Conference Code: 22CZ09ICDLTIF
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.
ICDLTIF 2022: International Conference on Deep Learning Techniques for Information Fusion aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Deep Learning Techniques for Information Fusion. 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 Deep Learning Techniques for Information Fusion.
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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Deep Learning Techniques for Information Fusion are cordially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.
WASET
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 2022 has teamed up with the Special Journal Issue on
Deep Learning Techniques 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 |
|
April 15, 2020 |
| Notification of Acceptance/Rejection |
|
April 30, 2020 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
June 5, 2022 |
| Conference Dates |
|
September 6 - 7, 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) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ CommentsTahani Aljohani, Jialin Yu, Alexandra. I. Cristea 2) A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease ClassificationNiousha Bagheri Khulenjani, Mohammad Saniee Abadeh 3) Automatic Number Plate Recognition System Based on Deep LearningT. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi 4) Deep Learning Based Fall Detection Using Simplified Human PostureKripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif 5) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud EnvironmentShuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang 6) Vision-Based Collision Avoidance for Unmanned Aerial Vehicles by Recurrent Neural NetworksYao-Hong Tsai 7) Foot Recognition Using Deep Learning for Knee RehabilitationRakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia 8) Classification Based on Deep Neural Cellular Automata ModelYasser F. Hassan 9) Single-Camera Basketball Tracker through Pose and Semantic Feature FusionAdrià Arbués-Sangüesa, Coloma Ballester, Gloria Haro 10) The Layout Analysis of Handwriting Characters and the Fusion of Multi-style Ancient Books’ BackgroundYaolin Tian, Shanxiong Chen, Fujia Zhao, Xiaoyu Lin, Hailing Xiong 11) Prediction on Housing Price Based on Deep LearningLi Yu, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang 12) Crude Oil Price Prediction Using LSTM NetworksVarun Gupta, Ankit Pandey 13) An Intelligent Baby Care System Based on IoT and Deep Learning TechniquesChinlun Lai, Lunjyh Jiang 14) Water End-Use Classification with Contemporaneous Water-Energy Data and Deep Learning NetworkKhoi A. Nguyen, Rodney A. Stewart, Hong Zhang 15) Deep Learning for Renewable Power Forecasting: An Approach Using LSTM Neural NetworksFazıl Gökgöz, Fahrettin Filiz
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