Zobrazeno 1 - 10
of 14 755
pro vyhledávání: '"P Karthikeyan"'
Autor:
Sangeetha S.K.B, Sandeep Kumar Mathivanan, P Karthikeyan, Hariharan Rajadurai, Basu Dev Shivahare, Saurav Mallik, Hong Qin
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200068- (2024)
Cancer remains one of the leading causes of mortality worldwide, necessitating continuous advancements in early diagnosis and treatment. Deep learning, a subset of artificial intelligence, has emerged as a powerful tool in the field of medical image
Externí odkaz:
https://doaj.org/article/f1c42215c6104acfb497cc0f465717db
Autor:
S K B Sangeetha, M Sivakumar, Sandeep Kumar Mathivanan, Hariharan Rajadurai, P Karthikeyan, Mohd Asif Shah
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0307187 (2024)
In the urban scene segmentation, the "image-to-image translation issue" refers to the fundamental task of transforming input images into meaningful segmentation maps, which essentially involves translating the visual information present in the input
Externí odkaz:
https://doaj.org/article/ad297cb151ee48399adf2d11db04bbd3
Autor:
Jafari, Sajad, Bayani, Atiyeh, Parastesh, Fatemeh, Rajagopal, Karthikeyan, del Genio, Charo I., Minati, Ludovico, Boccaletti, Stefano
The Master Stability Function is a robust and useful tool for determining the conditions of synchronization stability in a network of coupled systems. While a comprehensive classification exists in the case in which the nodes are chaotic dynamical sy
Externí odkaz:
http://arxiv.org/abs/2409.04193
Autor:
Padhi, Inkit, Ramamurthy, Karthikeyan Natesan, Sattigeri, Prasanna, Nagireddy, Manish, Dognin, Pierre, Varshney, Kush R.
Aligning large language models (LLMs) to value systems has emerged as a significant area of research within the fields of AI and NLP. Currently, this alignment process relies on the availability of high-quality supervised and preference data, which c
Externí odkaz:
http://arxiv.org/abs/2408.10392
Autor:
Akbar, Muhammad Azeem, Esposito, Matteo, Hyrynsalmi, Sami, Kumar, Karthikeyan Dinesh, Lenarduzzi, Valentina, Li, Xiaozhou, Mehraj, Ali, Mikkonen, Tommi, Moreschini, Sergio, Mäkitalo, Niko, Oivo, Markku, Paavonen, Anna-Sofia, Parveen, Risha, Smolander, Kari, Su, Ruoyu, Systä, Kari, Taibi, Davide, Yang, Nan, Zhang, Zheying, Zohaib, Muhammad
In the era of 6G, developing and managing software requires cutting-edge software engineering (SE) theories and practices tailored for such complexity across a vast number of connected edge devices. Our project aims to lead the development of sustain
Externí odkaz:
http://arxiv.org/abs/2407.05963
Publikováno v:
Indian Journal of Anaesthesia, Vol 65, Iss 8, Pp 586-592 (2021)
Background and Aims: Baska Mask, a newly designed third-generation supraglottic device, has a sump where the pharyngeal secretions can collect and be suctioned out continuously. We aimed to study the effectiveness of Baska Mask in preventing airway c
Externí odkaz:
https://doaj.org/article/0cbd3c343b0340c3ab817e4b5cf1b973
Autor:
Moschopoulos, Vasileios, Kotsiopoulos, Thanasis, Parada, Pablo Peso, Nikiforidis, Konstantinos, Stergiadis, Alexandros, Papakostas, Gerasimos, Jalal, Md Asif, Zhang, Jisi, Drosou, Anastasios, Saravanan, Karthikeyan
State-of-the art Text-To-Music (TTM) generative AI models are large and require desktop or server class compute, making them infeasible for deployment on mobile phones. This paper presents an analysis of trade-offs between model compression and gener
Externí odkaz:
http://arxiv.org/abs/2406.17159
Despite the multifaceted recent advances in interventional causal representation learning (CRL), they primarily focus on the stylized assumption of single-node interventions. This assumption is not valid in a wide range of applications, and generally
Externí odkaz:
http://arxiv.org/abs/2406.05937
The ability to summarize and organize knowledge into abstract concepts is key to learning and reasoning. Many industrial applications rely on the consistent and systematic use of concepts, especially when dealing with decision-critical knowledge. How
Externí odkaz:
http://arxiv.org/abs/2405.20163
We introduce the Glauber Generative Model (GGM), a new class of discrete diffusion models, to obtain new samples from a distribution given samples from a discrete space. GGM deploys a discrete Markov chain called the heat bath dynamics (or the Glaube
Externí odkaz:
http://arxiv.org/abs/2405.17035