Zobrazeno 1 - 10
of 62 887
pro vyhledávání: '"AN. Surya"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract A notable advancement in fuzzy set theory is the q-rung linear diophantine fuzzy set. The soft set theory was expanded into the hypersoft set theory. By combining both the q-rung linear diophantine fuzzy set and hypersoft set, this study des
Externí odkaz:
https://doaj.org/article/0f9a9f649bf84e53a6f4d0342ff9c741
This pilot study presents the development of the InfoTech Assistant, a domain-specific, multimodal chatbot engineered to address queries in bridge evaluation and infrastructure technology. By integrating web data scraping, large language models (LLMs
Externí odkaz:
http://arxiv.org/abs/2412.16412
Diagnostic errors in healthcare persist as a critical challenge, with increasing numbers of patients turning to online resources for health information. While AI-powered healthcare chatbots show promise, there exists no standardized and scalable fram
Externí odkaz:
http://arxiv.org/abs/2412.12538
Autor:
Yamamura, Atsushi, Ganguli, Surya
The deployment of artificial intelligence (AI) in critical decision-making and evaluation processes raises concerns about inherent biases that malicious actors could exploit to distort decision outcomes. We propose a systematic method to reveal such
Externí odkaz:
http://arxiv.org/abs/2412.15275
Autor:
Buoninfante, Luca, Knorr, Benjamin, Kumar, K. Sravan, Platania, Alessia, Anselmi, Damiano, Basile, Ivano, Bjerrum-Bohr, N. Emil J., Brandenberger, Robert, González, Mariana Carrillo, Davis, Anne-Christine, Dittrich, Bianca, Di Vecchia, Paolo, Donoghue, John F., Dowker, Fay, Dvali, Gia, Eichhorn, Astrid, Giddings, Steven B., Gnecchi, Alessandra, Gubitosi, Giulia, Heisenberg, Lavinia, Kallosh, Renata, Koshelev, Alexey S., Liberati, Stefano, Modesto, Leonardo, Moniz, Paulo, Oriti, Daniele, Papadoulaki, Olga, Pawlowski, Jan M., Percacci, Roberto, Rachwał, Lesław, Sakellariadou, Mairi, Salvio, Alberto, Stelle, Kellogg, Surya, Sumati, Tseytlin, Arkady, Turok, Neil, Van Riet, Thomas, Woodard, Richard P.
To deepen our understanding of Quantum Gravity and its connections with black holes and cosmology, building a common language and exchanging ideas across different approaches is crucial. The Nordita Program "Quantum Gravity: from gravitational effect
Externí odkaz:
http://arxiv.org/abs/2412.08696
Autor:
Alam, Nahid, Kanjula, Karthik Reddy, Guthikonda, Surya, Chung, Timothy, Vegesna, Bala Krishna S, Das, Abhipsha, Susevski, Anthony, Chan, Ryan Sze-Yin, Uddin, S M Iftekhar, Islam, Shayekh Bin, Santhosh, Roshan, A, Snegha, Sharma, Drishti, Liu, Chen, Chaturvedi, Isha, Winata, Genta Indra, S, Ashvanth., Mukherjee, Snehanshu, Aji, Alham Fikri
The rapid development of large Vision-Language Models (VLMs) has led to impressive results on academic benchmarks, primarily in widely spoken languages. However, significant gaps remain in the ability of current VLMs to handle low-resource languages
Externí odkaz:
http://arxiv.org/abs/2412.07112
Proper use of personal protective equipment (PPE) can save the lives of industry workers and it is a widely used application of computer vision in the large manufacturing industries. However, most of the applications deployed generate a lot of false
Externí odkaz:
http://arxiv.org/abs/2412.05531
Autor:
Kumar, S. Sivaprasad, Giri, Surya
We introduce and study a class of starlike functions associated with the non-convex domain \[ \mathcal{S}^*_{nc} = \left\{ f \in \mathcal{A} : \frac{z f'(z)}{f(z)} \prec \frac{1+z}{\cos{z}} =: \varphi_{nc}(z), \;\; z \in \mathbb{D} \right\}. \] Key r
Externí odkaz:
http://arxiv.org/abs/2412.04819
Autor:
Dheeshjith, Surya, Subel, Adam, Adcroft, Alistair, Busecke, Julius, Fernandez-Granda, Carlos, Gupta, Shubham, Zanna, Laure
AI emulators for forecasting have emerged as powerful tools that can outperform conventional numerical predictions. The next frontier is to build emulators for long climate simulations with skill across a range of spatiotemporal scales, a particularl
Externí odkaz:
http://arxiv.org/abs/2412.03795
Autor:
Sun, Ruoxi, Chang, Jiamin, Pearce, Hammond, Xiao, Chaowei, Li, Bo, Wu, Qi, Nepal, Surya, Xue, Minhui
Multimodal foundation models (MFMs) represent a significant advancement in artificial intelligence, combining diverse data modalities to enhance learning and understanding across a wide range of applications. However, this integration also brings uni
Externí odkaz:
http://arxiv.org/abs/2411.11195