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Publication search results
found 209 matches
- 2024
- Mohammad Marjani
, Masoud MahdianPari
, Seyed Ali Ahmadi
, Emadoddin Hemmati, Fariba Mohammadimanesh, Mohammad Saadi Mesgari:
Application of Explainable Artificial Intelligence in Predicting Wildfire Spread: An ASPP-Enabled CNN Approach. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - MohammadAli Hemati
, Masoud MahdianPari
, Hodjat Shiri
, Fariba Mohammadimanesh:
Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using Machine Learning: Multi-Scale Approach. Remote. Sens. 16(5): 831 (2024) - Mohammad Marjani
, Masoud MahdianPari
, Fariba Mohammadimanesh
:
CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction. Remote. Sens. 16(8): 1467 (2024) - Mohammad Marjani
, Masoud MahdianPari
, Fariba Mohammadimanesh
, Eric W. Gill:
CVTNet: A Fusion of Convolutional Neural Networks and Vision Transformer for Wetland Mapping Using Sentinel-1 and Sentinel-2 Satellite Data. Remote. Sens. 16(13): 2427 (2024) - Ali Radman
, Fariba Mohammadimanesh
, Masoud MahdianPari
:
Wet-ConViT: A Hybrid Convolutional-Transformer Model for Efficient Wetland Classification Using Satellite Data. Remote. Sens. 16(14): 2673 (2024) - Hamid Jafarzadeh
, Masoud MahdianPari
, Eric W. Gill
, Fariba Mohammadimanesh
:
Enhancing Wetland Mapping: Integrating Sentinel-1/2, GEDI Data, and Google Earth Engine. Sensors 24(5): 1651 (2024) - Benyamin Hosseiny
, Masoud MahdianPari
, MohammadAli Hemati
, Ali Radman
, Fariba Mohammadimanesh, Jocelyn Chanussot
:
Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1035-1052 (2024) - Mohammad Amin Mahdian, Ebadollah Taheri, Kaveh Hassan Rahbardar Mojaver, Mahdi Nikdast:
Photonic Physically Unclonable Functions using Ring-Assisted Contra-Directional Couplers. OFC 2024: 1-3 - Yuan Deng
, Mohammad Mahdian
, Jieming Mao
, Vahab Mirrokni
, Hanrui Zhang
, Song Zuo
:
Efficiency of the Generalized Second-Price Auction for Value Maximizers. WWW 2024: 46-56 - Navid Mahdian, Mohammad Jani, Amir M. Soufi Enayati, Homayoun Najjaran:
Ego-Motion Aware Target Prediction Module for Robust Multi-Object Tracking. CoRR abs/2404.03110 (2024) - 2023
- Mohammad Marjani, Seyed Ali Ahmadi, Masoud MahdianPari:
FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction. Ecol. Informatics 78: 102282 (2023) - Santiago R. Balseiro
, Negin Golrezaei
, Mohammad Mahdian
, Vahab Mirrokni, Jon Schneider:
Contextual Bandits with Cross-Learning. Math. Oper. Res. 48(3): 1607-1629 (2023) - Ali Radman
, Masoud MahdianPari
, Brian Brisco, Bahram Salehi
, Fariba Mohammadimanesh
:
Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification. Remote. Sens. 15(1): 75 (2023) - Mohammad Javad Najafirad
, Nima Mahdian Dehkordi
, Mohsen Hamzeh
, Hamidreza Nazaripouya
:
Distributed Event-Triggered Control of DC Microgrids With Input Saturation and Time Delay Constraints. IEEE Syst. J. 17(3): 4786-4797 (2023) - Mohammad Haji Seyed Javadi, Mohsen Faryabi, Hamid Reza Mahdiani:
A Comprehensive Model for Efficient Design Space Exploration of Imprecise Computational Blocks. ACM Trans. Embed. Comput. Syst. 22(6): 103:1-103:20 (2023) - Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni:
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees. ICML 2023: 14353-14375 - Ebadollah Taheri
, Mohammad Amin Mahdian
, Sudeep Pasricha
, Mahdi Nikdast
:
TRINE: A Tree-Based Silicon Photonic Interposer Network for Energy-Efficient 2.5D Machine Learning Acceleration. NoCArc@MICRO 2023: 15-20 - Mohammad Amin Mahdian, Ebadollah Taheri, Mahdi Nikdast:
PARS: A Power-Aware and Reliable Control Plane for Silicon Photonic Switch Fabrics. PSC 2023: 1-3 - Mohammad Mahdian
, Jieming Mao
, Kangning Wang
:
Regret Minimization with Noisy Observations. EC 2023: 963 - Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni:
Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees. CoRR abs/2302.00037 (2023) - Yangsibo Huang, Haotian Jiang, Daogao Liu, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni:
Learning across Data Owners with Joint Differential Privacy. CoRR abs/2305.15723 (2023) - Yuan Deng, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo:
Efficiency of the Generalized Second-Price Auction for Value Maximizers. CoRR abs/2310.03105 (2023) - 2022
- Ali Jamali
, Masoud MahdianPari, Fariba Mohammadimanesh, Saeid Homayouni:
A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples. Int. J. Appl. Earth Obs. Geoinformation 115: 103095 (2022) - Ali Jamali
, Masoud MahdianPari, Brian Brisco, Dehua Mao, Bahram Salehi, Fariba Mohammadimanesh:
3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer. Ecol. Informatics 72: 101904 (2022) - Mohammadreza Sadeghi, Marco Philippi, Amir Mahdian
, Frank Slomka
:
MIAT Efficient analysis of adaptive variable-rate tasks. J. Syst. Archit. 127: 102472 (2022) - Ali Jamali
, Masoud MahdianPari
, Fariba Mohammadimanesh
, Avik Bhattacharya
, Saeid Homayouni
:
PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - Mohammed Dabboor
, Ian Olthof, Masoud MahdianPari
, Fariba Mohammadimanesh, Mohammed Shokr, Brian Brisco
, Saeid Homayouni
:
The RADARSAT Constellation Mission Core Applications: First Results. Remote. Sens. 14(2): 301 (2022) - Hamid Jafarzadeh
, Masoud MahdianPari
, Eric W. Gill, Brian Brisco, Fariba Mohammadimanesh:
Remote Sensing and Machine Learning Tools to Support Wetland Monitoring: A Meta-Analysis of Three Decades of Research. Remote. Sens. 14(23): 6104 (2022) - Ali Jamali
, Masoud MahdianPari
, Fariba Mohammadimanesh
, Brian Brisco
, Bahram Salehi
:
3-D Hybrid CNN Combined With 3-D Generative Adversarial Network for Wetland Classification With Limited Training Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8095-8108 (2022) - Benyamin Hosseiny
, Masoud MahdianPari
, Brian Brisco
, Fariba Mohammadimanesh
, Bahram Salehi
:
WetNet: A Spatial-Temporal Ensemble Deep Learning Model for Wetland Classification Using Sentinel-1 and Sentinel-2. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
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