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In this paper we examine a technique for developing prognostic image characteristics, termed radiomics, for non-small cell lung cancer based on a tumour edge region-based analysis. Texture features were extracted from the rind of the tumour in a publicly available 3D CT data set to predict two-year survival. The derived models were compared against the previous methods of training radiomic signatures that are descriptive of the whole tumour volume. Radiomic features derived solely from regions external, but neighbouring, the tumour were shown to also have prognostic value.

In this paper we address the task of counting crop plants in a field using CNNs. The number of plants in an Unmanned Aerial Vehicle (UAV) image of the field is estimated using regression instead of classification. This avoids to need to know (or guess) the maximum expected number of plants. We also describe a method to extract images of sections or "plots" from an orthorectified image of the entire crop field. These images will be used for training and evaluation of the CNN.

Power distribution system operators require knowledge of power injections for accomplishing various grid dispatch tasks. Monitoring, collecting, and processing smart meter data across all grid nodes, however, may not be affordable given the communication and storage resources. In this context,

Abstract

Corporations are dealing with the traditions of managing security in silos, leading to an increased number of attacks on things like critical infrastructure. Corporate (Physical) Security deals with facilities and building access, whereas IT Security is dealing with cybersecurity as well as system and network access. It’s as if they are living on different planets!