Zobrazeno 1 - 10
of 25 033
pro vyhledávání: '"Shamsul A"'
Publikováno v:
Nordic Machine Intelligence, Volume 3, Pages 27-47, Year 2023
The interpretability of deep neural networks has become a subject of great interest within the medical and healthcare domain. This attention stems from concerns regarding transparency, legal and ethical considerations, and the medical significance of
Externí odkaz:
http://arxiv.org/abs/2307.08003
Autor:
Sankar, Shrivatch, Murkute, Punam, Meleski, Micah, Gajowski, Nathan, Nooman, Neha, Sumon, Md. Saiful Islam, Arafin, Shamsul, Reano, Ronald M., Krishna, Sanjay
III V semiconductor nanowire based photodetectors have significant potential for remote sensing and LiDAR applications, particularly due to their ability to operate at 1.55 {\mu}m. Achieving room temperature operation and near unity absorption using
Externí odkaz:
http://arxiv.org/abs/2411.09795
Autor:
Shi, Xiangyu, Ding, Hongcheng, Faroog, Salaar, Dewi, Deshinta Arrova, Abdullah, Shamsul Nahar, Malek, Bahiah A
This study introduces a novel approach for EUR/USD exchange rate forecasting that integrates deep learning, textual analysis, and particle swarm optimization (PSO). By incorporating online news and analysis texts as qualitative data, the proposed PSO
Externí odkaz:
http://arxiv.org/abs/2411.07560
Autor:
Ding, Hongcheng, Hu, Fuzhen, Zhao, Xuanze, Jiang, Zixiao, Abdullah, Shamsul Nahar, Dewi, Deshinta Arrova
Sentiment analysis has become increasingly important for assessing public opinion and informing decision-making. Large language models (LLMs) have revolutionized this field by capturing nuanced language patterns. However, adapting LLMs to domain-spec
Externí odkaz:
http://arxiv.org/abs/2410.16589
Autor:
Hossain, Elias, Nuzhat, Tasfia, Masum, Shamsul, Rahimi, Shahram, Mittal, Sudip, Golilarz, Noorbakhsh Amiri
Accurate classification of cancer-related medical abstracts is crucial for healthcare management and research. However, obtaining large, labeled datasets in the medical domain is challenging due to privacy concerns and the complexity of clinical data
Externí odkaz:
http://arxiv.org/abs/2410.15198
Accurate forecasting of the EUR/USD exchange rate is crucial for investors, businesses, and policymakers. This paper proposes a novel framework, IUS, that integrates unstructured textual data from news and analysis with structured data on exchange ra
Externí odkaz:
http://arxiv.org/abs/2408.13214
Autor:
Ding, Hongcheng, Zhao, Xuanze, Abdullah, Shamsul Nahar, Dewi, Deshinta Arrova, Jiang, Zixiao, Shi, Xiangyu
Sentiment analysis plays a crucial role in various domains, such as business intelligence and financial forecasting. Large language models (LLMs) have become a popular paradigm for sentiment analysis, leveraging multi-task learning to address specifi
Externí odkaz:
http://arxiv.org/abs/2408.11856
Autor:
Muduli, Manisha, Xia, Yongkang, Lee, Seunghyun, Gajowski, Nathan, Chae, Chris, Rajan, Siddharth, Hwang, Jinwoo, Arafin, Shamsul, Krishna, Sanjay
There is increased interest in the heterogeneous integration of various compound semiconductors with Si for a variety of electronic and photonic applications. This paper focuses on integrating GaAsSb (with absorption in the C-band at 1550nm) with sil
Externí odkaz:
http://arxiv.org/abs/2407.17607
Due to its widespread applications, human action recognition is one of the most widely studied research problems in Computer Vision. Recent studies have shown that addressing it using multimodal data leads to superior performance as compared to relyi
Externí odkaz:
http://arxiv.org/abs/2405.15813
Autor:
Kowsher, Md., Panditi, Ritesh, Prottasha, Nusrat Jahan, Bhat, Prakash, Bairagi, Anupam Kumar, Arefin, Mohammad Shamsul
Conversational modeling using Large Language Models (LLMs) requires a nuanced understanding of context to generate coherent and contextually relevant responses. In this paper, we present Token Trails, a novel approach that leverages token-type embedd
Externí odkaz:
http://arxiv.org/abs/2404.02402