:
Tali, Ronak, Rabeh, Ali, Yang, Cheng-Hau, Shadkhah, Mehdi, Karki, Samundra, Upadhyaya, Abhisek, Dhakshinamoorthy, Suriya, Saadati, Marjan, Sarkar, Soumik, Krishnamurthy, Adarsh, Hegde, Chinmay, Balu, Aditya, Ganapathysubramanian, Baskar
Simulating fluid flow around arbitrary shapes is key to solving various engineering problems. However, simulating flow physics across complex geometries remains numerically challenging and computationally resource-intensive, particularly when using c
Externí odkaz:
http://arxiv.org/abs/2409.18032
Autor:
Khosravi, Mahsa, Carroll, Matthew, Tan, Kai Liang, Van der Laan, Liza, Raigne, Joscif, Mueller, Daren S., Singh, Arti, Balu, Aditya, Ganapathysubramanian, Baskar, Singh, Asheesh Kumar, Sarkar, Soumik
Agricultural production requires careful management of inputs such as fungicides, insecticides, and herbicides to ensure a successful crop that is high-yielding, profitable, and of superior seed quality. Current state-of-the-art field crop management
Externí odkaz:
http://arxiv.org/abs/2409.00735
Large Transformer networks are increasingly used in settings where low inference latency can improve the end-user experience and enable new applications. However, autoregressive inference is resource intensive and requires parallelism for efficiency.
Externí odkaz:
http://arxiv.org/abs/2408.07802
Autor:
Arshad, Muhammad Arbab, Jubery, Talukder Zaki, Roy, Tirtho, Nassiri, Rim, Singh, Asheesh K., Singh, Arti, Hegde, Chinmay, Ganapathysubramanian, Baskar, Balu, Aditya, Krishnamurthy, Adarsh, Sarkar, Soumik
Plant stress phenotyping traditionally relies on expert assessments and specialized models, limiting scalability in agriculture. Recent advances in multimodal large language models (LLMs) offer potential solutions to this challenge. We present AgEval
Externí odkaz:
http://arxiv.org/abs/2407.19617
This paper explores speculative speech recognition (SSR), where we empower conventional automatic speech recognition (ASR) with speculation capabilities, allowing the recognizer to run ahead of audio. We introduce a metric for measuring SSR performan
Externí odkaz:
http://arxiv.org/abs/2407.04641
Autor:
Jignasu, Anushrut, Marshall, Kelly O., Mishra, Ankush Kumar, Rillo, Lucas Nerone, Ganapathysubramanian, Baskar, Balu, Aditya, Hegde, Chinmay, Krishnamurthy, Adarsh
G-code (Geometric code) or RS-274 is the most widely used computer numerical control (CNC) and 3D printing programming language. G-code provides machine instructions for the movement of the 3D printer, especially for the nozzle, stage, and extrusion
Externí odkaz:
http://arxiv.org/abs/2407.04180
Accurately modeling the dynamics of high-density ratio ($\mathcal{O}(10^5)$) two-phase flows is important for many applications in material science and manufacturing. In this work, we consider numerical simulations of molten metal undergoing microgra
Externí odkaz:
http://arxiv.org/abs/2406.17933
Autor:
Yang, Chih-Hsuan, Feuer, Benjamin, Jubery, Zaki, Deng, Zi K., Nakkab, Andre, Hasan, Md Zahid, Chiranjeevi, Shivani, Marshall, Kelly, Baishnab, Nirmal, Singh, Asheesh K, Singh, Arti, Sarkar, Soumik, Merchant, Nirav, Hegde, Chinmay, Ganapathysubramanian, Baskar
We introduce Arboretum, the largest publicly accessible dataset designed to advance AI for biodiversity applications. This dataset, curated from the iNaturalist community science platform and vetted by domain experts to ensure accuracy, includes 134.
Externí odkaz:
http://arxiv.org/abs/2406.17720