Zobrazeno 1 - 10
of 2 645
pro vyhledávání: '"Satish Kumar, P"'
The holy grail of machine learning is to enable Continual Federated Learning (CFL) to enhance the efficiency, privacy, and scalability of AI systems while learning from streaming data. The primary challenge of a CFL system is to overcome global catas
Externí odkaz:
http://arxiv.org/abs/2411.07959
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
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:
Discover Food, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract Sorption isotherms are essential for understanding the moisture sorption behavior of foods, which is critical for optimizing drying processes, predicting shelf life, and designing effective packaging. This study examined the moisture sorptio
Externí odkaz:
https://doaj.org/article/3324682d748142559b2cfb79e22ea344
Publikováno v:
Reproduction and Fertility, Vol 5, Iss 4, Pp 1-8 (2024)
Historically, infertility has been stigmatized in Indian society, primarily due to societal norms that equate marriage with procreation. In the twentieth century, India focused primarily on over-fertility in its family planning programs, with little
Externí odkaz:
https://doaj.org/article/f4b325c070cc4f249d3ba6a8fe133675