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ICCSIC 2021: 15. International Conference on Computer Science and Intelligent Control

时间:2021-04-08 至 2021-04-09

ICCSIC 2021: 15. International Conference on Computer Science and Intelligent Control
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ICCSIC 2021: 15. International Conference on Computer Science and Intelligent Control
会议时间:2021-04-08 至 2021-04-09
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

门票信息
Participation Type Early Registration Ticket Fees Registration Ticket Fees
Non-Student Oral/Poster Presenter Registration € 450 € 500
Student Oral/Poster Presenter Registration € 350 € 400
Listener Registration € 250 € 300
Additional Paper Publication € 100
会议介绍

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.

ICCSIC 2021: 15. International Conference on Computer Science and Intelligent Control aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Computer Science and Intelligent Control. 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 Computer Science and Intelligent Control

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Computer Science and Intelligent Control are cordially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

ICCSIC 2021 has teamed up with the Special Journal Issue on Computer Science and Intelligent Control. 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.

Selected Papers

  1. A Study on the Power Control of Wind Energy Conversion System
    Mehdi Nafar, Mohammad Reza Mansouri
  2. Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
    Chad Goldsworthy, B. Rajeswari Matam
  3. Feature Analysis of Predictive Maintenance Models
    Zhaoan Wang
  4. Thresholding Approach for Automatic Detection of Pseudomonas aeruginosa Biofilms from Fluorescence in situ Hybridization Images
    Zonglin Yang, Tatsuya Akiyama, Kerry S. Williamson, Michael J. Franklin, Thiruvarangan Ramaraj
  5. Performance Analysis of Traffic Classification with Machine Learning
    Htay Htay Yi, Zin May Aye
  6. Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point Clouds
    Hesheng Wang, Haoyu Wang, Chungang Zhuang
  7. Towards Real-Time Classification of Finger Movement Direction Using Encephalography Independent Components
    Mohamed Mounir Tellache, Hiroyuki Kambara, Yasuharu Koike, Makoto Miyakoshi, Natsue Yoshimura
  8. Penetration Analysis for Composites Applicable to Military Vehicle Armors, Aircraft Engines and Nuclear Power Plant Structures
    Dong Wook Lee
  9. A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing Attacks
    Lakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier
  10. Containment/Penetration Analysis for the Protection of Aircraft Engine External Configuration and Nuclear Power Plant Structures
    Dong Wook Lee, Adrian Mistreanu
  11. Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
    Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
  12. Computer Countenanced Diagnosis of Skin Nodule Detection and Histogram Augmentation: Extracting System for Skin Cancer
    S. Zith Dey Babu, S. Kour, S. Verma, C. Verma, V. Pathania, A. Agrawal, V. Chaudhary, A. Manoj Puthur, R. Goyal, A. Pal, T. Danti Dey, A. Kumar, K. Wadhwa, O. Ved
  13. An Application for Risk of Crime Prediction Using Machine Learning
    Luis Fonseca, Filipe Cabral Pinto, Susana Sargento
  14. Image Ranking to Assist Object Labeling for Training Detection Models
    Tonislav Ivanov, Oleksii Nedashkivskyi, Denis Babeshko, Vadim Pinskiy, Matthew Putman
  15. Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud Detection
    Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada
K. Sivakumar Krishnamoorthy Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, IN
Firas Al-Laban Qatar University, QA
Nasim Fallahi Polytechnic University of Turin, IT
Sajjad Ahmed University of Camerino, IT
Matteo Calabrese Accenture SpA, IT
Riccardo Martoglia University of Modena and Reggio Emilia, IT
Francesco Flammini Ansaldo STS, IT
Filippo Neri University of Naples, IT
Rocco Servidio University of Calabria, IT
Yashar Mehdad University of Trento, FBK - Irst, IT
Elia Stupka Consorzio Per Il Centro Di Biomedicina Molecolare S. C. A. R. L., IT
Giuseppina Gini Politecnico di Milano, IT
Ignazio Infantino Consiglio Nazionale delle Ricerche - CNR, IT
Corrado Mencar University of Bari, IT
Luigi Sarti National Research Council, IT
Pietro Hiram Guzzi Magna Graecia University, IT
Walaa Khalaf Università della Calabria, IT
Franco Frattolillo University of Sannio, IT
Bakht Said Bradford College, UK
Elhadj Benkhelifa Staffordshire University, UK
C. Suheyl Ozveren University of Abertay Dundee, UK
AMAR BOUSBAINE University of Derby, UK
Gurvinder Singh Baicher University of Wales, Newport, UK
Vishal Barot Loughborough University, UK
Hammadi Nait Charif Bournemouth University, UK
Chee Seng Chan University of Portsmouth, UK
Huseyin Seker De Montfort University, UK
Tariq Khan Brunel University, UK
Ayaz Keerio University of Sussex, UK
Abdullah Ajmal London South Bank University, UK
会议日程
Abstracts/Full-Text Paper Submission Deadline   March 01, 2021
Notification of Acceptance/Rejection   March 15, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   March 08, 2021
Conference Dates   April 08-09, 2021
参会指南
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