Open Science Research Excellence

ICCSP 2020 : International Conference on Cognitive Science and Psychology

London, United Kingdom
August 20 - 21, 2020

Conference Code: 20UK08ICCSP

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

ICCSP 2020 has teamed up with the Special Journal Issue on Cognitive Science and Psychology. 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   July 14, 2020
Notification of Acceptance/Rejection   July 27, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   July 21, 2020
Conference Dates   August 20 - 21, 2020

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) Predicting the Success of Bank Telemarketing Using Artificial Neural Network
Mokrane Selma
2) Speaker Recognition Using LIRA Neural Networks
Nestor A. Garcia Fragoso, Tetyana Baydyk, Ernst Kussul
3) Automatic Number Plate Recognition System Based on Deep Learning
T. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi
4) An iTunes U App for Development of Metacognition Skills Delivered in the Enrichment Program Offered to Gifted Students at the Secondary Level
Maha Awad M. Almuttairi
5) Logistic Model Tree and Expectation-Maximization for Pollen Recognition and Grouping
Endrick Barnacin, Jean-Luc Henry, Jack Molinié, Jimmy Nagau, Hélène Delatte, Gérard Lebreton
6) Two Concurrent Convolution Neural Networks TC*CNN Model for Face Recognition Using Edge
T. Alghamdi, G. Alaghband
7) Vision-Based Daily Routine Recognition for Healthcare with Transfer Learning
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
8) Classifying Turbomachinery Blade Mode Shapes Using Artificial Neural Networks
Ismail Abubakar, Hamid Mehrabi, Reg Morton
9) GRCNN: Graph Recognition Convolutional Neural Network for Synthesizing Programs from Flow Charts
Lin Cheng, Zijiang Yang
10) An Exploratory Survey Questionnaire to Understand What Emotions Are Important and Difficult to Communicate for People with Dysarthria and Their Methodology of Communicating
Lubna Alhinti, Heidi Christensen, Stuart Cunningham
11) Gaze Patterns of Skilled and Unskilled Sight Readers Focusing on the Cognitive Processes Involved in Reading Key and Time Signatures
J. F. Viljoen, Catherine Foxcroft
12) Algorithm for Path Recognition in-between Tree Rows for Agricultural Wheeled-Mobile Robots
Anderson Rocha, Pedro Miguel de Figueiredo Dinis Oliveira Gaspar
13) 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
14) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
15) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia

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