Vimala Nunavaths bilde

Vimala Nunavath

Vitenskapelig artikkel
  • Vis forfatter(e) 2019. CrowdVAS-Net: A deep-CNN based framework to detect abnormal crowd-motion behavior in videos for predicting crowd disaster. IEEE International Conference on Systems, Man and Cybernetics (SMC). 2877-2882.
  • Vis forfatter(e) 2017. Liferescue software prototype for supporting emergency responders during fire emergency response: A usability and user requirements evaluation. Lecture Notes in Computer Science (LNCS). 480-498.
  • Vis forfatter(e) 2017. Identifying First Responders Information Needs: Supporting Search and Rescue Operations for Fire Emergency Response. International Journal of Information Systems for Crisis Response and Management. 25-46.
  • Vis forfatter(e) 2017. Data sources handling for emergency management: Supporting information availability and accessibility for emergency responders. Lecture Notes in Computer Science (LNCS). 240-259.
  • Vis forfatter(e) 2016. Taking the advantage of smartphone apps for understanding information needs of emergency response teams’ for situational awareness: Evidence from an indoor fire game. Lecture Notes in Computer Science (LNCS). 563-571.
  • Vis forfatter(e) 2016. Representing fire emergency response knowledge through a domain modelling approach. NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi.
Vitenskapelig foredrag
  • Vis forfatter(e) 2015. Model-Based Data Integration for Emergency Management.
Vitenskapelig antologi/Konferanseserie
  • Vis forfatter(e) 2017. LifeRescue Software Prototype for Supporting Emergency Responders During Fire Emergency Response: A Usability and User Requirements Evaluation. Springer, Cham.
  • Vis forfatter(e) 2017. Data Sources Handling for Emergency Management: Supporting Information Availability and Accessibility for Emergency Responders. Springer Cham.
  • Vis forfatter(e) 2017. Model-Driven Data Integration for Emergency Response : Doctoral Dissertation for the Degree Philosophiae Doctor (PhD) at the Faculty of Engineering and Science, Specialization in Information and Communication Technology. 171.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Vis forfatter(e) 2020. Big Data. 15 sider.
  • Vis forfatter(e) 2019. The Use of Artificial Intelligence in Disaster Management - A Systematic Literature Review.
  • Vis forfatter(e) 2018. The Role of Artificial Intelligence in Social Media Big data Analytics for Disaster Management - Initial Results of a Systematic Literature Review.
  • Vis forfatter(e) 2018. Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character. 11 sider.
  • Vis forfatter(e) 2018. Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease. 12 sider.
  • Vis forfatter(e) 2018. A Multi-Layer Feed Forward Neural Network Approach for Diagnosing Diabetes. 5 sider.
  • Vis forfatter(e) 2017. Visualization of Exchanged Information with Dynamic Networks: A Case Study of Fire Emergency Search and Rescue Operation . 6 sider.
  • Vis forfatter(e) 2017. Qualitative and Quantitative Study on Videotaped Data for Fire Emergency Response. 10 sider.
  • Vis forfatter(e) 2016. The Impacts of ICT Support on Information Distribution, Task Assignment for Gaining Teams’ Situational Awareness in Search and Rescue Operations. 14 sider.
  • Vis forfatter(e) 2015. Visualization of Information Flows and Exchanged Information: Evidence from an indoor fire game. 8 sider.
  • Vis forfatter(e) 2015. Reference Architecture for Emergency Management Operations. 5 sider.
  • Vis forfatter(e) 2015. On the Usability of Smartphone Apps in Emergencies. 10 sider.
  • Vis forfatter(e) 2015. Norwegian Emergency Management Process by Using Business Process Modeling Notation. 6 sider.
  • Vis forfatter(e) 2015. A Study on the Usage of Smartphone Apps in Fire Scenarios: Comparison between GDACSmobile and SmartRescue apps. 6 sider.
  • Vis forfatter(e) 2014. Big Data Metadata Management in Smart Grids. 26 sider.
  • Vis forfatter(e) 2015. Model-Based Data Integration for Emergency Management.

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