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Publication search results
found 2,290 matches
- 2024
- Ziqi Ma:
Object Detection in High-Definition Mapping for Autonomous Driving: Machine Learning Method and Quality Control. University of New South Wales, Sydney, Australia, 2024 - Jue Zhang:
Weakly Supervised Deep Learning Scheme for Solar Panel Mapping Using Remote Sensing Images. University of New South Wales, Sydney, Australia, 2024 - Shinfeng D. Lin, Paulo E. Linares Otoya:
LS-SIFT: Enhancing the Robustness of SIFT During Pose-Invariant Face Recognition by Learning Facial Landmark Specific Mappings. IEEE Access 12: 76648-76662 (2024) - Lasitha Piyathilaka, Sarath Kodagoda, Karthick Thiyagarajan, Massimo Piccardi, D. M. G. Preethichandra, Umer Izhar:
Learning Spatial Affordances From 3D Point Clouds for Mapping Unseen Human Actions in Indoor Environments. IEEE Access 12: 868-877 (2024) - Maylin Suleny Bojórquez Roque, Antonio García-Cabot, Eva García-Lopez, Luis Magdiel Oliva Córdova:
Digital Competence Learning Ecosystem in Higher Education: A Mapping and Systematic Review of the Literature. IEEE Access 12: 87596-87614 (2024) - Xinwei Chen, Fernando J. Pena Cantu, Muhammed Patel, Linlin Xu, Neil C. Brubacher, Katharine Andrea Scott, David A. Clausi:
A comparative study of data input selection for deep learning-based automated sea ice mapping. Int. J. Appl. Earth Obs. Geoinformation 131: 103920 (2024) - Masoumeh Hamidi, Saeid Homayouni, Abdolreza Safari, Hadiseh Hasani:
Deep learning based crop-type mapping using SAR and optical data fusion. Int. J. Appl. Earth Obs. Geoinformation 129: 103860 (2024) - Mingming Jia, Xianxian Guo, Lin Zhang, Mao Wang, Wenqing Wang, Chunyan Lu, Chuanpeng Zhao, Rong Zhang, Ming Wang, Hengqi Yan, Zongming Wang, Jochem Verrelst:
Mapping mangrove functional traits from Sentinel-2 imagery based on hybrid models coupled with active learning strategies. Int. J. Appl. Earth Obs. Geoinformation 130: 103905 (2024) - Zhenjie Liu, Yingyue Su, Xiangming Xiao, Yuanwei Qin, Jun Li, Luo Liu:
Identification and mapping of yellow-flowering rapeseed fields by combining social media data, Sentinel-2 imagery, deep learning algorithm, and Google Earth Engine. Int. J. Appl. Earth Obs. Geoinformation 132: 104047 (2024) - Jan Niedzielko, Dominik Kopec, Justyna Wylazlowska, Adam Kania, Jakub Charyton, Anna Halladin-Dabrowska, Maria Niedzielko, Karol Berlowski:
Airborne data and machine learning for urban tree species mapping: Enhancing the legend design to improve the map applicability for city greenery management. Int. J. Appl. Earth Obs. Geoinformation 128: 103719 (2024) - Milos Pandzic, Dejan Pavlovic, Predrag Matavulj, Sanja Brdar, Oskar Marko, Vladimir S. Crnojevic, Milan Kilibarda:
Interseasonal transfer learning for crop mapping using Sentinel-1 data. Int. J. Appl. Earth Obs. Geoinformation 128: 103718 (2024) - Vu-Dong Pham, Gideon Okpoti Tetteh, Fabian Thiel, Stefan Erasmi, Marcel Schwieder, David Frantz, Sebastian van der Linden:
Temporally transferable crop mapping with temporal encoding and deep learning augmentations. Int. J. Appl. Earth Obs. Geoinformation 129: 103867 (2024) - Jialin Sun, Shuai Yan, Xiaochuang Yao, Bingbo Gao, Jianyu Yang:
A Segment Anything Model based weakly supervised learning method for crop mapping using Sentinel-2 time series images. Int. J. Appl. Earth Obs. Geoinformation 133: 104085 (2024) - Lei Wu, Rui Liu, Nengpan Ju, Ao Zhang, Jingsong Gou, Guolei He, Yuzhu Lei:
Landslide mapping based on a hybrid CNN-transformer network and deep transfer learning using remote sensing images with topographic and spectral features. Int. J. Appl. Earth Obs. Geoinformation 126: 103612 (2024) - Yuanjun Xiao, Jingfeng Huang, Wei Weng, Ran Huang, Qi Shao, Chang Zhou, Shengcheng Li:
Class imbalance: A crucial factor affecting the performance of tea plantations mapping by machine learning. Int. J. Appl. Earth Obs. Geoinformation 129: 103849 (2024) - Lixian Zhang, Shuai Yuan, Runmin Dong, Juepeng Zheng, Bin Gan, Dengmao Fang, Yang Liu, Haohuan Fu:
SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 127: 103665 (2024) - Nyo Me Htun, Toshiaki Owari, Satoshi Tsuyuki, Takuya Hiroshima:
Mapping the Distribution of High-Value Broadleaf Tree Crowns through Unmanned Aerial Vehicle Image Analysis Using Deep Learning. Algorithms 17(2): 84 (2024) - Yaru Yu, Dewei Li, Dongya Zhao, Yugeng Xi, Aoyun Ma:
A co-design method of online learning SMC law via an input-mapping strategy. Autom. 159: 111392 (2024) - Aleksandra M. Paciorek, Claudio E. von Schacky, Sarah C. Foreman, Felix G. Gassert, Florian T. Gassert, Jan S. Kirschke, Karl-Ludwig Laugwitz, Tobias Geith, Martin Hadamitzky, Jonathan Nadjiri:
Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning. BMC Medical Imaging 24(1): 43 (2024) - Abdullah M. Braik, Maria Koliou:
Automated building damage assessment and large-scale mapping by integrating satellite imagery, GIS, and deep learning. Comput. Aided Civ. Infrastructure Eng. 39(15): 2389-2404 (2024) - Monica Hernandez, Ubaldo Ramon-Julvez:
Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation. Comput. Biol. Medicine 178: 108761 (2024) - Xingguo Xiong, Jie Yang, Renhai Zhong, Jinwei Dong, Jingfeng Huang, K. C. Ting, Yibin Ying, Tao Lin:
Integration of harvester trajectory and satellite imagery for large-scale winter wheat mapping using deep positive and unlabeled learning. Comput. Electron. Agric. 216: 108487 (2024) - Jiafu Zhao, Pengfei Chen:
High-resolution cropland mapping in China's Huang-Huai-Hai Plain: The coupling of machine learning methods and prior information. Comput. Electron. Agric. 224: 109225 (2024) - James Halvorsen, Clemente Izurieta, Haipeng Cai, Assefaw Hadish Gebremedhin:
Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review. ACM Comput. Surv. 56(10): 257 (2024) - Gazali Agboola, Leila Hashemi Beni, Tamer M. Elbayoumi, Gary Thompson:
Optimizing landslide susceptibility mapping using machine learning and geospatial techniques. Ecol. Informatics 81: 102583 (2024) - Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz:
Mapping global orchid assemblages with deep learning provides novel conservation insights. Ecol. Informatics 81: 102627 (2024) - Aser Mata, David Moffat, Sílvia Almeida, Marko Radeta, William Jay, Nigel Mortimer, Katie Awty-Carroll, Oliver R. Thomas, Vanda Brotas, Steve B. Groom:
Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas. Ecol. Informatics 82: 102708 (2024) - The Van Pham, Tuyet Anh Thi Do, Hau Duc Tran, Do Thi Ngoc Anh:
Classifying forest cover and mapping forest fire susceptibility in Dak Nong province, Vietnam utilizing remote sensing and machine learning. Ecol. Informatics 79: 102392 (2024) - Christina Lekka, George P. Petropoulos, Spyridon E. Detsikas:
Appraisal of EnMAP hyperspectral imagery use in LULC mapping when combined with machine learning pixel-based classifiers. Environ. Model. Softw. 173: 105956 (2024) - Mohammad Fereshtehpour, Mostafa Esmaeilzadeh, Reza Saleh Alipour, Steven J. Burian:
Impacts of DEM type and resolution on deep learning-based flood inundation mapping. Earth Sci. Informatics 17(2): 1125-1145 (2024)
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