„Graph processing“

Suchergebnisse

10.000+ Treffer

• Improving AMSR2-derived Snow Depth Spatial Resolution Through Synergistic Combination of Machine Learning and Random Sets Over the European Alps
  Ghofrani Esfahani, Ali ; Moradizadeh, Mina ; Srivastava, Prashant K.
• JDC-GCN: joint diversity and consistency graph convolutional network
  Lin, Renjie ; Yao, Jie ; Wang, Shiping ; Guo, Wenzhong
• Real-time Identification and Measurement of Transmission Lines Based On Mobile LiDAR Scanning
  Li, Minglei ; Xu, Li ; Li, Min
• Convolutional Neural Networks for Mineral Prospecting Through Alteration Mapping with Remote Sensing Data
  Farahbakhsh, Ehsan ; Goel, Dakshi ; Pimparkar, Dhiraj ; Müller, R. Dietmar ; Chandra, Rohitash
• PG-SAG: Parallel Gaussian Splatting for Fine-Grained Large-Scale Urban Buildings Reconstruction via Semantic-Aware Grouping
  Wang, Tengfei ; Wang, Xin ; Hou, Yongmao ; Xu, Yiwei ; Zhang, Wendi ; Zhan, Zongqian
• Trend Change Point Detection in InSAR Derived Displacement Time Series Using MALkCNN: A Deep Learning Approach
  Arya Fakhri, Seyed ; Satari, Mehran
• Generating prediction clustering graph network analysis data from masked time series with GANs
  Toujani, Radhia ; Hendaoui, Fatma ; Ferchichi, Ahlem ; Chihaoui, Mejda ; Ferchichi, Aya ; Bakari, Wided
• Beyond Data, Towards Sustainability: a Sydney Case Study On Urban Digital Twins
  Sohail, Ammar ; Shen, Bojie ; Cheema, Muhammad Aamir ; Ali, Mohammed Eunus ; Ulhaq, Anwaar ; Babar, Muhammad Ali ; Qureshi, Asama
• Ground Resolved Distance Estimation of Sentinel-2 Imagery Using Edge-based Scene-Driven Approach
  Dadrass Javan, Farzaneh ; Samadzadegan, Farhad ; Toosi, Ahmad ; Schneider, Mathias ; Persello, Claudio
• A novel coarse-grained knowledge graph embedding framework for platform risk identification from relational data
  Zhang, Qi ; Wang, Shicheng ; Wang, Lihong ; Sheng, Jiawei ; Guo, Shu ; Li, Chen ; He, Min ; Zhang, Renqiang
• Heterogeneous graph multi-level semantics extraction for node classification
  Hao, Haochang ; Huang, Jun ; Rao, Shuzhen
• Exploring U-Net Deep Learning Model for Landslide Detection Using Optical Imagery, Geo-indices, and SAR Data in a Data Scarce Tropical Mountain Region
  Vega, Johnny ; Palomino-Ángel, Sebastián ; Hidalgo, Cesar
• Enhancing link prediction in graph data augmentation through graphon mixup
  Sultana, Tangina ; Hossain, Md. Delowar ; Morshed, Md. Golam ; Lee, Young-Koo
• Image quality assessment by enabling inter-patch message passing via graph convolutional networks
  Liu, Yufan ; Guo, Jiefeng
• SE-GCL: an event-based simple and effective graph contrastive learning for text representation
  Meng, Tao ; Ai, Wei ; Li, Jianbin ; Wang, Ze ; Li, Keqin
• A self-supervised graph convolutional model for recommendation with exponential moving average
  Chen, Rui ; Pang, Kangning ; Wang, Zonglin ; Liu, Qingfang ; Tang, Cundong ; Chang, Yanshuo ; Huang, Min
• Improving graph collaborative filtering with network motifs
  Zhang, Yuqi ; Yu, Jian ; Liu, Zhizhong ; Wang, Guiling ; Nguyen, Minh ; Sheng, Quan Z. ; Wang, Nancy
• Geolocation-Aware Deep Coding – Infusing Geolocation Information into Deep Neural Networks for Remote Sensing
  Madadikhaljan, Mojgan ; Schmitt, Michael
• Leaf Chlorophyll Concentration Estimation Using Absorption Spectroscopy of AVIRIS-NG for a Mangrove Forest in India
  Paramanik, Somnath ; Behera, Mukunda Dev ; Deep, Nikhil Raj ; Barnwal, Surbhi ; Bhattacharya, Bimal Kumar ; Behera, Soumit Kumar ; Swain, Dillip Kumar ; Dash, Jadunandan
• Graph neural networks-based spatiotemporal prediction of photovoltaic power: a comparative study
  Abdelkader, Dairi ; Fouzi, Harrou ; Belkacem, Khaldi ; Ying, Sun