Open Science Research Excellence

ICTCFT 2022 : International Conference on Technical Cybernetics and Future Technologies

London, United Kingdom
October 21 - 22, 2022

Conference Code: 22UK10ICTCFT

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

ICTCFT 2022 has teamed up with the Special Journal Issue on Technical Cybernetics and Future Technologies. 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   March 31, 2020
Notification of Acceptance/Rejection   April 15, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   June 23, 2022
Conference Dates   October 21 - 22, 2022

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) Dental Students’ Attitude towards Problem-Based Learning before and after Implementing 3D Electronic Dental Models
Hai Ming Wong, Kuen Wai Ma, Lavender Yu Xin Yang, Yanqi Yang
2) Predicting the Success of Bank Telemarketing Using Artificial Neural Network
Mokrane Selma
3) Improving Fake News Detection Using K-means and Support Vector Machine Approaches
Kasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy
4) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
5) Speaker Recognition Using LIRA Neural Networks
Nestor A. Garcia Fragoso, Tetyana Baydyk, Ernst Kussul
6) Collaborative Reflexive/Reflective Teaching and Action Research in TESL
O. F. Elkommos
7) Training Undergraduate Engineering Students in Robotics and Automation through Model-Based Design Training: A Case Study at Assumption University of Thailand
Sajed A. Habib
8) Learning Programming for Hearing Impaired Students via an Avatar
Nihal Esam Abuzinadah, Areej Abbas Malibari, Arwa Abdulaziz Allinjawi, Paul Krause
9) A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease Classification
Niousha Bagheri Khulenjani, Mohammad Saniee Abadeh
10) Investigation of Learning Challenges in Building Measurement Unit
Argaw T. Gurmu, Muhammad N. Mahmood
11) Building a Transformative Continuing Professional Development Experience for Educators through a Principle-Based, Technological-Driven Knowledge Building Approach: A Case Study of a Professional Learning Team in Secondary Education
Melvin Chan, Chew Lee Teo
12) A Neuroscience-Based Learning Technique: Framework and Application to STEM
Dante J. Dorantes-González, Aldrin Balsa-Yepes
13) Project Management at University: Towards an Evaluation Process around Cooperative Learning
J. L. Andrade-Pineda, J.M. León-Blanco, M. Calle, P. L. González-R
14) 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
15) Deep Learning Based Fall Detection Using Simplified Human Posture
Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif

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