Zobrazeno 1 - 10
of 103 071
pro vyhledávání: '"Raman AS"'
With recent advancements in artificial intelligence (AI), there has been growing interest in using state of the art (SOTA) AI solutions to provide assistance in grading handwritten answer sheets. While a few commercial products exist, the question of
Externí odkaz:
http://arxiv.org/abs/2408.12870
The utilization of AI in an increasing number of fields is the latest iteration of a long process, where machines and systems have been replacing humans, or changing the roles that they play, in various tasks. Although humans are often resistant to t
Externí odkaz:
http://arxiv.org/abs/2408.12781
Publikováno v:
MAA FOCUS, vol. 44, 2024, no. 4, pp. 18-22
We investigate fractal structures in African and African diasporic music, building on hypotheses of choreographer Reggie Wilson and research on fractals in African material culture by Ron Eglash.
Comment: 8 pages
Comment: 8 pages
Externí odkaz:
http://arxiv.org/abs/2408.10400
Autor:
Lin, Xingqin, Kundu, Lopamudra, Dick, Chris, Galdon, Maria Amparo Canaveras, Vamaraju, Janaki, Dutta, Swastika, Raman, Vinay
The rise of generative artificial intelligence (GenAI) is transforming the telecom industry. GenAI models, particularly large language models (LLMs), have emerged as powerful tools capable of driving innovation, improving efficiency, and delivering s
Externí odkaz:
http://arxiv.org/abs/2408.09031
Autor:
R, Sanjjushri Varshini, Mahadevan, Rohith, S, Bagiya Lakshmi, Periasamy, Mathivanan, Raman, Raja CSP, M, Lokesh
This research tackles the challenge of speckle noise in Synthetic Aperture Radar (SAR) space data, a prevalent issue that hampers the clarity and utility of SAR images. The study presents a comparative analysis of six distinct speckle noise reduction
Externí odkaz:
http://arxiv.org/abs/2408.08774
Autor:
Xue, Yuyang, Yan, Junyu, Dutt, Raman, Haider, Fasih, Liu, Jingshuai, McDonagh, Steven, Tsaftaris, Sotirios A.
Developing models with robust group fairness properties is paramount, particularly in ethically sensitive domains such as medical diagnosis. Recent approaches to achieving fairness in machine learning require a substantial amount of training data and
Externí odkaz:
http://arxiv.org/abs/2408.06890
Autor:
Handa, Palak, Mahbod, Amirreza, Schwarzhans, Florian, Woitek, Ramona, Goel, Nidhi, Chhabra, Deepti, Jha, Shreshtha, Dhir, Manas, Gunjan, Deepak, Kakarla, Jagadeesh, Raman, Balasubramanian
We present the Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. It is being virtually organized by the Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Med
Externí odkaz:
http://arxiv.org/abs/2408.04940
Autor:
Yalcinkaya, Dilek M., Youssef, Khalid, Heydari, Bobak, Wei, Janet, Merz, Noel Bairey, Judd, Robert, Dharmakumar, Rohan, Simonetti, Orlando P., Weinsaft, Jonathan W., Raman, Subha V., Sharif, Behzad
Background. Fully automatic analysis of myocardial perfusion MRI datasets enables rapid and objective reporting of stress/rest studies in patients with suspected ischemic heart disease. Developing deep learning techniques that can analyze multi-cente
Externí odkaz:
http://arxiv.org/abs/2408.04805
Autor:
Kaufmann, Marc, Lakis, Kostas, Lengler, Johannes, Ravi, Raghu Raman, Schaller, Ulysse, Sturm, Konstantin
We study push-pull rumour spreading in small-world models for social networks where the degrees follow a power-law. In a non-geometric setting Fountoulakis, Panagiotou and Sauerwald have shown that rumours always spread fast (SODA 2012). On the other
Externí odkaz:
http://arxiv.org/abs/2408.01268
Realizing deterministic, high-fidelity entangling interactions--of the kind that can be utilized for efficient quantum information processing--between photons remains an elusive goal. Here, we address this long-standing issue by devising a protocol f
Externí odkaz:
http://arxiv.org/abs/2407.20368