Zobrazeno 1 - 10
of 22 859
pro vyhledávání: '"A, Jahangir"'
Autor:
Jahangir, Md. Zihad Bin, Akter, Sumaiya, Nasim, MD Abdullah Al, Gupta, Kishor Datta, George, Roy
Wounds, such as foot ulcers, pressure ulcers, leg ulcers, and infected wounds, come up with substantial problems for healthcare professionals. Prompt and accurate segmentation is crucial for effective treatment. However, contemporary methods need an
Externí odkaz:
http://arxiv.org/abs/2408.11064
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
The photovoltaics (PV) technology landscape is evolving rapidly. To predict the potential and scalability of emerging PV technologies, a global understanding of these systems' performance is essential. Traditionally, experimental and computational st
Externí odkaz:
http://arxiv.org/abs/2407.18284
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:
Rajasekhar, G, Alam, Jahangir
Leveraging complementary relationships across modalities has recently drawn a lot of attention in multimodal emotion recognition. Most of the existing approaches explored cross-attention to capture the complementary relationships across the modalitie
Externí odkaz:
http://arxiv.org/abs/2405.12853
Autor:
Salih, Amar K., Khan, Abdul Zeeshan, Drmosh, Qasem A., Kandiel, Tarek A., Qamar, Mohammad, Jahangir, Tahir Naveed, Ton-That, Cuong, Yamani, Zain H.
Bismuth vanadate (BiVO4) has emerged as a highly prospective material for photoanodes in photoelectrochemical (PEC) water oxidation. However, current limitations with this material lie in the difficulties in producing stable and continuous BiVO4 laye
Externí odkaz:
http://arxiv.org/abs/2405.02907