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Browsing Articles by Author "Hasan, Md. Arid"

Browsing Articles by Author "Hasan, Md. Arid"

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  • BlackOps at CheckThat! 2021 
    Sohan, S.M.; Khushbu, Shrun Akter; Islam, Md. Sanzidul; Hasan, Md. Arid (Scopus, 2021)
    An expensive task is fake news detection for recent trends among the concept of misinformation or rumors. In everywhere most of the times information lead or play emergent preface but forthwith misinformation also in ...
  • Brain Tumor Analysis Using Deep Neural Network 
    Khan, Iftekhar; Ahsan, Kuheli; Hasan, Md. Arid; Sattar, Abdus (Proceedings - 5th International Conference on Intelligent Computing and Control Systems, IEEE, 2021-05-26)
    The identification of tumors is one of the most tenacious and emerging fields in medical image processing. A tumor means the unrestricted existence of a bunch of cells in a precise area of the human body which destroys the ...
  • FakeDTML at CheckThat! 2023: Identifying Check-Worthiness of Tweets and Debate Snippets 
    Sardar, Abdullah Al Mamun; Karim, Md. Ziaul; Dey, Krishno; Hasan, Md. Arid (Conference and Labs of the Evaluation Forum, 2023-09-18)
    "There is a wealth of knowledge available online. Some are trustworthy, while others are deceptive and phony. The need to identify such false information arises from the danger it poses to society at a mass. Nowadays, ...
  • MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification 
    Alam, Firoj; Alam, Tanvirul; Hasan, Md. Arid; Hasnat, Abul; Imran, Muhammad; Ofli, Ferda (Springer Nature, 2022-09-03)
    Recent research in disaster informatics demonstrates a practical and important use case of artificial intelligence to save human lives and suffering during natural disasters based on social media contents (text and images). ...
  • NN at CheckThat! 2023: Subjectivity in News Articles Classification with Transformer Based Models 
    Dey, Krishno; Tarannum, Prerona; Hasan, Md. Arid; Noori, Sheak Rashed Haider (CEUR Workshop Proceedings, 2023-08-31)
    The CheckThat! Lab is a challenging lab designed to address the issue of disinformation. We participated in CheckThat! Lab Task 2, which is focused on classification of subjectivity in news articles. This shared task ...
  • Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19 
    Lucky, Effat Ara Easmin; Sany, Md. Mahadi Hasan; Keya, Mumenunnesa; Rahaman, Md. Moshiur; Happy, Umme Habiba; Khushbu, Sharun Akter; Hasan, Md. Arid (Daffodil International University, 2022-04-20)
    By trade we usually mean the exchange of goods between states and countries. International trade acts as a barometer of the economic prosperity index and every country is overly dependent on resources, so international ...
  • Text Extraction through Video Lip Reading Using Deep Learning 
    Chowdhury, S.M. Mazharul Hoque; Rahman, Mushfiqur; Oyshi, Marzan Tasnim; Hasan, Md. Arid (Scopus, 2020)
    Automated text extraction from video data through lip reading can overcome the language barrier and open the door of opportunities in terms of security, connectivity and physical challenges. The conversion is possible by ...
  • Z-Index at CheckThat! 2023: 
    Tarannum, Prerona; Hasan, Md. Arid; Alam, Firoj; Noori, Sheak Rashed Haider (Daffodil International University, 2023-08)
    "In this study, we report our participation in CheckThat! lab’s Task 1. The aim is to determine whether a claim made in either unimodal or multimodal content is worth fact-checking. We implemented standard preprocessing ...
  • Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis 
    Hasan, Md. Arid; Das, Shudipta; Anjum, Afiyat; Alam, Firoj; Anjum, Anika; Sarker, Avijit; Sheak Rashed Haider; Noori, Sheak Rashed Haider (Elsevier, 2024-05-25)
    The rapid expansion of the digital world has propelled sentiment analysis into a critical tool across diverse sectors such as marketing, politics, customer service, and healthcare. While there have been significant ...

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