Open Science Research Excellence

ICBDVPR 2021 : International Conference on Big Data in Veterinary Practice and Research

Prague, Czechia
March 22 - 23, 2021

Conference Code: 21CZ03ICBDVPR

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

ICBDVPR 2021 has teamed up with the Special Journal Issue on Big Data in Veterinary Practice and Research. 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 15, 2021
Notification of Acceptance/Rejection   March 1, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   February 21, 2021
Conference Dates   March 22 - 23, 2021

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) 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
2) Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles
Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis
3) Reduction of Energy Consumption Using Smart Home Techniques in the Household Sector
Ahmed Al-Adaileh, Souheil Khaddaj
4) Association Rules Mining and NOSQL Oriented Document in Big Data
Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
5) Microclimate Variations in Rio de Janeiro Related to Massive Public Transportation
Marco E. O. Jardim, Frederico A. M. Souza, Valeria M. Bastos, Myrian C. A. Costa, Nelson F. F. Ebecken
6) Predictive Analysis for Big Data: Extension of Classification and Regression Trees Algorithm
Ameur Abdelkader, Abed Bouarfa Hafida
7) Automatic Adjustment of Thresholds via Closed-Loop Feedback Mechanism for Solder Paste Inspection
Chia-Chen Wei, Pack Hsieh, Jeffrey Chen
8) Real-Time Data Stream Partitioning over a Sliding Window in Real-Time Spatial Big Data
Sana Hamdi, Emna Bouazizi, Sami Faiz
9) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
Jaya Mathew
10) Integration of Big Data to Predict Transportation for Smart Cities
Sun-Young Jang, Sung-Ah Kim, Dongyoun Shin
11) Urban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based Data
Sun-Young Jang, Sung-Ah Kim, Dongyoun Shin
12) Intellectual Property Rights and Health Rights: A Feasible Reform Proposal to Facilitate Access to Drugs in Developing Countries
M. G. Cattaneo
13) Forthcoming Big Data on Smart Buildings and Cities: An Experimental Study on Correlations among Urban Data
Yu-Mi Song, Sung-Ah Kim, Dongyoun Shin
14) Exploring Influence Range of Tainan City Using Electronic Toll Collection Big Data
Chen Chou, Feng-Tyan Lin
15) Exploring the Activity Fabric of an Intelligent Environment with Hierarchical Hidden Markov Theory
Chiung-Hui Chen

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