2019 Information Technology Research Symposium

User Collection Public

11 items

Created by: School of Information Technology

Last Updated: 2020-05-15

The School of Information Technology (SoIT) at the University of Cincinnati hosts the Information Technology Research Symposium on an annual basis as a forum for the exchange and dissemination of research ideas through the IT EXPO. The 2019 symposium was held on April 11, 2019 and this collection features the digital proceedings of presentations. The primary purpose of the symposium is to exchange research ideas among graduate students, faculty, industry, and practitioners involved in IT research in our field. IT research topics may range from state-of-the-art system development to recent progress in scientific endeavors that are theoretical or applied areas of Information Technology, such as advanced storage technologies, computer-mediated communication, cloud computing, cybersecurity, data analytics, Internet of Things (IoT), IT infrastructure, mobile security, interactive gaming, technologies for smart and connected cities, and user-centered design.

Collection Details

Total travaux: 11
Taille: 0 Bytes
Créateur: School of Information Technology

Fonctionne dans cette collection (11)

Titre	Date Ajoutée	Visibilité
Enhancing Physical and Cyber Security of Smart Homes using Co-Monitoring of IoT Devices Fait partie de: 2019 Information Technology Research Symposium	2020-05-15	Public
Integrating NIST Framework into FAIR model for Quantitative Risk Assessment of Cyber Threats Fait partie de: 2019 Information Technology Research Symposium	2020-05-15	Public
Finding Actionable Information on Social Media Fait partie de: 2019 Information Technology Research Symposium	2020-05-15	Public
PREDICTION AND DETECTION OF DEPRESSION USING FOREST TREE ALGORITHM Fait partie de: 2019 Information Technology Research Symposium	2020-05-15	Public
A LOOK AT EDGELESS HYBRID-CLOUD INFRASTRUCTURE – AN OPTIMIZED SOLUTION FOR MULTI-SITE BACKUP, DISASTER RECOVERY AND HIGH AVAILABILITY Fait partie de: 2019 Information Technology Research Symposium	2020-05-15	Public
Predicting Future Shooting Crime Locations Using Principles of Data Analytics (SHOPS) Fait partie de: 2019 Information Technology Research Symposium	2020-05-15	Public
Minimal Criteria: Minimizing User Input and User Interface for Faster Output in Minimalistic Mobile Applications Fait partie de: 2019 Information Technology Research Symposium	2020-05-15	Public
Kinesthetic Learning Potential in Mixed Reality Fait partie de: 2019 Information Technology Research Symposium	2020-05-15	Public
OPTIMIZING PATIENT-CENTERED MOBILE APPLICATIONS USING DATA MINING TECHNIQUES Fait partie de: 2019 Information Technology Research Symposium	2020-05-15	Public
Tilt Brush: The Utilization of a Virtual Reality Intervention for Evaluating Self-Reported Anxiety, Depression, & Stress Fait partie de: 2019 Information Technology Research Symposium	2020-05-15	Public

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