Zobrazeno 1 - 10
of 41 837
pro vyhledávání: '"P. Kiran"'
Autor:
P. Suman Prakash, P. Kiran Rao, E. Suresh Babu, Surbhi Bhatia Khan, Ahlam Almusharraf, Mohammad Tabrez Quasim
Publikováno v:
IEEE Access, Vol 12, Pp 62189-62198 (2024)
Our proposed work, SculptorGAN, represents a novel advancement in the domain of medical imaging, for the accurate and automatic diagnosis of renal tumors, using the techniques and principles of Generative Adversarial Network (GAN). This dichotomous f
Externí odkaz:
https://doaj.org/article/d1713a56152444bfbd575c30ba120f37
Autor:
Rama Rao Malla, P. Kiran
Publikováno v:
Genes and Diseases, Vol 9, Iss 2, Pp 310-324 (2022)
The tumor microenvironment (TME) is heterogeneous and contains a multiple cell population with surrounded immune cells, which plays a major role in regulating metastasis. The multifunctional pathways, Hedgehog (Hh), Wnt, Notch, and NF-kB, cross-regul
Externí odkaz:
https://doaj.org/article/e659ca2fff1742fe973661d88acc4317
Autor:
P. Kiran Rao, Subarna Chatterjee, M. Janardhan, K. Nagaraju, Surbhi Bhatia Khan, Ahlam Almusharraf, Abdullah I. Alharbe
Publikováno v:
Diagnostics, Vol 13, Iss 20, p 3244 (2023)
Kidney tumors represent a significant medical challenge, characterized by their often-asymptomatic nature and the need for early detection to facilitate timely and effective intervention. Although neural networks have shown great promise in disease p
Externí odkaz:
https://doaj.org/article/85d86adf42df4e36b0ddb2acadc42d6c
Quantum networking continues to encode information in polarization states due to ease and precision. The variable environmental polarization transformations induced by deployed fiber need correction for deployed quantum networking. Here we present a
Externí odkaz:
http://arxiv.org/abs/2411.15135
Optical flow estimation is a critical task for tiny mobile robotics to enable safe and accurate navigation, obstacle avoidance, and other functionalities. However, optical flow estimation on tiny robots is challenging due to limited onboard sensing a
Externí odkaz:
http://arxiv.org/abs/2411.14576
Routing and Spectrum Assignment (RSA) represents a significant challenge within Elastic Optical Networks (EONs), particularly in dynamic traffic scenarios where the network undergoes continuous changes. Integrating multiple modulation formats transfo
Externí odkaz:
http://arxiv.org/abs/2411.12442
The combination of behavioural cloning and neural networks has driven significant progress in robotic manipulation. As these algorithms may require a large number of demonstrations for each task of interest, they remain fundamentally inefficient in c
Externí odkaz:
http://arxiv.org/abs/2411.04056
We explore the consequences of varying the pump beam waist that illuminates a nonlinear crystal, realizing spontaneous parametric down-conversion (SPDC). The coherence is transferred from the marginal one-photon wavefunction to the two-photon wavefun
Externí odkaz:
http://arxiv.org/abs/2411.03904
Autor:
Purohit, Kiran, V, Venktesh, Devalla, Raghuram, Yerragorla, Krishna Mohan, Bhattacharya, Sourangshu, Anand, Avishek
Answering reasoning-based complex questions over text and hybrid sources, including tables, is a challenging task. Recent advances in large language models (LLMs) have enabled in-context learning (ICL), allowing LLMs to acquire proficiency in a speci
Externí odkaz:
http://arxiv.org/abs/2411.03877
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks
We propose a general framework for deriving generalization bounds for parallel positively homogeneous neural networks--a class of neural networks whose input-output map decomposes as the sum of positively homogeneous maps. Examples of such networks i
Externí odkaz:
http://arxiv.org/abs/2411.02767