Open Science Research Excellence

ICNTNE 2020 : International Conference on New Technology in Nursing Education

London, United Kingdom
June 29 - 30, 2020

Conference Code: 20UK06ICNTNE

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICNTNE 2020 has teamed up with the Special Journal Issue on New Technology in Nursing Education. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   February 27, 2020
Notification of Acceptance/Rejection   March 12, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   May 27, 2020
Conference Dates   June 29 - 30, 2020

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
2) Using Textual Pre-Processing and Text Mining to Create Semantic Links
Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
3) From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
4) Clique and Clan Analysis of Patient-Sharing Physician Collaborations
Shahadat Uddin, Md Ekramul Hossain, Arif Khan
5) Factors Influencing Intention to Engage in Long-term Care Services among Nursing Aide Trainees and the General Public
Ju-Chun Chien
6) A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
Roman Graf, Sergiu Gordea, Heather M. Ryan
7) Developing Structured Sizing Systems for Manufacturing Ready-Made Garments of Indian Females Using Decision Tree-Based Data Mining
Hina Kausher, Sangita Srivastava
8) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
9) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
10) Road Traffic Accidents Analysis in Mexico City through Crowdsourcing Data and Data Mining Techniques
Gabriela V. Angeles Perez, Jose Castillejos Lopez, Araceli L. Reyes Cabello, Emilio Bravo Grajales, Adriana Perez Espinosa, Jose L. Quiroz Fabian
11) An Alternative and Complementary Medicine Method in Vulnerable Pediatric Cancer Patients: Yoga
Ç. Erdoğan, T. Turan
12) CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh
13) Evidence Based Practice for Oral Care in Children
T. Turan, Ç. Erdoğan
14) Application of Data Mining Techniques for Tourism Knowledge Discovery
Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
15) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning Method
Dalin Si, Azizan Aziz, Bertrand Lasternas

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