Zobrazeno 1 - 10
of 3 828
pro vyhledávání: '"Puppala A"'
Publikováno v:
E3S Web of Conferences, Vol 569, p 02002 (2024)
This research provides a comprehensive evaluation of the effects of a wicking geotextile capable of multiple functions, including separation and reinforcement and gravity and capillary suction-induced drainage for subsurface layers in flexible paveme
Externí odkaz:
https://doaj.org/article/a780311a47034546b005c47373d6974c
Publikováno v:
E3S Web of Conferences, Vol 544, p 11014 (2024)
The performance of a flexible pavement depends on the resilient modulus (MR) of subgrade soil. Thus, MR is a key design parameter for mechanistic-empirical pavement design of flexible pavements. Generally, the resilient modulus is determined by condu
Externí odkaz:
https://doaj.org/article/a823f9d2869b42469579f38c21c6fab2
Our study presents a multifaceted approach to enhancing user interaction and content relevance in social media platforms through a federated learning framework. We introduce personalized GPT and Context-based Social Media LLM models, utilizing federa
Externí odkaz:
http://arxiv.org/abs/2408.05243
Our paper introduces a novel approach to social network information retrieval and user engagement through a personalized chatbot system empowered by Federated Learning GPT. The system is designed to seamlessly aggregate and curate diverse social medi
Externí odkaz:
http://arxiv.org/abs/2408.05242
Autor:
Puppala, Sai, Hossain, Ismail, Alam, Md Jahangir, Talukder, Sajedul, Talukder, Zahidur, Bahauddin, Syed
Federated Learning (FL) has emerged as a transformative approach for enabling distributed machine learning while preserving user privacy, yet it faces challenges like communication inefficiencies and reliance on centralized infrastructures, leading t
Externí odkaz:
http://arxiv.org/abs/2407.18387
Autor:
Puppala, Sai, Hossain, Ismail, Alam, Md Jahangir, Talukder, Sajedul, Ferdaus, Jannatul, Hasan, Mahedi, Pisupati, Sameera, Mathukumilli, Shanmukh
Federated learning has become a significant approach for training machine learning models using decentralized data without necessitating the sharing of this data. Recently, the incorporation of generative artificial intelligence (AI) methods has prov
Externí odkaz:
http://arxiv.org/abs/2407.18358
User activities can influence their subsequent interactions with a post, generating interest in the user. Typically, users interact with posts from friends by commenting and using reaction emojis, reflecting their level of interest on social media su
Externí odkaz:
http://arxiv.org/abs/2407.09747
Social media platforms are extensively used for sharing personal emotions, daily activities, and various life events, keeping people updated with the latest happenings. From the moment a user creates an account, they continually expand their network
Externí odkaz:
http://arxiv.org/abs/2407.09691
Autor:
Morvan Mathilde, Patil Ujwalkumar D., Hoyos Laureano R., Congress Surya S. C., Puppala Anand J.
Publikováno v:
E3S Web of Conferences, Vol 195, p 03029 (2020)
Most of the previous research has been focused on developing and validating constitutive models to predict response of unsaturated soils in low-medium suction range. However, there is a scarcity of efforts in developing soil models to simulate its me
Externí odkaz:
https://doaj.org/article/abdbfa3becd843ea940d7dcefa841d1e
Autor:
García-García Marcos, Patil Ujwalkumar D., Manzanal Diego, Hoyos Laureano R., Puppala Anand J., Pastor Manuel
Publikováno v:
E3S Web of Conferences, Vol 195, p 02020 (2020)
The stress-strain response of compacted silty sand with over-consolidated stress history often exhibit distinct peak stress before reaching the critical stress type of response when subjected to suction-controlled triaxial shearing. Such heavily cons
Externí odkaz:
https://doaj.org/article/e59c34a5af3f4156b8a18f7be15d3d7a