Zobrazeno 1 - 10
of 5 392
pro vyhledávání: '"Sundararajan P"'
Autor:
Kanghoon Kim, Jae-In Yoo, Hyo-Bin Kim, Sung-Cheon Kang, Jincheol Jang, Sundararajan Parani, Jang-Kun Song
Publikováno v:
Journal of Information Display, Vol 25, Iss 3, Pp 235-242 (2024)
Efficient charge generation is essential for tandem organic light-emitting diode (OLED) devices. In this study, we introduce a p-type copper iodide (CuI) layer within the charge generation layer (CGL) that exhibits high charge generation efficiency i
Externí odkaz:
https://doaj.org/article/e93ad68458384cc3a8e09384f35305e4
Autor:
Ncediwe Tsolekile, Sundararajan Parani, Thabang Calvin Lebepe, Rodney Maluleke, Vuyelwa Ncapayi, Mangaka Clara Matoetoe, Sandile Phinda Songca, Oluwatobi Samuel Oluwafemi
Publikováno v:
Organics, Vol 4, Iss 1, Pp 126-136 (2023)
In the present work, we report a simple synthetic strategy for fabricating ZnCuInS/ZnS–TPPS4 conjugates and study its cytotoxicity as a promising material for imaging and phototherapy applications. The quaternary QDs were synthesized using eco-frie
Externí odkaz:
https://doaj.org/article/2813cbba2c114099a56d7f6234d6ff13
Publikováno v:
Journal of Diabetology, Vol 13, Iss 3, Pp 285-293 (2022)
Objective: The present study aims to evaluate the association between sociodemographic characteristics and health-related quality of life (HRQoL) among diabetic patients attending a clinic situated in the Warangal region of Telangana, India. Material
Externí odkaz:
https://doaj.org/article/8c4f7ad9d7e04ea9947654b0cdc1ca46
Autor:
Block, Jacob L., Srinivasan, Sundararajan, Collins, Liam, Mokhtari, Aryan, Shakkottai, Sanjay
The power of foundation models (FMs) lies in their capacity to learn highly expressive representations that can be adapted to a broad spectrum of tasks. However, these pretrained models require multiple stages of fine-tuning to become effective for d
Externí odkaz:
http://arxiv.org/abs/2410.22264
Autor:
He, Han, Liu, Qianchu, Xu, Lei, Shivade, Chaitanya, Zhang, Yi, Srinivasan, Sundararajan, Kirchhoff, Katrin
Existing automatic prompt engineering methods are typically designed for discriminative tasks, where new task prompts are iteratively refined with limited feedback from a single metric reflecting a single aspect. However, these approaches are subopti
Externí odkaz:
http://arxiv.org/abs/2410.02748
Autor:
Maya, Neethu, Poolla, Bala Kameshwar, Srinivasan, Seshadhri, Sundararajan, Narasimman, Sundaram, Suresh
This paper presents a Dynamic Internal Predictive Power Scheduling (DIPPS) approach for optimizing power management in microgrids, particularly focusingon external power exchanges among diverse prosumers. DIPPS utilizes a dynamic objective function w
Externí odkaz:
http://arxiv.org/abs/2409.16643
Publikováno v:
Phys. Chem. Chem. Phys., (2024), 26, 19332-19348
The aromatic infrared Bands (AIBs) dominate the mid-infrared spectra of many galactic and extragalactic sources. These AIBs are generally attributed to fluorescent emission from aromatic molecules. Unified efforts from experimentalists and theoretici
Externí odkaz:
http://arxiv.org/abs/2408.13072
Autor:
Niknazar, Mohammad, Haley, Paul V, Ramanan, Latha, Truong, Sang T., Shrinivasan, Yedendra, Bhowmick, Ayan Kumar, Dey, Prasenjit, Jagmohan, Ashish, Maheshwari, Hema, Ponoth, Shom, Smith, Robert, Vempaty, Aditya, Haber, Nick, Koyejo, Sanmi, Sundararajan, Sharad
Generative AI holds the promise of enabling a range of sought-after capabilities and revolutionizing workflows in various consumer and enterprise verticals. However, putting a model in production involves much more than just generating an output. It
Externí odkaz:
http://arxiv.org/abs/2408.01452
End-to-end neural diarization (EEND) models offer significant improvements over traditional embedding-based Speaker Diarization (SD) approaches but falls short on generalizing to long-form audio with large number of speakers. EEND-vector-clustering m
Externí odkaz:
http://arxiv.org/abs/2406.18679
Speaker Diarization (SD) systems are typically audio-based and operate independently of the ASR system in traditional speech transcription pipelines and can have speaker errors due to SD and/or ASR reconciliation, especially around speaker turns and
Externí odkaz:
http://arxiv.org/abs/2406.17266