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Maher Ibrahim Sameen
Maher Ibrahim Sameen
Ph.D., Remote Sensing
Verified email at uts.edu.au
Title
Cited by
Cited by
Year
Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment
MI Sameen, B Pradhan, S Lee
Catena 186, 104249, 2020
2352020
Severity prediction of traffic accidents with recurrent neural networks
MI Sameen, B Pradhan
Applied Sciences 7 (6), 476, 2017
1902017
Landslide detection using residual networks and the fusion of spectral and topographic information
MI Sameen, B Pradhan
Ieee Access 7, 114363-114373, 2019
1222019
Modeling landslide susceptibility in data-scarce environments using optimized data mining and statistical methods
JH Lee, MI Sameen, B Pradhan, HJ Park
Geomorphology 303, 284-298, 2018
1062018
Self-learning random forests model for mapping groundwater yield in data-scarce areas
MI Sameen, B Pradhan, S Lee
Natural Resources Research 28, 757-775, 2019
972019
Optimized neural architecture for automatic landslide detection from high-resolution airborne laser scanning data
MR Mezaal, B Pradhan, MI Sameen, HZ Mohd Shafri, ZM Yusoff
Applied Sciences 7 (7), 730, 2017
842017
Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis
B Kalantar, SB Mansor, MI Sameen, B Pradhan, HZM Shafri
International journal of remote sensing 38 (8-10), 2535-2556, 2017
762017
Deep learning approach for building detection using lidar–orthophoto fusion
FH Nahhas, HZM Shafri, MI Sameen, B Pradhan, S Mansor
Journal of sensors 2018, 2018
752018
Classification of very high resolution aerial photos using spectral-spatial convolutional neural networks
MI Sameen, B Pradhan, OS Aziz
Journal of Sensors 2018, 2018
742018
Improving the accuracy of landslide susceptibility model using a novel region-partitioning approach
H Hong, B Pradhan, MI Sameen, B Kalantar, A Zhu, W Chen
Landslides 15, 753-772, 2018
682018
Unseen land cover classification from high-resolution orthophotos using integration of zero-shot learning and convolutional neural networks
B Pradhan, HAH Al-Najjar, MI Sameen, I Tsang, AM Alamri
Remote Sensing 12 (10), 1676, 2020
562020
Spatial prediction of rotational landslide using geographically weighted regression, logistic regression, and support vector machine models in Xing Guo area (China)
H Hong, B Pradhan, MI Sameen, W Chen, C Xu
Geomatics, Natural Hazards and Risk 8 (2), 1997-2022, 2017
542017
Performance evaluation and sensitivity analysis of expert-based, statistical, machine learning, and hybrid models for producing landslide susceptibility maps
B Pradhan, MI Seeni, B Kalantar
Laser scanning applications in landslide assessment, 193-232, 2017
512017
Systematic sample subdividing strategy for training landslide susceptibility models
MI Sameen, B Pradhan, DT Bui, AM Alamri
Catena 187, 104358, 2020
482020
Landslide spatial modelling using unsupervised factor optimisation and regularised greedy forests
MI Sameen, R Sarkar, B Pradhan, D Drukpa, AM Alamri, HJ Park
Computers & Geosciences 134, 104336, 2020
472020
A two-stage optimization strategy for fuzzy object-based analysis using airborne LiDAR and high-resolution orthophotos for urban road extraction
MI Sameen, B Pradhan
Journal of Sensors 2017, 2017
432017
Assessment of the effects of expressway geometric design features on the frequency of accident crash rates using high-resolution laser scanning data and GIS
MI Sameen, B Pradhan
Geomatics, Natural Hazards and Risk 8 (2), 733-747, 2017
372017
Landslide susceptibility modeling: an integrated novel method based on machine learning feature transformation
HAH Al-Najjar, B Pradhan, B Kalantar, MI Sameen, M Santosh, A Alamri
Remote Sensing 13 (16), 3281, 2021
362021
Integration of Ant Colony Optimization and Object-Based Analysis for LiDAR Data Classification
M Ibrahim, B Pradhan, H Shafri, MR Mezaal, H Hamid
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
36*2017
Mapping rubber trees based on phenological analysis of Landsat time series data-sets
JAA Razak, ARM Shariff, N Ahmad, M Ibrahim Sameen
Geocarto international 33 (6), 627-650, 2018
352018
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