Zobrazeno 1 - 10
of 17 430
pro vyhledávání: '"Nusrat, A"'
Artificial intelligence (AI) has emerged as a promising tool for predicting COVID-19 from medical images. In this paper, we propose a novel continual learning-based approach and present the design and implementation of a mobile application for screen
Externí odkaz:
http://arxiv.org/abs/2410.12589
Autor:
Kowsher, Md, Sobuj, Md. Shohanur Islam, Prottasha, Nusrat Jahan, Alanis, E. Alejandro, Garibay, Ozlem Ozmen, Yousefi, Niloofar
Time series forecasting remains a challenging task, particularly in the context of complex multiscale temporal patterns. This study presents LLM-Mixer, a framework that improves forecasting accuracy through the combination of multiscale time-series d
Externí odkaz:
http://arxiv.org/abs/2410.11674
External debt has been identified as the most liable to cause financial crises in developing countries in Asia and Latin America. One recent example of near bankruptcy in Sri Lanka has raised serious concerns among economists about how to anticipate
Externí odkaz:
http://arxiv.org/abs/2410.09594
Autor:
Prottasha, Nusrat Jahan, Mahmud, Asif, Sobuj, Md. Shohanur Islam, Bhat, Prakash, Kowsher, Md, Yousefi, Niloofar, Garibay, Ozlem Ozmen
Large Language Models (LLMs) are gaining significant popularity in recent years for specialized tasks using prompts due to their low computational cost. Standard methods like prefix tuning utilize special, modifiable tokens that lack semantic meaning
Externí odkaz:
http://arxiv.org/abs/2410.08598
This article examines the cosmic evolution in the framework of symmetric teleparallel theory, characterized by the function of non-metricity scalar $(\mathcal{Q})$. We use the e-folding number and reconstruction method with a suitable parametrization
Externí odkaz:
http://arxiv.org/abs/2410.08516
We developed a Python based framework for astronomical image processing and analysis. Astronomical image loading, normalizing, stacking, and filtering processes represent visible range images from grayscale. Besides, the blending process helps to ana
Externí odkaz:
http://arxiv.org/abs/2410.06573
The rapid advancements in Large Language Models (LLMs) have revolutionized natural language processing (NLP) and related fields. However, fine-tuning these models for specific tasks remains computationally expensive and risks degrading pre-learned fe
Externí odkaz:
http://arxiv.org/abs/2409.10927
Autor:
Ali, Shams Nafisa, Zahin, Afia, Shuvo, Samiul Based, Nizam, Nusrat Binta, Nuhash, Shoyad Ibn Sabur Khan, Razin, Sayeed Sajjad, Sani, S. M. Sakeef, Rahman, Farihin, Nizam, Nawshad Binta, Azam, Farhat Binte, Hossen, Rakib, Ohab, Sumaiya, Noor, Nawsabah, Hasan, Taufiq
Cardiac auscultation, an integral tool in diagnosing cardiovascular diseases (CVDs), often relies on the subjective interpretation of clinicians, presenting a limitation in consistency and accuracy. Addressing this, we introduce the BUET Multi-diseas
Externí odkaz:
http://arxiv.org/abs/2409.00724
Autor:
Zahan, Nusrat, Acar, Yasemin, Cukier, Michel, Enck, William, Kästner, Christian, Kapravelos, Alexandros, Wermke, Dominik, Williams, Laurie
Cyber attacks leveraging or targeting the software supply chain, such as the SolarWinds and the Log4j incidents, affected thousands of businesses and their customers, drawing attention from both industry and government stakeholders. To foster open di
Externí odkaz:
http://arxiv.org/abs/2408.16529
Autor:
Rohanian, Omid, Nouriborji, Mohammadmahdi, Seminog, Olena, Furst, Rodrigo, Mendy, Thomas, Levanita, Shanthi, Kadri-Alabi, Zaharat, Jabin, Nusrat, Toale, Daniela, Humphreys, Georgina, Antonio, Emilia, Bucher, Adrian, Norton, Alice, Clifton, David A.
This paper introduces the Pandemic PACT Advanced Categorisation Engine (PPACE) along with its associated dataset. PPACE is a fine-tuned model developed to automatically classify research abstracts from funded biomedical projects according to WHO-alig
Externí odkaz:
http://arxiv.org/abs/2407.10086