Zobrazeno 1 - 10
of 3 345
pro vyhledávání: '"Srihari P"'
Publikováno v:
Beilstein Journal of Organic Chemistry, Vol 20, Iss 1, Pp 2493-2499 (2024)
The batch processes of APIs/pharmaceutical synthesis are prone to suffer significant limitations, including longer process time, shortage of skilled manpower, laborious post-synthetic work-up, etc. To address the inherent limitations of batch process
Externí odkaz:
https://doaj.org/article/d7cf0c156c3b49e9b349ad5ff059616d
Autor:
Bharath Kumar Yasam, Srihari Pabbaraja
Publikováno v:
SynOpen, Vol 06, Iss 04, Pp 227-237 (2022)
A flexible stereoselective and convergent cum divergent approach to the synthesis of two 13-membered macrolides through a common skeleton present in their structure is described featuring two different routes, with good overall yield. The key synthet
Externí odkaz:
https://doaj.org/article/a94f284f65e14367997522a88aa17046
Autor:
Roshan Jacob, MD, Kelly Chandler, BS, Jacob Hagewood, BS, Srihari Prahad, BS, Mackenzie Sowers, BS, Sameer Naranje, MD
Publikováno v:
Journal of Taibah University Medical Sciences, Vol 17, Iss 2, Pp 186-191 (2022)
الملخص: أهداف البحث: تم سابقا رصد تأثيرات الفيروس التاجي الجديد (كوفيد-19) على الجهاز العضلي الهيكلي مع تنوع كبير. الغرض من هذه الدراسة هو ت
Externí odkaz:
https://doaj.org/article/6f120b5cc61b44e587fe0716fb6b96fb
Autor:
Chandra Shekhar, Rajesh Nasam, Siva Ramakrishna Paipuri, Prakash Kumar, Kiranmai Nayani, Srihari Pabbaraja, Prathama S. Mainkar, Srivari Chandrasekhar
Publikováno v:
Tetrahedron Chem, Vol 4, Iss , Pp 100033- (2022)
The emergence and rapid spread of coronavirus disease 2019 (COVID-19), a potentially fatal disease, caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has swiftly led to public health crisis worldwide. Hence vaccines and antivira
Externí odkaz:
https://doaj.org/article/f7a034bb161d43b6971c39d17bb253d0
Radio frequency (RF) communication has been an important part of civil and military communication for decades. With the increasing complexity of wireless environments and the growing number of devices sharing the spectrum, it has become critical to e
Externí odkaz:
http://arxiv.org/abs/2410.18283
Autor:
Madani, Navid, Bagalkotkar, Anusha, Anand, Supriya, Arnson, Gabriel, Srihari, Rohini, Joseph, Kenneth
In recent years, there has been significant effort to align large language models with human preferences. This work focuses on developing a chatbot specialized in the real estate domain, with an emphasis on incorporating compliant behavior to ensure
Externí odkaz:
http://arxiv.org/abs/2410.10860
Autor:
Moslehpour, Mohsen, Lu, Yichao, Chuang, Pierce, Shenoy, Ashish, Chatterjee, Debojeet, Harpale, Abhay, Jayakumar, Srihari, Bhardwaj, Vikas, Nam, Seonghyeon, Kumar, Anuj
QR codes have become ubiquitous in daily life, enabling rapid information exchange. With the increasing adoption of smart wearable devices, there is a need for efficient, and friction-less QR code reading capabilities from Egocentric point-of-views.
Externí odkaz:
http://arxiv.org/abs/2410.05497
This work addresses the persistent challenges of substantial training time and GPU resource requirements even when training lightweight encoder-vocoder models for Textless NLP. We reduce training steps significantly while improving performance by a)
Externí odkaz:
http://arxiv.org/abs/2409.19015
Autor:
Xu, Rengan, Yang, Junjie, Xu, Yifan, Li, Hong, Liu, Xing, Shankar, Devashish, Zhang, Haoci, Liu, Meng, Li, Boyang, Hu, Yuxi, Tang, Mingwei, Zhang, Zehua, Zhang, Tunhou, Li, Dai, Chen, Sijia, Musumeci, Gian-Paolo, Zhai, Jiaqi, Zhu, Bill, Yan, Hong, Reddy, Srihari
The integration of hardware accelerators has significantly advanced the capabilities of modern recommendation systems, enabling the exploration of complex ranking paradigms previously deemed impractical. However, the GPU-based computational costs pre
Externí odkaz:
http://arxiv.org/abs/2409.15373
Autor:
Chauhan, Mihir, Satbhai, Abhishek, Hashemi, Mohammad Abuzar, Ali, Mir Basheer, Ramamurthy, Bina, Gao, Mingchen, Lyu, Siwei, Srihari, Sargur
Handwriting Verification is a critical in document forensics. Deep learning based approaches often face skepticism from forensic document examiners due to their lack of explainability and reliance on extensive training data and handcrafted features.
Externí odkaz:
http://arxiv.org/abs/2407.21788