Analyzing sentiments in elearning: A comparative study of bangla and romanized bangla text using transformers

MA Rahman, M Begum, T Mahmud, MS Hossain… - IEEE …, 2024 - ieeexplore.ieee.org
In the modern world, learning is becoming increasingly critical due to rapid technological
breakthroughs, which highlight the need for continuous skill development in both the …

[HTML][HTML] Exhaustive study into machine learning and deep learning methods for multilingual cyberbullying detection in bangla and chittagonian texts

T Mahmud, M Ptaszynski, F Masui - Electronics, 2024 - mdpi.com
Cyberbullying is a serious problem in online communication. It is important to find effective
ways to detect cyberbullying content to make online environments safer. In this paper, we …

Plant disease detection in precision agriculture: Deep learning approaches

P Dey, T Mahmud, SR Nahar… - … on Intelligent Data …, 2024 - ieeexplore.ieee.org
Plants affect economy, agriculture industry and climate of any country. Therefore it is very
important to take care of plants. Like human being, plants are also infected by various …

Integrating bert embeddings with svm for prostate cancer prediction

AS Khan, FT Khan, T Mahmud, SK Khan… - … and Information & …, 2024 - ieeexplore.ieee.org
Prostate cancer diagnosis is a critical area in oncology where accurate and timely
identification of malignancy is imperative for effective treatment. In this paper, we propose an …

Exploring bert and elmo for bangla spam sms dataset creation and detection

F Khan, R Mustafa, F Tasnim, T Mahmud… - … on Computer and …, 2023 - ieeexplore.ieee.org
The proliferation of digital communication and social media platforms has led to an upsurge
in spam messages across various languages, including Bangla. These intrusive messages …

Explainable ai for tomato leaf disease detection: Insights into model interpretability

T Mahmud, K Barua, A Barua, N Basnin… - … on Computer and …, 2023 - ieeexplore.ieee.org
Plant diseases pose a significant threat to global food security by limiting access to safe and
abundant food sources while impacting agricultural productivity and food safety. To address …

Deep learning hybrid models for multilingual cyberbullying detection: Insights from bangla and chittagonian languages

T Mahmud, M Ptaszynski… - 2023 26th International …, 2023 - ieeexplore.ieee.org
Cyberbullying is a serious problem that affects online communication, and stop** it is
essential to building safer digital spaces. The goal of this study is to address the problem of …

Enhanced fake news detection through the fusion of deep learning and repeat vector representations

T Mahmud, I Hasan, MT Aziz, T Rahman… - … on Intelligent Data …, 2024 - ieeexplore.ieee.org
The rapid dissemination of information across social networks, online news portals, and
digital platforms has given rise to a pervasive issue—fake news. This misinformation …

Explainable ai-based humerus fracture detection and classification from x-ray images

K Barua, T Mahmud, A Barua… - … on Computer and …, 2023 - ieeexplore.ieee.org
The human skeletal framework relies heavily on bones, and one such crucial component is
the “Humerus.” Positioned in the upper arm, extending from the shoulder to the elbow …

An approach of analyzing classroom student engagement in multimodal environment by using deep learning

NS Nuha, T Mahmud, N Rezaoana… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
Student engagement refers to the level of involve-ment, interest, attention, and active
participation that students demonstrate during their learning experiences. As the engage …