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This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional neural network archit...
We propose a cost-effective, reconfigurable optical access network by employing passive components in the remote node and dual conventional optical transceivers in ONUs. The architecture is demonstrat...
This paper discusses the prospects of and challenges facing the next generation transport network architectures. Enhancements expected in optical path technologies are highlighted and state-of-the-art...
A new architecture for broadband multicasting of optical messages is proposed and demonstrated on a programmable optical packet switching test-bed. Optical packets with wavelength-striped 8×10 Gb/s pa...
Approaches to machine intelligence based on brain models use neural networks for generalization but they do so as signal processing black boxes. In reality, the brain consists of many modules that ope...
Next-generation Internet will be governed by the need for flexibility. Heterogeneous end-systems, novel applications, and security and manageability challenges require networks to provide a broad rang...
Independently from artificial intelligence applications, an artificial neural network can be viewed as a powerful tool for function reconstruction. Previous papers used this property to model an impli...
A hierarchical network suitable for interconnection of real-time client processes in a distributed multiprocessor environment is presented in this paper. A multi-layer {\it Communication Unit} (CU) pr...
We present a novel PON architecture supporting RoF and OFDMA signal integration without WDM lasers, and demonstrate 10-Gb/s OFDMA and three RF signals at 2.1GHz are successfully transmitted over 20km ...
We propose a GMPLS based Multi Layer Service Network Architecture accommodating multiple services over optical network and Layer1-on-demand service with its implementation in Japan’s nationwide networ...

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