Open Science Research Excellence

ICDLTIF 2020 : International Conference on Deep Learning Technologies for Information Fusion

Tokyo, Japan
September 10 - 11, 2020

Conference Code: 20JP09ICDLTIF

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

ICDLTIF 2020 has teamed up with the Special Journal Issue on Deep Learning Technologies for Information Fusion. 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   June 15, 2020
Notification of Acceptance/Rejection   June 30, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   August 9, 2020
Conference Dates   September 10 - 11, 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) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
2) A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease Classification
Niousha Bagheri Khulenjani, Mohammad Saniee Abadeh
3) Automatic Number Plate Recognition System Based on Deep Learning
T. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi
4) Deep Learning Based Fall Detection Using Simplified Human Posture
Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif
5) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
6) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
7) Vision-Based Collision Avoidance for Unmanned Aerial Vehicles by Recurrent Neural Networks
Yao-Hong Tsai
8) Classification Based on Deep Neural Cellular Automata Model
Yasser F. Hassan
9) Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion
Adrià Arbués-Sangüesa, Coloma Ballester, Gloria Haro
10) The Layout Analysis of Handwriting Characters and the Fusion of Multi-style Ancient Books’ Background
Yaolin Tian, Shanxiong Chen, Fujia Zhao, Xiaoyu Lin, Hailing Xiong
11) Prediction on Housing Price Based on Deep Learning
Li Yu, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang
12) Crude Oil Price Prediction Using LSTM Networks
Varun Gupta, Ankit Pandey
13) An Intelligent Baby Care System Based on IoT and Deep Learning Techniques
Chinlun Lai, Lunjyh Jiang
14) Water End-Use Classification with Contemporaneous Water-Energy Data and Deep Learning Network
Khoi A. Nguyen, Rodney A. Stewart, Hong Zhang
15) Deep Learning for Renewable Power Forecasting: An Approach Using LSTM Neural Networks
Fazıl Gökgöz, Fahrettin Filiz

Similar conferences about Electrical and Information Engineering