您好，欢迎登录Mr.confs会先生官方网站！
订单查询 | 主办方管理 | 联系我们 | 网站地图
免费发布

ICNNDL 2021: 15. International Conference on Neural Networks and Deep Learning

时间：2021-04-29 至 2021-04-30

立即报名
ICNNDL 2021: 15. International Conference on Neural Networks and Deep Learning
收藏0人
ICNNDL 2021: 15. International Conference on Neural Networks and Deep Learning
会议时间：2021-04-29 至 2021-04-30
会议地点： Jerusalem, Israel,Istanbul,Turkey 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 Ticket Fees Registration Ticket Fees
Non-Student Oral/Poster Presenter Registration € 350 € 400
Student Oral/Poster Presenter Registration € 300 € 350
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.

ICNNDL 2021: 15. International Conference on Neural Networks and Deep Learning aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Neural Networks and Deep Learning. 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 Neural Networks and Deep Learning

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Neural Networks and Deep Learning are cordially invited for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

ICNNDL 2021 has teamed up with the Special Journal Issue on Neural Networks and Deep Learning. 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. Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
    Chad Goldsworthy, B. Rajeswari Matam
  2. Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
    Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
  3. Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
    Hira Lal Gope, Hidekazu Fukai
  4. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  5. Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
    V. Veeraprathap, G. S. Harish, G. Narendra Kumar
  6. Classifying Turbomachinery Blade Mode Shapes Using Artificial Neural Networks
    Ismail Abubakar, Hamid Mehrabi, Reg Morton
  7. Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
    Zhifeng Kong
  8. Adaptive Envelope Protection Control for the below and above Rated Regions of Wind Turbines
    Mustafa Sahin, İlkay Yavrucuk
  9. On Dialogue Systems Based on Deep Learning
    Yifan Fan, Xudong Luo, Pingping Lin
  10. Churn Prediction for Telecommunication Industry Using Artificial Neural Networks
    Ulas Vural, M. Ergun Okay, E. Mesut Yildiz
  11. A Survey of Field Programmable Gate Array-Based Convolutional Neural Network Accelerators
    Wei Zhang
  12. The Application of a Neural Network in the Reworking of Accu-Chek to Wrist Bands to Monitor Blood Glucose in the Human Body
    J. K Adedeji, O. H Olowomofe, C. O Alo, S.T Ijatuyi
  13. Foot Recognition Using Deep Learning for Knee Rehabilitation
    Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
  14. An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
    Wullapa Wongsinlatam
  15. Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
    Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
Hammadi Nait Charif Bournemouth University, UK
Mohammed Rezaul Karim Guildhall College, UK
Mahdi Imani George Washington University, US
Arash Mahyari Florida Institute For Human and Machine Cognition, US
Naga Usha Gayathri Lokala Wright State University, US
Srikanth Gururajan West Virginia University, US
Ali M. Reza US Coast Guard Academy, US
Mengyu Qiao New Mexico Institute of Mining and Technology, US
Jung Hun Oh Washington University in St. Louis, US
Kevin (Jiancheng) Jia International Game Technology, US
Adel El Shahat Ohio State University, US
Jacqueline Fairley Emory University, US
Huanjing Wang Western Kentucky University, US
Hongjun Jia The Ohio State University, US
Yanhui Guo Utah State University, US
Hossein Tahani New Mexico Highlands University, US
Sridhar Seshagiri San Diego State University, US
Feng Niu Automated Precision Inc., US
Ruchi Sandilya Tata Institute of Fundamental Research, IN
Sathish Kumar Marappan Paavai Engineering College, IN
Khaled Nagaty The British University in Egypt, EG
A. Kousar Nikhath Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, IN
Frederic Jumelle Bright Nation Limited, HK
K. P. Sanal Kumar Rajeswari Vedachalam Government Arts College, IN
Ali El-Zaart Beirut Arab University, LB
Saman Maroufpoor University of Tehran, IR
Pham Van Nha Academy of Military Science and Technology, VN
Falah Alsaqre Al-Hikma University, IQ
Caroline König Universitat Politécnica de Catalunya, ES
Hosam Elhegazy Future University in Egypt, EG
会议日程
Abstracts/Full-Text Paper Submission Deadline   March 16, 2021
Notification of Acceptance/Rejection   April 01, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   March 29, 2021
Conference Dates   April 29-30, 2021
参会指南
会议地点
推荐会议
同专业会议
同城会议
×