B. Kalantar

发表

A geospatial solution using a TOPSIS approach for prioritizing urban projects in Libya

Maruwan S. A. B. Amazeeq, B. Pradhan, S. Mansor, 2018 .

GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran

Seyed Amir Naghibi, B. Pradhan, S. Naghibi, 2017 .

A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping

Seyed Amir Naghibi, B. Pradhan, O. Kisi, 2017 .

Optimized Conditioning Factors Using Machine Learning Techniques for Groundwater Potential Mapping

Alfian Abdul Halin, Seyed Amir Naghibi, N. Ueda, 2019, Water.

Synergistic Use of Genetic Algorithm and Spectral Angle Mapper for Hyperspectral Band Selection of Roof Materials

H. Shafri, B. Kalantar, 2015 .

Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS

Bahareh Kalantar, Biswajeet Pradhan, Seyed Amir Naghibi, 2018, Environmental Monitoring and Assessment.

Evaluation of the Effect of Hydroseeded Vegetation for Slope Reinforcement

Ojogbane Success Sani, H. Nahazanan, B. Kalantar, 2021, Land.

Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential

Bahareh Kalantar, Biswajeet Pradhan, Seyed Amir Naghibi, 2019, Environmental Monitoring and Assessment.

A COMPARISON BETWEEN THREE CONDITIONING FACTORS DATASET FOR LANDSLIDE PREDICTION IN THE SAJADROOD CATCHMENT OF IRAN

Alfian Abdul Halin, N. Ueda, H. A. Al-Najjar, 2020 .

Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia

Hossein Mojaddadi Rizeei, H. M. Rizeei, B. Kalantar, 2019, Geomatics, Natural Hazards and Risk.

AN EVALUATION OF LANDSLIDE SUSCEPTIBILITY MAPPING USING REMOTE SENSING DATA AND MACHINE LEARNING ALGORITHMS IN IRAN

N. Ueda, H. A. Al-Najjar, A. Motevalli, 2019, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

ZAB RIVER (IRAQ) SINUOSITY AND MEANDERING ANALYSIS BASED ON THE REMOTE SENSING DATA

Alfian Abdul Halin, B. Kalantar, A. A. Halin, 2020 .

Landslide susceptibility mapping at Dodangeh watershed, Iran using LR and ANN models in GIS

Naonori Ueda, Bahareh Kalantar, Biswajeet Pradhan, 2018, Remote Sensing.

BDD-Net: An End-to-End Multiscale Residual CNN for Earthquake-Induced Building Damage Detection

Alfian Abdul Halin, S. T. Seydi, N. Ueda, 2022, Remote. Sens..

Spatial assessment of accelerated surface runoff and water accumulation potential areas using AHP and data-driven GIS-based approach: the case of Ilorin metropolis, Nigeria

B. Kalantar, M. Idrees, Sanni A. Olateju, 2022, Geocarto International.

A Deep Learning Approach for Automated Building Outlines Extraction in Compact Urban Environments

Alfian Abdul Halin, S. T. Seydi, Ojogbane Success Sani, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Application and Potential of Drone Technology in Oil Palm Plantation: Potential and Limitations

N. Ueda, N. M. Nawi, B. Kalantar, 2022, Journal of Sensors.

Modelling Mean Albedo of Individual Roofs in Complex Urban Areas Using Satellite Images and Airborne Laser Scanning Point Clouds

M. I. Sameen, B. Pradhan, S. Mansor, 2017 .

Mapping Heterogeneous Urban Landscapes from the Fusion of Digital Surface Model and Unmanned Aerial Vehicle-Based Images Using Adaptive Multiscale Image Segmentation and Classification

Bahareh Kalantar, Shattri Mansor, Helmi Zulhaidi Mohd Shafri, 2020, Remote. Sens..

Unboxing the Black Box of Attention Mechanisms in Remote Sensing Big Data Using XAI

Alfian Abdul Halin, N. Ueda, B. Kalantar, 2022, Remote. Sens..

Novel Nature-Inspired Hybrids of Neural Computing for Estimating Soil Shear Strength

Bahareh Kalantar, Hossein Moayedi, Loke Kok Foong, 2019, Applied Sciences.

Two novel neural-evolutionary predictive techniques of dragonfly algorithm (DA) and biogeography-based optimization (BBO) for landslide susceptibility analysis

Bahareh Kalantar, Hossein Moayedi, Dieu Tien Bui, 2019, Geomatics, Natural Hazards and Risk.

Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping

Hoang Nguyen, Mohammad Mehrabi, Bahareh Kalantar, 2019, Geomatics, Natural Hazards and Risk.

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

Bahareh Kalantar, Biswajeet Pradhan, Shattri Mansor, 2018 .

Groundwater potential mapping using a novel data-mining ensemble model

Bahareh Kalantar, Biswajeet Pradhan, Hossein Hashemi, 2018, Hydrogeology Journal.

Application of Three Metaheuristic Techniques in Simulation of Concrete Slump

Bahareh Kalantar, Hossein Moayedi, Loke Kok Foong, 2019, Applied Sciences.

Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis

Bahareh Kalantar, Biswajeet Pradhan, Helmi Zulhaidi Mohd Shafri, 2017 .

Deep Ensemble Learning for Land Cover Classification Based on Hyperspectral Prisma Image

S. T. Seydi, N. Ueda, F. Shabani, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Invasive weed species’ threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate

L. Kumar, Mahyat Shafapour Tehrany, F. Shabani, 2020, Ecological Indicators.

Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks

Bahareh Kalantar, Biswajeet Pradhan, Shattri Mansor, 2019, Remote. Sens..

UAV AND LIDAR IMAGE REGISTRATION: A SURF-BASED APPROACH FOR GROUND CONTROL POINTS SELECTION

Bahareh Kalantar, Hossein Moayedi, Shattri Mansor, 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Development of UAV-Based PM2.5 Monitoring System

Naonori Ueda, Bahareh Kalantar, Shattri Mansor, 2021, Drones.

Determination of Young Elasticity Modulus in Bored Piles Through the Global Strain Extensometer Sensors and Real-Time Monitoring Data

Hossein Moayedi, Mu’azu Mohammed Abdullahi, Hoang Nguyen, 2019, Applied Sciences.

Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia

Naonori Ueda, Bahareh Kalantar, Saeid Janizadeh, 2021, Remote. Sens..

Spotted Hyena Optimizer and Ant Lion Optimization in Predicting the Shear Strength of Soil

Bahareh Kalantar, Hossein Moayedi, Dieu Tien Bui, 2019, Applied Sciences.

Composition and Morphology Characteristics of Magnetic Fractions of Coal Fly Ash Wastes Processed in High-Temperature Exposure in Thermal Power Plants

X. Bui, Hoang Nguyen, B. Kalantar, 2019, Applied Sciences.

A Novel Swarm Intelligence—Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility

Hossein Moayedi, Biswajeet Pradhan, Dieu Tien Bui, 2019, Sensors.

Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data

Bahareh Kalantar, Saeid Janizadeh, Mohammed Oludare Idrees, 2020, Remote. Sens..

Conditioning factor determination for mapping and prediction of landslide susceptibility using machine learning algorithms

Bahareh Kalantar, Biswajeet Pradhan, Vahideh Saeidi, 2019, Remote Sensing.

Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data

Bahareh Kalantar, Saeid Janizadeh, Vahideh Saeidi, 2020, Remote. Sens..

Fire-Net: A Deep Learning Framework for Active Forest Fire Detection

Alfian Abdul Halin, S. T. Seydi, N. Ueda, 2022, J. Sensors.

Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

Naonori Ueda, Bahareh Kalantar, Alfian Abdul Halin, 2020, Remote. Sens..

Performance Evaluation and Sensitivity Analysis of Expert-Based, Statistical, Machine Learning, and Hybrid Models for Producing Landslide Susceptibility Maps

Bahareh Kalantar, Biswajeet Pradhan, Maher Ibrahim Seeni, 2017 .

Application of an Ensemble Statistical Approach in Spatial Predictions of Bushfire Probability and Risk Mapping

Naonori Ueda, Bahareh Kalantar, Haluk Ozener, 2021, J. Sensors.

Conditioning Factors Determination for Landslide Susceptibility Mapping Using Support Vector Machine Learning

Alfian Abdul Halin, Naonori Ueda, Bahareh Kalantar, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Novel hybrids of adaptive neuro-fuzzy inference system (ANFIS) with several metaheuristic algorithms for spatial susceptibility assessment of seismic-induced landslide

Mohammad Mehrabi, Bahareh Kalantar, Hossein Moayedi, 2019, Geomatics, Natural Hazards and Risk.

The Effect of War on Land Use Dynamics in Mosul Iraq Using Remote Sensing and GIS Techniques

Naonori Ueda, Bahareh Kalantar, Huda Jamal Jumaah, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Aerial Imagery Paddy Seedlings Inspection Using Deep Learning

Alfian Abdul Halin, B. Kalantar, A. A. Halin, 2022, Remote. Sens..

Single image dehazing using second-generation wavelet transforms and the mean vector L2-norm

Bahareh Kalantar, Abd. Rahman Ramli, Asem Khmag, 2018, The Visual Computer.

Machine-Learning-Based Classification Approaches toward Recognizing Slope Stability Failure

Bahareh Kalantar, Hossein Moayedi, Loke Kok Foong, 2019, Applied Sciences.

A graph-based approach for moving objects detection from UAV videos

Naonori Ueda, Bahareh Kalantar, Mohsen Zand, 2018, Remote Sensing.

A Framework for Multiple Moving Objects Detection in Aerial Videos

Bahareh Kalantar, Shattri Mansor, Helmi Zulhaidi Mohd Shafri, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

Predicting PM2.5 levels over the north of Iraq using regression analysis and geographical information system (GIS) techniques

N. Ueda, S. Mansor, B. Kalantar, 2021, Geomatics, Natural Hazards and Risk.

Assessment of Convolutional Neural Network Architectures for Earthquake-Induced Building Damage Detection based on Pre- and Post-Event Orthophoto Images

Bahareh Kalantar, Alfian Abdul Halin, Naonori Ueda, 2020, Remote. Sens..

Multiple Moving Object Detection From UAV Videos Using Trajectories of Matched Regional Adjacency Graphs

Bahareh Kalantar, Helmi Zulhaidi Mohd Shafri, Mohsen Zand, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation

Bahareh Kalantar, Biswajeet Pradhan, Maher Ibrahim Sameen, 2021, Remote. Sens..

Urban Planning Using a Geospatial Approach: A Case Study of Libya

Bahareh Kalantar, Shattri Mansor, Hossein Mojaddadi Rizeei, 2019, Sustainability in Urban Planning and Design.

Debris Flow Susceptibility Assessment Using Airborne Laser Scanning Data

Bahareh Kalantar, Biswajeet Pradhan, B. Pradhan, 2017 .

Evaluation of PM2.5 Particulate Matter and Noise Pollution in Tikrit University Based on GIS and Statistical Modeling

N. Ueda, B. Kalantar, A. A. Halin, 2021, Sustainability.

Optimized Rule-Based Flood Mapping Technique Using Multitemporal RADARSAT-2 Images in the Tropical Region

Bahareh Kalantar, Biswajeet Pradhan, Maher Ibrahim Sameen, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

MSBDA-Net: Multi-scale Siamese Building Damage Assessment Network

N. Ueda, B. Kalantar, A. A. Halin, 2022, 2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).

A Comprehensive Review of Geospatial Technology Applications in Earthquake Preparedness, Emergency Management, and Damage Assessment

B. Pradhan, F. Shabani, H. Ozener, 2023, Remote. Sens..

Improving the accuracy of landslide susceptibility model using a novel region-partitioning approach

Wei Chen, A-Xing Zhu, Bahareh Kalantar, 2018, Landslides.

Oil Palm Counting and Age Estimation from WorldView-3 Imagery and LiDAR Data Using an Integrated OBIA Height Model and Regression Analysis

Bahareh Kalantar, Biswajeet Pradhan, Helmi Zulhaidi Mohd Shafri, 2018, J. Sensors.

Geospatial Multicriteria Analysis for Earthquake Risk Assessment: Case Study of Fujairah City in the UAE

Diena Al Dogom, N. Ueda, K. Schuckman, 2021, J. Sensors.

Habitat in flames: How climate change will affect fire risk across koala forests

F. Shabani, Mohsen Ahmadi, L. Beaumont, 2023, Environmental Technology & Innovation.

Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model

S. T. Seydi, N. Ueda, B. Kalantar, 2022, J. Sensors.

High-Resolution Lidar-Derived DEM for Landslide Susceptibility Assessment Using AHP and Fuzzy Logic in Serdang, Malaysia

H. Shafri, H. Nahazanan, B. Kalantar, 2023, Géosciences.

Environmental Technology & Innovation

F. Shabani, B. Kalantar, A. Ossola, 2022 .

Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence

S. T. Seydi, F. Shabani, B. Kalantar, 2023, Geomatics, Natural Hazards and Risk.

Object-Oriented Approach for Urbanization Growth by Using Remote Sensing and GIS Techniques: A Case Study in Hilla City, Babylon Governorate, Iraq

Alfian Abdul Halin, S. Mansor, H. Moayedi, 2021, The Urban Book Series.

Application of Machine Learning Algorithms and Their Ensemble for Landslide Susceptibility Mapping

N. Ueda, B. Kalantar, V. Saeidi, 2020, Understanding and Reducing Landslide Disaster Risk.

Automated Building Detection from Airborne LiDAR and Very High-Resolution Aerial Imagery with Deep Neural Network

Naonori Ueda, Bahareh Kalantar, Shattri Mansor, 2021, Remote. Sens..

Ensemble Disagreement Active Learning for Spatial Prediction of Shallow Landslide

Bahareh Kalantar, Biswajeet Pradhan, Maher Ibrahim Sameen, 2017 .