Nahian Ahmed

Artificial Neural Network and Machine Learning Based Methods for Population Estimation of Rohingya Refugees: Comparing Data-Driven and Satellite Image-Driven Approaches

Rashedur M. Rahman, Nazmul Alam Diptu, Nahian Ahmed, 2019, Vietnam. J. Comput. Sci..

Forecasting river sediment deposition through satellite image driven unsupervised machine learning techniques

Silvia Ahmed, Nahian Ahmed, Safin Mahmud, 2019, Remote Sensing Applications: Society and Environment.

Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping

Rashedur M. Rahman, Bayes Ahmed, Nahian Ahmed, 2020, Remote. Sens..

Solving visual pollution with deep learning: A new nexus in environmental management.

Nahian Ahmed, Mohammad Sujauddin, Ahmad Saraf Tuba, 2019, Journal of environmental management.

Learning to extract buildings from ultra-high-resolution drone images and noisy labels

Rashedur M. Rahman, Nahian Ahmed, Riasad Bin Mahbub, 2020 .

Machine learning for predicting landslide risk of Rohingya refugee camp infrastructure

Adnan Firoze, Nahian Ahmed, Rashedur M. Rahman, 2020, J. Inf. Telecommun..

Dense prediction of label noise for learning building extraction from aerial drone imagery

Rashedur M. Rahman, Bayes Ahmed, Nahian Ahmed, 2021, International Journal of Remote Sensing.

Effects of Label Noise on Performance of Remote Sensing and Deep Learning-Based Water Body Segmentation Models

Rashedur M. Rahman, Nahian Ahmed, Mustafizur Rahaman, 2021, Cybernetics and systems.

Classification of Deep-SAT Images under Label Noise

Rashedur M. Rahman, Masud Rana, Nahian Ahmed, 2021, Appl. Artif. Intell..