Hybrid deep transfer learning framework for humerus fracture detection and classification from x-ray images

P Dey, T Mahmud, KM Foysol… - 2023 4th …, 2024 - ieeexplore.ieee.org
The detection and classification of humerus fractures from X-ray images are crucial for
effective medical diagnosis and treatment planning. Manual assessment of such fractures is …

Emerging trends and challenges in cybersecurity data science: A state-of-the-art review

N Datta, T Mahmud, MT Aziz, RK Das… - … on Engineering and …, 2024 - ieeexplore.ieee.org
Cybersecurity is the process of defending computer networks, systems, and digital data from
intrusions, hacks, dam-age, and other cyber threats. It also prevents illegal access, and …

Exploring deep learning for chittagonian slang detection in social media texts

SR Naher, S Sultana, T Mahmud… - 2024 International …, 2024 - ieeexplore.ieee.org
Detecting and understanding the meaning of sentences has emerged as a crucial area of
research in natural language processing, driven by the prevalence of social media platforms …

Integration of nlp and deep learning for automated fake news detection

T Mahmud, T Akter, MT Aziz, MK Uddin… - 2024 Second …, 2024 - ieeexplore.ieee.org
In today's digital era, the widespread issue of fake news significantly undermines the
credibility of information, highlighting the need for sophisticated detection methods. This …

Investigating the effectiveness of deep learning and machine learning for bangla poems genre classification

T Mahmud, UK Das, SR Naher… - 2023 4th …, 2024 - ieeexplore.ieee.org
Bangla Poems Genre Classification is crucial for understanding and preserving cultural
heritage. In this paper, we employ both machine learning and deep learning approaches to …

Enhancing road safety: A deep learning approach to automated crack detection

T Rahman, T Mahmud, S Roy… - 2024 Second …, 2024 - ieeexplore.ieee.org
Recently, the concept of transfer learning has been extensively utilized, demonstrating its
efficacy across various tasks. Motivated by its success in image classification, this research …

Predictive modeling in forex trading: A time series analysis approach

T Mahmud, T Akter, S Anwar, MT Aziz… - 2024 Second …, 2024 - ieeexplore.ieee.org
This research explores the application of predictive modeling for time series analysis in the
context of Foreign Exchange (FOREX) trading, focusing specifically on the USD, EUR, and …

Evaluating machine learning methods for bangla text emotion analysis

T Akter, MS Akter, T Mahmud, D Islam… - 2024 Asia Pacific …, 2024 - ieeexplore.ieee.org
Text-based emotion identification goes beyond simple sentiment analysis by capturing
emotions in a more nuanced way, akin to shades of gray rather than just positive or negative …

A hybrid supervised-unsupervised learning framework for biomedical data analysis and gene signature identification

IB Habib, T Mahmud, A Tamishra… - 2024 International …, 2024 - ieeexplore.ieee.org
This paper presents a Hybrid Supervised-Unsupervised Learning Framework tailored for
Biomedical Data Analysis and Gene Signature Identification. The study meticulously …

Heartbeat sound analysis: Integrating deep learning models for classification

T Akter, T Mahmud, UK Das… - 2024 International …, 2024 - ieeexplore.ieee.org
Heartbeat sound signal classification has been extensively researched in the field of
medical signal processing, with various approaches proposed to address the challenges …