Browsing byAuthorPradhan, B

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Issue DateTitleAuthor(s)
2022-02-09A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing DataShirmard, H; Farahbakhsh, E; Heidari, E; Beiranvand Pour, A; Pradhan, B; Müller, D; Chandra, R
2020-10-01A comparative study of THG, AS, TA, Theta, TDX and LTHG techniques for improving source boundaries detection of magnetic data using synthetic models: A case study from G. Um Monqul, North Eastern Desert, EgyptEldosouky, AM; Pham, LT; Mohmed, H; Pradhan, B
2021-01-01A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks optimization algorithmZhang, H; Nguyen, H; Bui, XN; Pradhan, B; Asteris, PG; Costache, R; Aryal, J
2021-01-28A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks optimization algorithmZhang, H; Nguyen, H; Bui, X-N; Pradhan, B; Asteris, PG; Costache, R; Aryal, J
2021-02-01A hybrid model of environmental impact assessment of PM<inf>2.5</inf> concentration using multi-criteria decision-making (MCDM) and geographical information system (GIS)—a case studyZarandi, SM; Shahsavani, A; Nasiri, R; Pradhan, B
2021-07-21A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, IranRafiei Sardooi, E; Azareh, A; Mesbahzadeh, T; Soleimani Sardoo, F; Parteli, EJR; Pradhan, B
2021-12-01A hybridized model based on neural network and swarm intelligence-grey wolf algorithm for spatial prediction of urban flood-inundationDarabi, H; Torabi Haghighi, A; Rahmati, O; Jalali Shahrood, A; Rouzbeh, S; Pradhan, B; Tien Bui, D
2021-11-01A meta-learning approach of optimisation for spatial prediction of landslidesPradhan, B; Sameen, MI; Al-Najjar, HAH; Sheng, D; Alamri, AM; Park, HJ
2021-10-01A new integrated approach for landslide data balancing and spatial prediction based on generative adversarial networks (GAN)Al-Najjar, HAH; Pradhan, B; Sarkar, R; Beydoun, G; Alamri, A
2021-03-01A new strategy for spatial predictive mapping of mineral prospectivity: Automated hyperparameter tuning of random forest approachDaviran, M; Maghsoudi, A; Ghezelbash, R; Pradhan, B
2020-07A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility.Arabameri, A; Saha, S; Roy, J; Tiefenbacher, JP; Cerda, A; Biggs, T; Pradhan, B; Thi Ngo, PT; Collins, AL
2021-07-04A Novel Technique for Modeling Ecosystem Health Condition: A Case Study in Saudi ArabiaMallick, J; AlQadhi, S; Talukdar, S; Pradhan, B; Bindajam, AA; Islam, ARMT; Dajam, AS
2020-06-08A Review of Models Used for Investigating Barriers to Healthcare Access in Australia.Shukla, N; Pradhan, B; Dikshit, A; Chakraborty, S; Alamri, AM
2020-12-11A Review on Assessing and Mapping Soil Erosion Hazard Using Geo-Informatics Technology for Farming System ManagementSenanayake, S; Pradhan, B; Huete, A; Brennan, J
2020-01-01A Review on Recent Progress in Thermal Imaging and Deep Learning Approaches for Breast Cancer DetectionRoslidar, R; Rahman, A; Muharar, R; Syahputra, MR; Arnia, F; Syukri, M; Pradhan, B; Munadi, K
2020-11-11A spatio-temporal agent-based approach for modeling the spread of zoonotic cutaneous leishmaniasis in northeast Iran.Tabasi, M; Alesheikh, AA; Sofizadeh, A; Saeidian, B; Pradhan, B; AlAmri, A
2021-01-01ADMT: Advanced driver's movement tracking system using spatio-temporal interest points and maneuver anticipation using deep neural networksGite, S; Pradhan, B; Alamri, A; Kotecha, K
2021-02Agricultural drought risk assessment of Northern New South Wales, Australia using geospatial techniques.Hoque, MA-A; Pradhan, B; Ahmed, N; Sohel, MSI
2019-08-01Agriculture sprawl assessment using multi-temporal remote sensing images and its environmental impact; Al-Jouf, KSAYoussef, AM; Abu Abdullah, MM; Pradhan, B; Gaber, AFD
2019-08-01Allocation of emergency response centres in response to pluvial flooding-prone demand points using integrated multiple layer perceptron and maximum coverage location problem modelsRizeei, HM; Pradhan, B; Saharkhiz, MA