ICAIAMDP 2021: 15. International Conference on Artificial Intelligence Applications for Machine Diagnostics and Prognostics
- 会议时间：2021-09-16 至 2021-09-17
- 会议地点： Rome, Italy,Rome,Italy 周边酒店预订
发票类型：
不支持开票
参会凭证：其它
| Participation Type | Early Registration Fees | Registration Fees |
|---|---|---|
| Non-Student Oral/Poster Presenter Registration | € 450 | € 500 |
| Student Oral/Poster Presenter Registration | € 350 | € 400 |
| Listener Registration | € 250 | € 300 |
| Additional Paper Publication | € 100 | |
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. With its high quality, it provides an exceptional value for students, academics and industry researchers.
ICAIAMDP 2021: 15. International Conference on Artificial Intelligence Applications for Machine Diagnostics and Prognostics aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence Applications for Machine Diagnostics and Prognostics. 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 Artificial Intelligence Applications for Machine Diagnostics and Prognostics
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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Artificial Intelligence Applications for Machine Diagnostics and Prognostics 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.
Guidelines for Authors
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 Guideline, Abstract Submission Guideline and Author Information before submitting your paper.
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
ICAIAMDP 2021 has teamed up with the Special Journal Issue on Artificial Intelligence Applications for Machine Diagnostics and Prognostics. 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.
Application Forms
Selected Papers
- Predicting the Success of Bank Telemarketing Using Artificial Neural Network
Mokrane Selma - Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea - A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease Classification
Niousha Bagheri Khulenjani, Mohammad Saniee Abadeh - Development of Sports Nation on the Way of Health Management
Beatrix Faragó, Zsolt Szakály, Ágnes Kovácsné Tóth, Csaba Konczos, Norbert Kovács, Zsófia Pápai, Tamás Kertész - Automatic Number Plate Recognition System Based on Deep Learning
T. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi - Vision-Based Daily Routine Recognition for Healthcare with Transfer Learning
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan - Deep Learning Application for Object Image Recognition and Robot Automatic Grasping
Shiuh-Jer Huang, Chen-Zon Yan, C. K. Huang, Chun-Chien Ting - NANCY: Combining Adversarial Networks with Cycle-Consistency for Robust Multi-Modal Image Registration
Mirjana Ruppel, Rajendra Persad, Amit Bahl, Sanja Dogramadzi, Chris Melhuish, Lyndon Smith - Artificial Intelligence-Based Chest X-Ray Test of COVID-19 Patients
Dhurgham Al-Karawi, Nisreen Polus, Shakir Al-Zaidi, Sabah Jassim - Deep Learning Based, End-to-End Metaphor Detection in Greek with Recurrent and Convolutional Neural Networks
Konstantinos Perifanos, Eirini Florou, Dionysis Goutsos - A Deep-Learning Based Prediction of Pancreatic Adenocarcinoma with Electronic Health Records from the State of Maine
Xiaodong 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 - A Survey of Sentiment Analysis Based on Deep Learning
Pingping Lin, Xudong Luo, Yifan Fan - SNR Classification Using Multiple CNNs
Thinh Ngo, Paul Rad, Brian Kelley - Churn Prediction for Telecommunication Industry Using Artificial Neural Networks
Ulas Vural, M. Ergun Okay, E. Mesut Yildiz - Personal Information Classification Based on Deep Learning in Automatic Form Filling System
Shunzuo Wu, Xudong Luo, Yuanxiu Liao
| Matteo Calabrese | Accenture SpA, IT |
| Filippo Neri | University of Naples, IT |
| Yashar Mehdad | University of Trento, FBK - Irst, IT |
| Giuseppina Gini | Politecnico di Milano, IT |
| Ignazio Infantino | Consiglio Nazionale delle Ricerche - CNR, IT |
| Elhadj Benkhelifa | Staffordshire University, UK |
| C. Suheyl Ozveren | University of Abertay Dundee, UK |
| Vishal Barot | Loughborough University, UK |
| Djamila Ouelhadj | University of Nottingham, UK |
| Akilesh Rajavenkatanarayanan | The University of Texas at Arlington, US |
| Arash Mahyari | Florida Institute For Human and Machine Cognition, US |
| Wei Zhang | University of Virginia, US |
| Faezehossadat Khademi | Illinois Institute of Technology, US |
| Edward John Holupka | Harvard University, US |
| Ayush Singhal | University of Minnesota, Twin Cities, US |
| Naga Usha Gayathri Lokala | Wright State University, US |
| Fan Wang | Microsoft Corporation, US |
| MD Anwarul Hasan | Harvard University, US |
| Kamran Iqbal | University of Arkansas at Little Rock, US |
| Guoxiang Liu | University of North Dakota, US |
| Suresh Kamath | MetLife Inc, US |
| Victor Mucino | West Virginia University, US |
| Ashish Chawla | University of Texas at Arlington, US |
| Henry Hexmoor | Southern Illinois University, US |
| Konstantinos Domdouzis | University of Illinois at Urbana - Champaign, US |
| Mandhapati Raju | General Motors, US |
| Waleed Zaghloul | Health Language Inc., US |
| Adel El Shahat | Ohio State University, US |
| Ryo Amano | University of Wisconsin, US |
| Huanjing Wang | Western Kentucky University, US |
| Abstracts/Full-Text Paper Submission Deadline | January 06, 2020 | |
| Notification of Acceptance/Rejection | January 28, 2020 | |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline | May 17, 2021 | |
| Conference Dates | September 16-17, 2021 |
