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ICDPR 2021: 15. International Conference on Data Processing for Robotics

时间：2021-01-28 至 2021-01-29

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ICDPR 2021: 15. International Conference on Data Processing for Robotics
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ICDPR 2021: 15. International Conference on Data Processing for Robotics
会议时间：2021-01-28 至 2021-01-29
会议地点： New York, United States,New York,United States 周边酒店预订

发票类型： 不支持开票
参会凭证：其它

门票信息
Participation Type Early Registration Fees Registration Fees
Non-Student Oral/Poster Presenter Registration € 450 € 500
Student Oral/Poster Presenter Registration € 350 € 400
Listener Registration € 250 € 300
Additional Paper Publication € 100
会议介绍

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.

ICDPR 2021: 15. International Conference on Data Processing for Robotics aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Data Processing for Robotics. 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 Data Processing for Robotics

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Data Processing for Robotics are cordially invited for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

ICDPR 2021 has teamed up with the Special Journal Issue on Data Processing for Robotics. 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.

Application Forms

Selected Papers

  1. Real-Time Episodic Memory Construction for Optimal Action Selection in Cognitive Robotics
    Deon de Jager, Yahya Zweiri, Dimitrios Makris
  2. Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
    Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
  3. Multi-Objective Optimal Design of a Cascade Control System for a Class of Underactuated Mechanical Systems
    Yuekun Chen, Yousef Sardahi, Salam Hajjar, Christopher Greer
  4. Robotic Assistance in Nursing Care: Survey on Challenges and Scenarios
    Pascal Gliesche, Kathrin Seibert, Christian Kowalski, Dominik Domhoff, Max Pfingsthorn, Karin Wolf-Ostermann, Andreas Hein
  5. AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
    Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
  6. Security in Resource Constraints Network Light Weight Encryption for Z-MAC
    Mona Almansoori, Ahmed Mustafa, Ahmad Elshamy
  7. Association Rules Mining and NOSQL Oriented Document in Big Data
    Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
  8. From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
    Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
  9. Using Textual Pre-Processing and Text Mining to Create Semantic Links
    Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
  10. Design and Motion Control of a Two-Wheel Inverted Pendulum Robot
    Shiuh-Jer Huang, Su-Shean Chen, Sheam-Chyun Lin
  11. A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
    Roman Graf, Sergiu Gordea, Heather M. Ryan
  12. The Importance of Development in Laboratory Diagnosis at the Intersection
    Agus Sahri, Cahya Putra Dinata, Faishal Andhi Rokhman
  13. Developing Structured Sizing Systems for Manufacturing Ready-Made Garments of Indian Females Using Decision Tree-Based Data Mining
    Hina Kausher, Sangita Srivastava
  14. Evaluation of Model-Based Code Generation for Embedded Systems–Mature Approach for Development in Evolution
    Nikolay P. Brayanov, Anna V. Stoynova
  15. Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
    Walid Cherif
Khaled Elbehiery DeVry University, US
Pouria Karimi Shahri University of North Carolina at Charlotte, US
Chung Hyun Goh University of Texas at Tyler, US
Senthil Kumar Kuppusamy KPIT Technologies Inc, USA, US
Arash Mahyari Florida Institute For Human and Machine Cognition, US
Marcos Paul Gerardo Castro Ford Greenfield Labs, US
Omid Saber Texas A&M University, US
Ayush Singhal University of Minnesota, Twin Cities, US
Kuldeep Rawat Elizabeth City State University, US
Mohammad Gudarzi University of Pittsburgh, US
Thuan Nguyen School of Management - University of Texas at Dallas, US
Shanshan Tuo xAd Inc, US
P. S. Jagadeesh Kumar Harvard University, Cambridge, United States, US
Mohammed Korayem CareerBuilder, LLC., US
Jaydip Desai Wichita State University, US
Sandeep Reddivari University of North Florida, US
Yu Zhang EMC Corporation, US
Chandra Prayaga University of West Florida, US
Apurva Mohan Honeywell Research Labs, US
Venkatesan Muthukumar University of Nevada Las Vegas, US
Shanbao Cheng Massachusetts Institute of Technology, US
Fan Wang Microsoft Corporation, US
Nasim Mirnateghi University of Southern California, US
Venkat Krishnan Iowa State University, US
Victor Sheng University of Central Arkansas, US
BIN SONG Oracle America, Inc, US
Kamran Iqbal University of Arkansas at Little Rock, US
Danda Rawat Old Dominion University, US
Suresh Kamath MetLife Inc, US
Ashish Chawla University of Texas at Arlington, US
会议日程
Abstracts/Full-Text Paper Submission Deadline   December 15, 2020
Notification of Acceptance/Rejection   December 30, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 26, 2020
Conference Dates   January 28-29, 2021
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