Digital forensic visualization is an understudied area despite its potential to achieve significant improvements in the efficiency of an investigation, criminal or civil. In this study, a three-stage forensic d
Effective data visualization plays a crucial role in data analysis. It enables data analysts and others to explore complex datasets, comprehend patterns, and convey meaningful insights to various stakeholders. Today, there are numerous tools for creating visual representa...
Psychobiological measurements result in huge datasets, which are mandatory for the development of semi-automatic or automated emotion classification and hence a reliable planning and decision-making system called companion system. The mentioned amount of data calls for the need of making dependencies and...
in a variety of visualization scenarios. Based on this discussion, we derive a number of open questions still waiting to be answered, thus formulating a research agenda for the use of abstraction for the visual representation and exploration of data. This paper, therefore, is intended to provide...
Establish customer login ID’s for partner’s and 3rd party access to Power BI visualization dashboard Work with Customer to identify fundamental values and create 2-3 dashboards representing customer data Identify how to address multiple customer logins ...
Tangible props for scientific visualization: concept, requirements, application - Kruszy艅ski, Liere () Citation Context ... are limited to basic shapes. Their system would be unable to handle the complex organic forms, such as the ones found in biomedical datasets. Another closely related work ...
Catapult's 6-day Power BI Quick Start offer establishes an analytics foundation to rapidly deliver reports from existing datasets and gain a competitive advantage with data-driven business insights. With Catapult's Power BI Quick Start proof-of-con...
In this aspect, this study suggests an explainable model by rearranging features within the datasets to emphasize local patterns of abnormal events, and utilizing a CNN to fully leverage their locality and spatial relationship characteristics. 2.1.1. Two-channel convolutional neural networks A CNN is...
One of the grand future challenges of biomedical informatics research is to gain knowledge from complex high-dimensional datasets [2]. Within such data, relevant and interesting structural and/or temporal patterns (“knowledge”) are often hidden and not accessible to domain experts. The concepts ...
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