Time-Resolved Sentinel-3 Vegetation Indices Via Inter-Sensor 3-D Convolutional Regression Networks

3-D Convolutional Neural Networks for Glioblastoma Segmentation

Convolutional Nerual Networks (CNN) have emerged as powerful tools for learning discriminative image features. In this paper, we propose a framework of 3-D fully CNN models for Glioblastoma segmentation from multi-modality MRI data. By generalizing CNN models to true 3-D convolutions in learning 3-D tumor MRI data, the proposed approach utilizes a unique network architecture to decouple image p...

Split Convolutional Approach to 3 D Depth

Cut and paste the follwing pages onto the oocial SEG expanded abstract form. If you have 8.5 x 14 inch paper available, we suggest you rerun the document using the \legalsize" option: ndocumentstyle seg,abstract,legalsize] frevtexg

Minimum Fuel Trajectory in a 3/ D Time Scheduled Climb

3-D Grid-Based Localization Technique in Mobile Sensor Networks

Considering the environmental protection, forest fire becomes a more and more serious problem and requires more concerns. This paper provides an efficient method for fire monitoring and detection in forests using wireless sensor network technology. The proposed technique estimates the location of a sensor node based on the current set of hop-count values, which are collected through the anchor ...

Robust Cubic-Based 3-D Localization for Wireless Sensor Networks

The rapid progress of wireless communication and the availability of many small-sized, light-weighted and low-cost communication and computing devices nowadays have greatly impacted the development of wireless sensor network. Localization using sensor network has attracted much attention for its comparable low-cost and potential use with monitoring and targeting purposes in real and hostile app...