Showing results 1 to 20 of 47
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| Issue Date | Title | Author(s) |
| 2022-11-01 | A new application of deep neural network (LSTM) and RUSLE models in soil erosion prediction. | Senanayake, S; Pradhan, B; Alamri, A; Park, H-J |
| 2021-10-01 | A 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 |
| 2023 | A New Method for Diagnosis of Leukemia Utilizing a Hybrid DL-ML Approach for Binary and Multi-Class Classification on a Limited-Sized Database | Deshpande, NM; Gite, S; Pradhan, B; Alamri, A; Lee, C-W |
| 2022-01-01 | A new method to promptly evaluate spatial earthquake probability mapping using an explainable artificial intelligence (XAI) model | Jena, R; Pradhan, B; Gite, S; Alamri, A; Park, HJ |
| 2022-01-01 | A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset | Al-Najjar, HAH; Pradhan, B; Beydoun, G; Sarkar, R; Park, HJ; Alamri, A |
| 2021-01-01 | ADMT: Advanced driver's movement tracking system using spatio-temporal interest points and maneuver anticipation using deep neural networks | Gite, S; Pradhan, B; Alamri, A; Kotecha, K |
| 2021 | An optimized Deep Neural Network Approach for Vehicular Traffic Noise Trend Modelling | Ahmed, AA; Pradhan, B; Chakraborty, S; Alamri, A; Lee, C-W |
| 2020-01-01 | Artificial intelligence techniques in extracting building and tree footprints using aerial imagery and LiDAR data | Vayghan, SS; Salmani, M; Ghasemkhani, N; Pradhan, B; Alamri, A |
| 2021-01-01 | Attention Span Prediction Using Head-Pose Estimation with Deep Neural Networks | Singh, T; Mohadikar, M; Gite, S; Patil, S; Pradhan, B; Alamri, A |
| 2020-01-01 | Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture | Abdollahi, A; Pradhan, B; Gite, S; Alamri, A |
| 2021-01-01 | Deep learning and explainable artificial intelligence techniques applied for detecting money laundering – a critical review | Kute, DV; Pradhan, B; Shukla, N; Alamri, A |
| - | Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review | Abdollahi, A; Pradhan, B; Shukla, N; Chakraborty, S; Alamri, A |
| 2021-10-07 | Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images | HORRY, M; Chakraborty, S; Pradhan, B; Paul, M; Gomes, D; Ul-Haq, A; Alamri, A |
| 2021-11-08 | Detection of Iris Presentation Attacks Using Feature Fusion of Thepade's Sorted Block Truncation Coding with Gray-Level Co-Occurrence Matrix Features. | Khade, S; Gite, S; Thepade, SD; Pradhan, B; Alamri, A |
| 2021-01-01 | Detection of Iris Presentation Attacks Using Hybridization of Discrete Cosine Transform and Haar Transform with Machine Learning Classifiers and Ensembles | Khade, S; Gite, S; Thepade, SD; Pradhan, B; Alamri, A |
| 2022-01-01 | Developing a prototype landslide early warning system for Darjeeling Himalayas using SIGMA model and real-time field monitoring | Abraham, MT; Satyam, N; Pradhan, B; Segoni, S; Alamri, A |
| 2021-09-01 | Developing a volunteered geographic information-based system for rapidly estimating damage from natural disasters | Bayazidy-Hasanabad, M; Vayghan, SS; Ghasemkhani, N; Pradhan, B; Alamri, A |
| 2021-08 | Developing vehicular traffic noise prediction model through ensemble machine learning algorithms with GIS | Ahmed, AA; Pradhan, B; Chakraborty, S; Alamri, A |
| 2021-08 | Developing vehicular traffic noise prediction model through ensemble machine learning algorithms with GIS | Ahmed, AA; Pradhan, B; Chakraborty, S; Alamri, A |
| 2021-08 | Developing vehicular traffic noise prediction model through ensemble machine learning algorithms with GIS | Ahmed, AA; Pradhan, B; Chakraborty, S; Alamri, A |
