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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Deep Learning Techniques for Information Fusion are cordially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 |
|
March 16, 2021 |
| Notification of Acceptance/Rejection |
|
April 1, 2021 |
| 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) Improved Rare Species Identification Using Focal Loss Based Deep Learning ModelsChad Goldsworthy, B. Rajeswari Matam 2) Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point CloudsHesheng Wang, Haoyu Wang, Chungang Zhuang 3) Facial Emotion Recognition with Convolutional Neural Network Based ArchitectureKoray U. Erbas 4) Bayesian Deep Learning Algorithms for Classifying COVID-19 ImagesI. Oloyede 5) A Context-Centric Chatbot for Cryptocurrency Using the Bidirectional Encoder Representations from Transformers Neural NetworksQitao Xie, Qingquan Zhang, Xiaofei Zhang, Di Tian, Ruixuan Wen, Ting Zhu, Ping Yi, Xin Li 6) Image Ranking to Assist Object Labeling for Training Detection ModelsTonislav Ivanov, Oleksii Nedashkivskyi, Denis Babeshko, Vadim Pinskiy, Matthew Putman 7) Malaria Parasite Detection Using Deep Learning MethodsKaustubh Chakradeo, Michael Delves, Sofya Titarenko 8) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ CommentsTahani Aljohani, Jialin Yu, Alexandra. I. Cristea 9) A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease ClassificationNiousha Bagheri Khulenjani, Mohammad Saniee Abadeh 10) Automatic Number Plate Recognition System Based on Deep LearningT. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi 11) A Survey of Sentiment Analysis Based on Deep LearningPingping Lin, Xudong Luo, Yifan Fan 12) Deep Learning Application for Object Image Recognition and Robot Automatic GraspingShiuh-Jer Huang, Chen-Zon Yan, C. K. Huang, Chun-Chien Ting 13) A Survey of Response Generation of Dialogue SystemsYifan Fan, Xudong Luo, Pingping Lin 14) NANCY: Combining Adversarial Networks with Cycle-Consistency for Robust Multi-Modal Image RegistrationMirjana Ruppel, Rajendra Persad, Amit Bahl, Sanja Dogramadzi, Chris Melhuish, Lyndon Smith 15) A Deep-Learning Based Prediction of Pancreatic Adenocarcinoma with Electronic Health Records from the State of MaineXiaodong Li, Peng Gao, Chao-Jung Huang, Shiying Hao, Xuefeng B. Ling,Yongxia Han, Yaqi Zhang, Le Zheng, Chengyin Ye, Modi Liu, Minjie Xia, Changlin Fu, Bo Jin, Karl G. Sylvester, Eric Widen
Similar conferences about
Electrical and Information Engineering
