Zobrazeno 1 - 10
of 289 683
pro vyhledávání: '"Prakash AS"'
Publikováno v:
Nonprofit Policy Forum, Vol 13, Iss 1, Pp 69-85 (2021)
Externí odkaz:
https://doaj.org/article/28fc5a9b4f98469bba9b7b43e4a1b83a
This study presents an integrated deep learning model for automatic detection and classification of Gastrointestinal bleeding in the frames extracted from Wireless Capsule Endoscopy (WCE) videos. The dataset has been released as part of Auto-WCBleedG
Externí odkaz:
http://arxiv.org/abs/2412.05216
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
This paper presents an experimental framework for implementing Decentralized Autonomous Database Systems (DADBS) using the Rust programming language. As traditional centralized databases face challenges in scalability, security, and autonomy, DADBS e
Externí odkaz:
http://arxiv.org/abs/2412.05078
Autor:
Singh, Divyanshu, Prakash, Shiroman
The Deutsch-Josza algorithm, one of the first and simplest quantum algorithms, is a natural candidate for small fault-tolerance experiments. We show that one can implement the Deutsch-Josza algorithm in a fault-tolerant manner using the smallest quan
Externí odkaz:
http://arxiv.org/abs/2412.04791
Recently, text-to-image generation with diffusion models has made significant advancements in both higher fidelity and generalization capabilities compared to previous baselines. However, generating holistic multi-view consistent images from prompts
Externí odkaz:
http://arxiv.org/abs/2412.03756
Autor:
Prakash, Pritesh, Sam, Ashish Jacob
In deep learning, the loss function plays a crucial role in optimizing the network. Many recent innovations in loss techniques have been made, and various margin-based angular loss functions (metric loss) have been designed particularly for face reco
Externí odkaz:
http://arxiv.org/abs/2412.02198
Autor:
Qin, Yuxiang, Mesinger, Andrei, Prelogović, David, Becker, George, Bischetti, Manuela, Bosman, Sarah E. I., Davies, Frederick B., D'Odorico, Valentina, Gaikwad, Prakash, Haehnelt, Martin G., Keating, Laura, Lai, Samuel, Ryan-Weber, Emma, Satyavolu, Sindhu, Walter, Fabian, Zhu, Yongda
The Lyman alpha (Lya) forest in the spectra of z>5 quasars provides a powerful probe of the late stages of the Epoch of Reionization (EoR). With the recent advent of exquisite datasets such as XQR-30, many models have struggled to reproduce the obser
Externí odkaz:
http://arxiv.org/abs/2412.00799
Autor:
Prakash, Ved, Gopal, Upadhyayula M. M. A. Sai, Das, Sanhita, Ramaswamy, Ananth, Roy, Debasish
Continuum damage mechanics (CDM) is a popular framework for modelling crack propagation in solids. The CDM uses a damage parameter to quantitatively assess what one loosely calls `material degradation'. While this parameter is sometimes given a physi
Externí odkaz:
http://arxiv.org/abs/2412.00791
Autor:
Prakash, Eva, Valanarasu, Jeya Maria Jose, Chen, Zhihong, Reis, Eduardo Pontes, Johnston, Andrew, Pareek, Anuj, Bluethgen, Christian, Gatidis, Sergios, Olsen, Cameron, Chaudhari, Akshay, Ng, Andrew, Langlotz, Curtis
Purpose: To explore best-practice approaches for generating synthetic chest X-ray images and augmenting medical imaging datasets to optimize the performance of deep learning models in downstream tasks like classification and segmentation. Materials a
Externí odkaz:
http://arxiv.org/abs/2411.18602