Zobrazeno 1 - 10
of 12 302
pro vyhledávání: '"A. Satish Kumar"'
Convolutional Neural Networks (CNNs) have made remarkable strides; however, they remain susceptible to vulnerabilities, particularly in the face of minor image perturbations that humans can easily recognize. This weakness, often termed as 'attacks',
Externí odkaz:
http://arxiv.org/abs/2409.03458
In protein secondary structure prediction, each amino acid in sequence is typically treated as a distinct category and represented by a one-hot vector. In this study, we developed two novel chemical representations for amino acids utilizing molecular
Externí odkaz:
http://arxiv.org/abs/2407.05173
In recent years, Vision Transformers (ViTs) have shown promising classification performance over Convolutional Neural Networks (CNNs) due to their self-attention mechanism. Many researchers have incorporated ViTs for Hyperspectral Image (HSI) classif
Externí odkaz:
http://arxiv.org/abs/2404.13252
Facial super-resolution/hallucination is an important area of research that seeks to enhance low-resolution facial images for a variety of applications. While Generative Adversarial Networks (GANs) have shown promise in this area, their ability to ad
Externí odkaz:
http://arxiv.org/abs/2401.15366
Unsupervised image retrieval aims to learn the important visual characteristics without any given level to retrieve the similar images for a given query image. The Convolutional Neural Network (CNN)-based approaches have been extensively exploited wi
Externí odkaz:
http://arxiv.org/abs/2401.15362
Image super-resolution aims to synthesize high-resolution image from a low-resolution image. It is an active area to overcome the resolution limitations in several applications like low-resolution object-recognition, medical image enhancement, etc. T
Externí odkaz:
http://arxiv.org/abs/2312.01999
Autor:
Dubey, Sameer, Vishwakarma, Pradeep, Ramarao, TVS, Dubey, Satish Kumar, Goel, Sanket, Javed, Arshad
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow, 2024, Vol. 34, Issue 8, pp. 3045-3078.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/HFF-07-2023-0361
Image super-resolution generation aims to generate a high-resolution image from its low-resolution image. However, more complex neural networks bring high computational costs and memory storage. It is still an active area for offering the promise of
Externí odkaz:
http://arxiv.org/abs/2310.13216
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract In this study, the effect of ultrasonic vibration during Friction Stir Vibration Processing (FSVP) on the microstructure and mechanical behaviour of AZ31/TiC surface composites was investigated. Specifically, Titanium Carbide (TiC) particles
Externí odkaz:
https://doaj.org/article/4a146bbb55c24450996f2a1976cb161f
Autor:
Dhakshanya Predheepan, Sujith Raj Salian, Shubhashree Uppangala, Guruprasad Kalthur, Borut Kovačič, Satish Kumar Adiga
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Preimplantation embryos can experience stress from laboratory interventions and a sub-optimal culture environment. Though research has demonstrated advanced maternal age impairs oocyte quality, the response of embryos derived from such oocyt
Externí odkaz:
https://doaj.org/article/400f85a504db4f0fb3bfb15799905efc