Browsing Research Articles by Author "Alam, Md Zahangir"
Now showing items 1-6 of 6
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A Federated Learning Approach for Type-2 Diabetes Detection Using a Naive Bayes Classifier
Rahman, M. M.; Islam, Ashraful; Pasha, Syed Tangim; Islam, M. Usama; Alam, Md Zahangir (, The International Diabetes Federation (IDF), 2023, 2023-10)Federated learning (FL) is a new way of training machine learning models across decentralized devices without exchanging the raw data. This approach preserves privacy and promotes the development of more personalized models ... -
Genre Classification of Bangla Poem Using Machine Learning and Deep Learning Techniques
Pasha, Syed Tangim; Islam, Ashraful; Rahman, Mohammed Masudur; Ahmed, Eshtiak; Foysal, Md. Ferdouse Ahmed; Alam, Md Zahangir (Independent University, Bangladesh, 2023-05)The computational analysis of the Bangla poems is a challenging task due to the diverse linguistic, stylistic, and semantic features of the Bangla language. In this work, we prepared a dataset of 1311 Bangla poems of two ... -
Low-cost relay selection in multihop cooperative networks
Rahman, Suryaia; Alam, Md Zahangir; Islam, Ashraful; Habib, Md. Tarek; AHMED, ESHTIAK; Hasan, Mahady; Ahmed, Tarem (Journal of King Saud University - Computer and Information Sciences, Q1, 2023-09)A best relay selection algorithm for a cooperative multi-hop cross-layer single-input single-output (SISO) amplify-and-forward (AF) wireless relay network is analyzed in this work, with the application where exact channel ... -
Multi-agent best routing in high mobility digital-twin-driven internet of vehicles
Alam, Md Zahangir; S. Khan, Komal; Jamalipour, Abbas (IEEE IoT Journal, Rank Q1, 2023-10)Low-delay high-gain optimal multi-hop routing path is crucial to guarantee both the latency and reliability require- ments for infotainment services in the high mobility internet of vehicles (IoVs) subject to queue stability. ... -
SMOTE Oversampling and Near Miss Undersampling Based Diabetes Diagnosis from Imbalanced Dataset with XAI Visualization
Nayan, Nasim Mahmud; Islam, Ashraful; Islam, Muhammad Usama; Ahmed, Eshtiak; Hossain, Mohammad Mobarak; Alam, Md Zahangir (Independent University, Bangladesh, 2023-05)This study investigated the predictive ability of ten different machine learning (ML) models for diabetes using a dataset that was not evenly distributed. Additionally, the study evaluated the effectiveness of two oversampling ... -
Using an Ensemble Machine Learning Model with Explainable AI (XAI) to Diagnose Gestational Diabetes Mellitus
Pasha, Syed Tangim; Islam, Ashraful; Sikder, Sanker; Habib, Md Tarek; Alam, Md Zahangir; Amin, M Ashraful (The International Diabetes Federation (IDF), 2023, 2023-10)The emergence of gestational diabetes mellitus (GDM) in pregnant women is a serious health concern and an alarming issue. According to the most recent data from the International Diabetes Federation (IDF), in 2021, 16.7 ...