Machine Learning

Re-curated Breast Imaging Subset DDSM Dataset (RBIS-DDSM) is a curated version of 849 images from the CBIS-DDSM dataset available online with a permissive copyright license (CC-BY-SA 3.0). The  CBIS-DDSM dataset is an improved version of the DDSM dataset. The authors of the CBIS-DDSM dataset attempted to improve the ground truth by applying simple image processing based methods to enhance the edges without any manual intervention from medical experts in order to segment and annotate masses. However, these annotations (segmentation maps) are inaccurate in most of the images. 

Object detection via images has advanced quickly over the last few decades, their detection accuracy, categorization, and localization are not consistent. Achieving fast and accurate detection of fashion products in the e-commerce environment is very important for selecting the right category. This is closely related to customer satisfaction and happiness which is a critical aspect. 

Study of mind and nature of intelligence is widely studied in cognitive science. Also, Artificial Wisdom which redefines the Artificial Wisdom is emerging research area where machine intelligence must collaborates with the constructive behavior and values of humanity. Thinking ability of human beings is recognized as the consciousness. Researchers from different domains like Cognitive Science, Artificial Intelligence, Psychology, Computer Engineering etc. are used to perform experimentations on consciousness or arousal of thoughts.

A Dataset Bundle for Building Automation and Control Systems

useful for Security Analysis and to study the normal operation of these systems

This document describes a dataset bundle with diverse types of attacks, and also a not poisoned dataset. The capture was obtained in a real house with a complete Building Automation and Control System (BACS). This document describes the several included datasets and how their data can be employed in security analysis of KNX based building Automation.