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ICCMN 2021: 15. International Conference on Computational and Mathematical Neuroscience

时间：2021-01-14 至 2021-01-15

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ICCMN 2021: 15. International Conference on Computational and Mathematical Neuroscience
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ICCMN 2021: 15. International Conference on Computational and Mathematical Neuroscience
会议时间：2021-01-14 至 2021-01-15
会议地点： Zurich, Switzerland,Zurich,Switzerland 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.

ICCMN 2021: 15. International Conference on Computational and Mathematical Neuroscience aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Computational and Mathematical Neuroscience. 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 Computational and Mathematical Neuroscience

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Computational and Mathematical Neuroscience are cordially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

ICCMN 2021 has teamed up with the Special Journal Issue on Computational and Mathematical Neuroscience. 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. Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
    Hira Lal Gope, Hidekazu Fukai
  2. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  3. Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
    V. Veeraprathap, G. S. Harish, G. Narendra Kumar
  4. Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
    Zhifeng Kong
  5. Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race
    Joonas Pääkkönen
  6. A Case Study on the Numerical-Probability Approach for Deep Excavation Analysis
    Komeil Valipourian
  7. Adaptive Envelope Protection Control for the below and above Rated Regions of Wind Turbines
    Mustafa Sahin, İlkay Yavrucuk
  8. Einstein’s General Equation of the Gravitational Field
    A. Benzian
  9. Churn Prediction for Telecommunication Industry Using Artificial Neural Networks
    Ulas Vural, M. Ergun Okay, E. Mesut Yildiz
  10. A Survey of Field Programmable Gate Array-Based Convolutional Neural Network Accelerators
    Wei Zhang
  11. An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
    Wullapa Wongsinlatam
  12. Seismic Behavior of Suction Caisson Foundations
    Mohsen Saleh Asheghabadi, Alireza Jafari Jebeli
  13. Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
    Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
  14. Foot Recognition Using Deep Learning for Knee Rehabilitation
    Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
  15. Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification
    Abdelhadi Lotfi, Abdelkader Benyettou
Hammadi Nait Charif Bournemouth University, UK
Himanshu Joshi Icahn School of Medicine at Mount Sinai, US
Zachary Collier University of Delaware, US
Jia Wan Randolph College, US
Mahdi Imani George Washington University, US
Vinodh Kumar Chellamuthu Dixie State University, US
Subhrangshu Nandi University of Wisconsin–Madison, US
Shari Messinger University of Miami, US
Naga Usha Gayathri Lokala Wright State University, US
Lina Wu Borough of Manhattan Community College, The City University of New York, US
Erin Hodgess University of Houston-Downtown, US
Matthew Zagumny Tennessee Technological University, US
Hamid Torabi Washington State University, US
Srikanth Gururajan West Virginia University, US
Yu Zeng Duke University, US
Arjun Gupta Bowling Green State University, US
Katerina Tsakiri NOVA Southeastern University, US
Dana Anderson University of Colorado at Boulder, US
Anilkumar Devarapu Albany State University, US
Gang Qi University of Memphis, US
Broderick Oluyede Georgia Southern University, US
Danda Rawat Old Dominion University, US
K Ranee Thiagarajah Illinois State University, US
Yong Won Cho University of Southern California, US
Ashish Chawla University of Texas at Arlington, US
Lei Yang Iowa State University, US
Hector Velasco Morgan State University School of Community Health and Policy, US
Kevin (Jiancheng) Jia International Game Technology, US
Zhaofei Fan Mississippi State University, US
Adel El Shahat Ohio State University, US
会议日程
Abstracts/Full-Text Paper Submission Deadline   December 01, 2020
Notification of Acceptance/Rejection   December 15, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 14, 2020
Conference Dates   January 14-15, 2021
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