Open Science Research Excellence

ICWSBBDSHT 2020 : International Conference on Wearable Sensor Based Big Data for Smart Health Technologies

London, United Kingdom
December 10 - 11, 2020

Conference Code: 20UK12ICWSBBDSHT

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

ICWSBBDSHT 2020 has teamed up with the Special Journal Issue on Wearable Sensor Based Big Data for Smart Health Technologies. 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   May 28, 2020
Notification of Acceptance/Rejection   June 15, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   November 11, 2020
Conference Dates   December 10 - 11, 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) A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
Roman Graf, Sergiu Gordea, Heather M. Ryan
5) Developing Structured Sizing Systems for Manufacturing Ready-Made Garments of Indian Females Using Decision Tree-Based Data Mining
Hina Kausher, Sangita Srivastava
6) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
7) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
8) ELISA Based hTSH Assessment Using Two Sensitive and Specific Anti-hTSH Polyclonal Antibodies
Maysam Mard-Soltani, Mohamad Javad Rasaee, Saeed Khalili, Abdol Karim Sheikhi, Mehdi Hedayati
9) Identification of Disease Causing DNA Motifs in Human DNA Using Clustering Approach
G. Tamilpavai, C. Vishnuppriya
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) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics
Fabio Fabris, Alex A. Freitas
12) CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh
13) Application of Data Mining Techniques for Tourism Knowledge Discovery
Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
14) 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
15) Implementation of an IoT Sensor Data Collection and Analysis Library
Jihyun Song, Kyeongjoo Kim, Minsoo Lee

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