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COMPARATIVE STUDY ON DEEP NEURAL NETWORK MODELS FOR CROP CLASSIFICATION USING TIME SERIES POLSAR AND OPTICAL DATA
Deep neural networks CNNs LSTMs ConvLSTMs Crop classification
2019/2/28
Crop classification is an important task in many crop monitoring applications. Satellite remote sensing has provided easy, reliable, and fast approaches to crop classification task. In this study, a c...
SEMANTIC SEGMENTATION OF CONVOLUTIONAL NEURAL NETWORK FOR SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING
Semantic Segmentation Multi Spectral Remote Sensing Convolutional Neural Network U-net multi-scale image
2018/5/16
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the classification of roads, vegetation, buildings and water from remot...
Workshop on Tensor Network States:Algorithms and Applications
Workshop Tensor Network States Algorithms Applications
2018/1/11
Tensor network states have in recent years emerged as a powerful theoretical tool to study quantum collective phenomena. Some of the most popular tensor networks, such as the matrix product state (MPS...
Testing of the transionospheric radiochannel using data from the global GPS network
total electron content GPS transionospheric radiochannel geomagnetic disturbances space weather
2015/9/17
Using the international ground-based network of two-frequency receivers of the GPS navigation system provides a
means of carrying out a global, continuous and fully-computerized monitoring of phase f...
A new magnetotelluric monitoring network operating in Agri Valley (Southern Italy): study of stability of apparent resistivity estimates
magnetotelluric remote reference apparent resistivity curve earthquake precursors
2015/9/1
Variations detected in geophysical, especially electromagnetic, parameters in seismic active areas have been
sometimes attributed to modifications of the stress field. Among the different geophysical...
ON THE USE OF AIRBORNE LASER SCANNING DATA TO VERIFY AND ENRICH ROAD NETWORK FEATURES
LIDAR Surface Parameter Extraction Detection
2015/8/13
High-resolution digital terrain models (DTM) provide accurate descriptions of our surrounding with respect to its 2.5D shape.
Besides that existing cartographic databases provide detailed 2D represe...
A Neural Network based Background Supression Technique applied to VHE Gamma Ray Data coming from the Crab Pulsar
Imaging Atmospheric Cherenkov Technique Flux Upper Limit
2014/12/12
In this thesis we present new results for the 99.9% confidence level flux upper limits on the pulsed VHE gamma ray signal coming from the Crab pulsar. In order to achieve optimum hadronic background s...
Evolution of robust network topologies: Emergence of central backbones
Evolution of robust network topologies Emergence of central backbones Computational Physics
2012/6/6
We model the robustness against random failure or intentional attack of networks with arbitrary large-scale structure, by constructing a block-based model which incorporates - in a general fashion - b...
Speed of complex network synchronization
Complex systems Synchronization coupled oscillators Synchronization in the nervous system
2011/9/14
Synchrony is one of the most common dynamical states emerging on networks. The speed of convergence towards synchrony provides a fundamental collective time scale for synchronizing systems. Here we st...
Multiscale approach for bone remodeling simulation based on finite element and neural network computation
Multiscale Hierarchical Bone remodeling Finite element Neural network
2011/8/5
Abstract: The aim of this paper is to develop a multiscale hierarchical hybrid model based on finite element analysis and neural network computation to link mesoscopic scale (trabecular network level)...
The Swiss Board Directors Network in 2009
Boards of directors Complex networks Corporate governance
2011/9/28
We study the networks formed by the directors of the most important Swiss boards and the boards themselves for the year 2009. The networks are obtained by projection from the original bipartite graph....
Sybil accounts are fake identities created to unfairly increase the power or resources of a singlemalicious user. Researchers have long known about the existence of Sybil accounts in online communitie...
Robust network community detection using balanced propagation
community detection propagation
2011/9/6
Label propagation has proven to be an extremely fast method for detecting communities in large complex networks. Furthermore, due to its simplicity, it is also currently one of the most commonly adopt...
Abstract—We show a simple method for constructing an infinite family of graph formation games with link bias so that the resulting games admits, as a pairwise
stable solution, a graph with an arbitra...
Finding and testing network communities by lumped Markov chains
networks communities Markov chains random walks
2011/8/29
Identifying communities (or clusters), namely groups of nodes with comparatively strong internal connectivity, is a fundamental task for deeply understanding the structure and function of a network. Y...