Zobrazeno 1 - 10
of 601
pro vyhledávání: '"Kumar Raja"'
Autor:
Isaac Akomea-Frimpong, Portia Atswei Tetteh, Joshua Nsiah Addo Ofori, Roksana Jahan Tumpa, Fatemeh Pariafsai, Emmanuel Senior Tenakwah, Ikenna Elias Asogwa, Kumar Raja Vanapalli, Gibbson Adu-Gyamfi, Augustine Senanu Kukah, Emmanuel Junior Tenakwah
Publikováno v:
Discover Environment, Vol 2, Iss 1, Pp 1-21 (2024)
Abstract Circular economy (CE) has attracted considerable attention from governments, policymakers, and societies due to its potential to promote sustainable development goals while shifting away from linear economy models. Despite a growing body of
Externí odkaz:
https://doaj.org/article/f523d54f30354ee88cb3ea2a4ae89a32
Publikováno v:
Asian Journal of Medical Sciences, Vol 14, Iss 4, Pp 11-16 (2023)
Background: Coronavirus disease 2019 (COVID-19) was a recent global pandemic of the era which posed a great challenge for the health care in terms of preventive, diagnostic and treatment dimensions. The seroprevalence rate of COVID IgG antibodies is
Externí odkaz:
https://doaj.org/article/89a6c1ae8ccb4e0f8c8d1b465fc52536
Autor:
Tharani Balasubramanian, Uma Sambath, Ranjana Devi Radja, Gowdham Thangaraj, Panneer Devaraju, Lakshmy Srinivasan, Pushpa Srinivasan, Madhavan Gopalakrishnan Nair, Kumar Raja, Avinash Warundeo Lakkawar, Lynn Soong
Publikováno v:
Microorganisms, Vol 12, Iss 4, p 748 (2024)
Scrub typhus is a re-emerging disease caused by Orientia tsutsugamushi, transmitted by mites belonging to the family Trombiculidae. Humans and rodents acquire the infection by the bite of larval mites/chiggers. Suncus murinus, the Asian house shrew,
Externí odkaz:
https://doaj.org/article/29f0343e58a2434ca9db3cc97318697b
Publikováno v:
Asian Journal of Medical Sciences, Vol 14, Iss 2, Pp 112-116 (2023)
Background: Type 2 diabetes mellitus (Type 2 DM) is one of the leading risk factors for cardiovascular diseases. Although the awareness of the need for screening and treatment for Type-2 DM is widely prevalent, the awareness of complications arising
Externí odkaz:
https://doaj.org/article/8d2907825898403897dc3531d7010ffa
Autor:
Kumar, Raja, Vats, Vanshika
3D Gaussian splatting has surpassed neural radiance field methods in novel view synthesis by achieving lower computational costs and real-time high-quality rendering. Although it produces a high-quality rendering with a lot of input views, its perfor
Externí odkaz:
http://arxiv.org/abs/2410.11080
Deep multimodal learning has shown remarkable success by leveraging contrastive learning to capture explicit one-to-one relations across modalities. However, real-world data often exhibits shared relations beyond simple pairwise associations. We prop
Externí odkaz:
http://arxiv.org/abs/2409.17777
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 7, Iss 6, Pp 1619-1631 (2019)
In power market environment, the growing importance of demand response (DR) and renewable energy source (RES) attracts more for-profit DR and RES aggregators to compete with each other to maximize their profit. Meanwhile, the intermittent natures of
Externí odkaz:
https://doaj.org/article/44bc4ed99f8345ea982b6cfb5221b9c3
Mental disorders pose a global challenge, aggravated by the shortage of qualified mental health professionals. Mental disorder prediction from social media posts by current LLMs is challenging due to the complexities of sequential text data and the l
Externí odkaz:
http://arxiv.org/abs/2406.15470
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 3, Iss , Pp 100071- (2021)
Microplastics (MPs) are ubiquitous in the aquatic environment due to plastic waste proliferation in diverse sectors. The recent years have witnessed exponential growth in the number of studies focusing on their occurrence, distribution and toxicity i
Externí odkaz:
https://doaj.org/article/4df61f85b4d74be1b5f879410a3af40b
Autor:
Chen, Yuhao, Wong, Chloe, Yang, Hanwen, Aguenza, Juan, Bhujangari, Sai, Vu, Benthan, Lei, Xun, Prasad, Amisha, Fluss, Manny, Phuong, Eric, Liu, Minghao, Kumar, Raja, Vats, Vanshika, Davis, James
This study critically evaluates the efficacy of prompting methods in enhancing the mathematical reasoning capability of large language models (LLMs). The investigation uses three prescriptive prompting methods - simple, persona, and conversational pr
Externí odkaz:
http://arxiv.org/abs/2312.15006