Zobrazeno 1 - 10
of 1 013
pro vyhledávání: '"A. Srinivasaraghavan"'
Publikováno v:
Advances in Neural Networks - ISNN 2019 Proceedings, Part I 16. Lecture Notes in Computer Science(), vol 11554
Among the many variants of RL, an important class of problems is where the state and action spaces are continuous -- autonomous robots, autonomous vehicles, optimal control are all examples of such problems that can lend themselves naturally to reinf
Externí odkaz:
http://arxiv.org/abs/2410.11250
Autor:
Yi Fei Lee, Cheryl Zi Jin Phua, Ju Yuan, Bin Zhang, May Yin Lee, Srinivasaraghavan Kannan, Yui Hei Jasper Chiu, Casslynn Wei Qian Koh, Choon Kong Yap, Edwin Kok Hao Lim, Jianbin Chen, Yuhua Lim, Jane Jia Hui Lee, Anders Jacobsen Skanderup, Zhenxun Wang, Weiwei Zhai, Nguan Soon Tan, Chandra S. Verma, Yvonne Tay, Daniel Shao Weng Tan, Wai Leong Tam
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-21 (2024)
Abstract Background The identification of cancer driver genes from sequencing data has been crucial in deepening our understanding of tumor biology and expanding targeted therapy options. However, apart from the most commonly altered genes, the mecha
Externí odkaz:
https://doaj.org/article/d7f9b649903749499dd3d17fb11e06b1
In this paper, we propose an AI based approach to Trailer Generation in the form of short videos for online educational courses. Trailers give an overview of the course to the learners and help them make an informed choice about the courses they want
Externí odkaz:
http://arxiv.org/abs/2301.03957
Autor:
Beena Koshy, Manikandan Srinivasan, Rangan Srinivasaraghavan, Reeba Roshan, Venkata Raghava Mohan, Karthikeyan Ramanujam, Sushil John, Gagandeep Kang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Experiences in early childhood form the bedrock of future human potential. In impoverished settings, structured early childhood education (ECE) in preschool years can augment overall childhood and later human abilities. The current study eva
Externí odkaz:
https://doaj.org/article/ba06591ac23440689ea8bb15cd0b9cb6
Autor:
Arun Chandramohan, Hubert Josien, Tsz Ying Yuen, Ruchia Duggal, Diana Spiegelberg, Lin Yan, Yu-Chi Angela Juang, Lan Ge, Pietro G. Aronica, Hung Yi Kristal Kaan, Yee Hwee Lim, Andrea Peier, Brad Sherborne, Jerome Hochman, Songnian Lin, Kaustav Biswas, Marika Nestor, Chandra S. Verma, David P. Lane, Tomi K. Sawyer, Robert Garbaccio, Brian Henry, Srinivasaraghavan Kannan, Christopher J. Brown, Charles W. Johannes, Anthony W. Partridge
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Although stapled α-helical peptides can address challenging targets, their advancement is impeded by poor understandings for making them cell permeable while avoiding off-target toxicities. By synthesizing >350 molecules, we present workflo
Externí odkaz:
https://doaj.org/article/244b34e3aef44b508696598d0927724f
Autor:
Nicholas Reed, Rishikesh Srinivasaraghavan Govindarajan, Sheridan Perry, Kayann Coote, Daewon Kim
Publikováno v:
Crystals, Vol 14, Iss 11, p 936 (2024)
Current additive manufacturing (AM) techniques and methods, such as liquid-crystal display (LCD) vat photopolymerization, offer a wide variety of surface-sensing solutions, but customizable internal sensing is both scarce in presence and narrow in sc
Externí odkaz:
https://doaj.org/article/a70df9e8506245379f5dede995a678da
Knowledge Graph (KG) embeddings provide a low-dimensional representation of entities and relations of a Knowledge Graph and are used successfully for various applications such as question answering and search, reasoning, inference, and missing link p
Externí odkaz:
http://arxiv.org/abs/2110.10555
Autor:
Ding, Ke, Levitskaya, Zarina, Sana, Barindra, Pasula, Rupali Reddy, Kannan, Srinivasaraghavan, Adam, Abdurrahman, Sundaravadanam, Vishnu Vadanan, Verma, Chandra, Lim, Sierin, Ghadessy, John F.
Publikováno v:
In Biochemical Engineering Journal September 2024 209
Autor:
Reddy, Ravi Kiran, Shubham, Kumar, Venkatesh, Gopalakrishnan, Gandikota, Sriram, Khoche, Sarthak, Jayagopi, Dinesh Babu, Srinivasaraghavan, Gopalakrishnan
Semantic face editing of real world facial images is an important application of generative models. Recently, multiple works have explored possible techniques to generate such modifications using the latent structure of pre-trained GAN models. Howeve
Externí odkaz:
http://arxiv.org/abs/2108.13876
Fuzzy Cognitive Maps (FCMs) are soft computing technique that follows an approach similar to human reasoning and human decision-making process, making them a valuable modeling and simulation methodology. Medical Decision Systems are complex systems c
Externí odkaz:
http://arxiv.org/abs/2108.03760