Open Science Research Excellence

ICNNLN 2021 : International Conference on Neural Networks and Learning Networks

Singapore, SG
January 11 - 12, 2021

Conference Code: 21SG01ICNNLN

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

ICNNLN 2021 has teamed up with the Special Journal Issue on Neural Networks and Learning Networks. 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   November 3, 2020
Notification of Acceptance/Rejection   November 17, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 7, 2020
Conference Dates   January 11 - 12, 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) 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) Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
V. Veeraprathap, G. S. Harish, G. Narendra Kumar
3) Increasing Power Transfer Capacity of Distribution Networks Using Direct Current Feeders
Akim Borbuev, Francisco de León
4) 60 GHz Multi-Sector Antenna Array with Switchable Radiation-Beams for Small Cell 5G Networks
N. Ojaroudi Parchin, H. Jahanbakhsh Basherlou, Y. Al-Yasir, A. M. Abdulkhaleq, R. A. Abd-Alhameed, P. S. Excell
5) Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner
6) Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
Zhifeng Kong
7) Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks
Anne-Lena Kampen, Øivind Kure
8) Adaptive Envelope Protection Control for the below and above Rated Regions of Wind Turbines
Mustafa Sahin, İlkay Yavrucuk
9) Secure Socket Layer in the Network and Web Security
Roza Dastres, Mohsen Soori
10) Collaboration in Palliative Care Networks in Urban and Rural Regions of Switzerland
R. Schweighoffer, N. Nagy, E. Reeves, B. Liebig
11) An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
12) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
13) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
14) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification
Abdelhadi Lotfi, Abdelkader Benyettou
15) Natural Emergence of a Core Structure in Networks via Clique Percolation
A. Melka, N. Slater, A. Mualem, Y. Louzoun

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