The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
ICWSBDSHA 2021: 15. International Conference on Wearable Sensor Based Big Data for Smart Health Applications
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Wearable Sensor Based Big Data for Smart Health Applications.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Wearable Sensor Based Big Data for Smart Health Applications
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Wearable Sensor Based Big Data for Smart Health Applications are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
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 Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
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
ICWSBDSHA 2021 has teamed up with the Special Journal Issue on
Wearable Sensor Based Big Data for Smart Health Applications.
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.
Selected Papers
-
Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes
Ilona Mewes, Helena Jenzer, Farshideh Einsele
-
Integration of Educational Data Mining Models to a Web-Based Support System for Predicting High School Student Performance
Sokkhey Phauk, Takeo Okazaki
-
Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud Detection
Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada
-
Attribute Analysis of Quick Response Code Payment Users Using Discriminant Non-negative Matrix Factorization
Hironori Karachi, Haruka Yamashita
-
Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
-
Spatial Data Science for Data Driven Urban Planning: The Youth Economic Discomfort Index for Rome
Iacopo Testi, Diego Pajarito, Nicoletta Roberto, Carmen Greco
-
AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
-
Transcriptomics Analysis on Comparing Non-Small Cell Lung Cancer versus Normal Lung, and Early Stage Compared versus Late-Stages of Non-Small Cell Lung Cancer
Achitphol Chookaew, Paramee Thongsukhsai, Patamarerk Engsontia, Narongwit Nakwan, Pritsana Raugrut
-
Association Rules Mining and NOSQL Oriented Document in Big Data
Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
-
From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
-
Using Textual Pre-Processing and Text Mining to Create Semantic Links
Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
-
A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
Roman Graf, Sergiu Gordea, Heather M. Ryan
-
Developing Structured Sizing Systems for Manufacturing Ready-Made Garments of Indian Females Using Decision Tree-Based Data Mining
Hina Kausher, Sangita Srivastava
-
Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
-
An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
Digital Program consists of the e-proceedings book which is available online-only
and includes the conference communications (proceedings abstracts and papers).
Registered participants can access the digitally available conference
proceedings ( and certificates ) by visiting their profile pages.
Store and retrieve ever growing dataset from wearable sensors
New approach to tackle large-scale bioinformatics classification problems
Feature dimensionality reduction for high dimensional biomedical data
Cloud computing and mobile database management for wearable sensor based big data
Machine learning frameworks designed for biomedical big data mining
Predictive models gaining valuable knowledge from wearable sensor based big data
Large stream data mining techniques on users’ historical biomedical data
Biomedical big data privacy preservation in IoT environment
Machine learning, with emphasis on deep learning, for health and biomedical applications
Novel applications and case studies for smart health based on group wearable sensors
| Abstracts/Full-Text Paper Submission Deadline |
|
April 29, 2021 |
| Notification of Acceptance/Rejection |
|
May 13, 2021 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
May 25, 2021 |
| Conference Dates |
|
June 24-25, 2021 |
| K. Sivakumar Krishnamoorthy |
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, IN |
| Simon Tamayo Giraldo |
Mines ParisTech, FR |
| Nebras Gharbi |
Artois University, FR |
| Sidahmed Benabderrahmane |
INRIA - French Institute for Research in Computer Science and Automation, FR |
| Mohammed Rezaul Karim |
Guildhall College, UK |
| Huseyin Seker |
De Montfort University, UK |
| Rushit Dave |
University Of Wisconsin, Eau Claire, US |
| Cuncong Zhong |
The University of Kansas, US |
| Akansha Kumar |
Texas A&M University, US |
| Himanshu Joshi |
Icahn School of Medicine at Mount Sinai, US |
| Sergio Davalos |
University of Washington Tacoma, US |
| Ayush Singhal |
University of Minnesota, Twin Cities, US |
| Wen Zhang |
Icahn school of medicine at Mount Sinai, US |
| Thuan Nguyen |
School of Management - University of Texas at Dallas, US |
| Shanshan Tuo |
xAd Inc, US |
| Mohammed Korayem |
CareerBuilder, LLC., US |
| Sandeep Reddivari |
University of North Florida, US |
| Yingqin Luo |
Albert Einstein College of Medicine, US |
| Yu Zhang |
EMC Corporation, US |
| Wei Tao |
TSI Biocomputing LLC, US |
| zheng ping |
University of Alabama at Birmingham, US |
| Kal Ramnarayan |
Sapient Discovery, US |
| Gabriela Alexe |
Dana-Farber Cancer Institute/Harvard Medical School, US |
| Chinnappa Kodira |
GE Global Research Center, US |
| Gwo-Yu Chuang |
National Institutes of Health, US |
| Fan Wang |
Microsoft Corporation, US |
| Venkat Krishnan |
Iowa State University, US |
| Marc Gillespie |
St. John's University, US |
| Victor Sheng |
University of Central Arkansas, US |
| BIN SONG |
Oracle America, Inc, US |
| Participation Type |
Early Registration Ticket Fees |
Registration Ticket Fees |
| Non-Student Oral/Poster Presenter Registration |
€ 450 |
€ 500 |
| Student Oral/Poster Presenter Registration |
€ 350 |
€ 400 |
| Listener Registration |
€ 250 |
€ 300 |
| Additional Paper Publication |
€ 100 |
All conference materials and services will be delivered digitally to the participant with the online conference management system.
Conference registration includes the following digital materials and services:
- e-certificates [for Authors: Certificate of Attendance and Presentation; for Listeners: Certificate of Attendance; for Chairs: Certificate of Attendance and Appreciation; for Presenters: Certificate of Best Presentation (if conferred based appraisal)]
- e-program
- e-book
- e-name badge
- e-receipt
- e-presentation
Presentation Types:
-
Physical presentation is an oral conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
-
Digital presentation is a digital conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
Early Bird Registration
Early Bird registration is valid until 2021-05-25 23:59:59
Online Credit Card Processing
Online payment option available for author
and listener delegates.
Conference participants can make online credit card payments for conference registration fees.
