Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Gobinda Saha"'
Publikováno v:
IEEE Access, Vol 9, Pp 150480-150494 (2021)
Humans learn incrementally from sequential experiences throughout their lives, which has proven hard to emulate in artificial neural networks. Incrementally learning tasks causes neural networks to overwrite relevant information learned about older t
Externí odkaz:
https://doaj.org/article/46706ff8450743849542b1376c3fdb24
Publikováno v:
IEEE Access, Vol 8, Pp 91405-91414 (2020)
In-memory computing (IMC) is a promising approach for energy cost reduction due to data movement between memory and processor for running data-intensive deep learning applications on the computing systems. Together with Binary Neural Network (BNN), I
Externí odkaz:
https://doaj.org/article/ef9e07726523424ca1b32684a963c970
Autor:
Hai-Tian Zhang, Fan Zuo, Feiran Li, Henry Chan, Qiuyu Wu, Zhan Zhang, Badri Narayanan, Koushik Ramadoss, Indranil Chakraborty, Gobinda Saha, Ganesh Kamath, Kaushik Roy, Hua Zhou, Alexander A. Chubykin, Subramanian K. R. S. Sankaranarayanan, Jong Hyun Choi, Shriram Ramanathan
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
Functional materials that act as bio-sensing media when interfaced with complex bio-matter are attractive for health sciences and bio-engineering. Here, the authors report room temperature enzyme-mediated spontaneous hydrogen transfer between a perov
Externí odkaz:
https://doaj.org/article/d6119cd23af24680baf22f4158decf1d
Autor:
Gobinda Saha, Amit Baran Sharangi, Tarun Kumar Upadhyay, Lamya Ahmed Al-Keridis, Nawaf Alshammari, Nadiyah M. Alabdallah, Mohd Saeed
Publikováno v:
Agronomy, Vol 12, Iss 6, p 1420 (2022)
Drying involves removing moisture from food. Therefore, to preserve the phenolic and bioactive compounds such as curcumin, dimethoxy curcumin and bisdemethoxi curcumin, etc., an efficient drying method is considered necessary. The primary drying meth
Externí odkaz:
https://doaj.org/article/ea1c51e45ff44374a17122778009362f
Autor:
Lihua Liu, Daniel Mendoza-Espinosa, Mauricio Quiroz-Guzmán, Arnold L. Rheingold, Tracy A. Hanna, Gobinda Saha, Liming Tang, Yanhui Chen, Megan Gilbert, Abhirup Dutta, Alexandru D. Asandei
Publikováno v:
Organometallics. 42:414-434
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0fc1687c33a56c1eb8216956d20b27f
https://doi.org/10.1021/acs.organomet.3c00053
https://doi.org/10.1021/acs.organomet.3c00053
Publikováno v:
Proceedings of the 59th ACM/IEEE Design Automation Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b37bd85f245f459094c34fbc555db2ec
https://doi.org/10.1145/3489517.3530642
https://doi.org/10.1145/3489517.3530642
Publikováno v:
Materials Science in Additive Manufacturing. 1
The cold gas dynamic spray process is a manufacturing process strategically designed for coatings. The conditions for the deposition of materials to form coatings have evolved over several decades. Copper and copper-based cold spray coatings are an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7d203ec8d6fda496b8fc233561ca67e
https://doi.org/10.18063/msam.v1i2.12
https://doi.org/10.18063/msam.v1i2.12
Autor:
Gobinda Saha, Farhan Chowdhury Asif
Publikováno v:
C. 9:31
Biomass pyrolysis is a promising route for synthesizing graphene-like carbon (GLC) structures, potentially offering a cost-effective and renewable alternative to graphene. This review paper responds to the call for highlighting the state of the art i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4083818a46e9bbc224ad7d970ba1b99
https://doi.org/10.3390/c9010031
https://doi.org/10.3390/c9010031
Publikováno v:
International Journal of Current Microbiology and Applied Sciences. 9:3137-3147
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48ed0df43f6313c26ce6ed059b043ee6
https://doi.org/10.20546/ijcmas.2020.911.378
https://doi.org/10.20546/ijcmas.2020.911.378
Publikováno v:
IEEE Access, Vol 8, Pp 91405-91414 (2020)
In-memory computing (IMC) is a promising approach for energy cost reduction due to data movement between memory and processor for running data-intensive deep learning applications on the computing systems. Together with Binary Neural Network (BNN), I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39b5cdcb3a5f723673ce26d2e2c61f2e
https://ieeexplore.ieee.org/document/9091590/
https://ieeexplore.ieee.org/document/9091590/