Zobrazeno 1 - 10
of 231 602
pro vyhledávání: '"Deepak."'
Autor:
Boya, Sumanth Kumar, Subramani, Deepak
Initial boundary value problems arise commonly in applications with engineering and natural systems governed by nonlinear partial differential equations (PDEs). Operator learning is an emerging field for solving these equations by using a neural netw
Externí odkaz:
http://arxiv.org/abs/2412.09009
Polyp segmentation in colonoscopy is crucial for detecting colorectal cancer. However, it is challenging due to variations in the structure, color, and size of polyps, as well as the lack of clear boundaries with surrounding tissues. Traditional segm
Externí odkaz:
http://arxiv.org/abs/2412.08482
Autor:
Nigam, Shubham Kumar, Patnaik, Balaramamahanthi Deepak, Mishra, Shivam, Shallum, Noel, Ghosh, Kripabandhu, Bhattacharya, Arnab
The integration of artificial intelligence (AI) in legal judgment prediction (LJP) has the potential to transform the legal landscape, particularly in jurisdictions like India, where a significant backlog of cases burdens the legal system. This paper
Externí odkaz:
http://arxiv.org/abs/2412.08385
Autor:
Patel, Deepak, Srivastava, Praveen C.
Publikováno v:
Physica Scripta 100, 015303 (2025)
In this work, we present the systematic study of $2\nu$ECEC process in the $^{78}$Kr using large-scale shell-model calculations with the GWBXG effective interaction. We first validate the efficiency of the utilized interaction by comparing the theore
Externí odkaz:
http://arxiv.org/abs/2412.05844
Generative Adversarial Networks (GANs) have proven to be a powerful tool in generating artistic images, capable of mimicking the styles of renowned painters, such as Claude Monet. This paper introduces a tiered GAN model to progressively refine image
Externí odkaz:
http://arxiv.org/abs/2412.05724
Autor:
Bhati, Deepshikha, Neha, Fnu, Amiruzzaman, Md, Guercio, Angela, Shukla, Deepak Kumar, Ward, Ben
Interpreting complex neural networks is crucial for understanding their decision-making processes, particularly in applications where transparency and accountability are essential. This proposed method addresses this need by focusing on layer-wise Re
Externí odkaz:
http://arxiv.org/abs/2412.05686
Autor:
Kumar, Deepak
Neural networks are a group of neurons stacked together in multiple layers to mimic the biological neurons in a human brain. Neural networks have been trained using the backpropagation algorithm based on gradient descent strategy for several decades.
Externí odkaz:
http://arxiv.org/abs/2412.05667
Object detection is a fundamental task in computer vision and image understanding, with the goal of identifying and localizing objects of interest within an image while assigning them corresponding class labels. Traditional methods, which relied on h
Externí odkaz:
http://arxiv.org/abs/2412.05252
Autor:
Aryan, Prakash, Shetty, Sujala Deepak
This paper presents a novel approach to cloud storage challenges by integrating NextCloud, TrueNAS, and QEMU/KVM. Our research demonstrates how this combination creates a robust, flexible, and economical cloud storage system suitable for various appl
Externí odkaz:
http://arxiv.org/abs/2412.05091