ICCLSNA 2022: 16. International Conference on Computational Learning and Sensor Networking in Aerospace

March 08-09, 2022 in Bangkok, Thailand

Conference Code: 22TH03ICCLSNA

Submit Your Paper Author Registration Listener Registration

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.

ICCLSNA 2022: 16. International Conference on Computational Learning and Sensor Networking in Aerospace aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Computational Learning and Sensor Networking in Aerospace. 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 Computational Learning and Sensor Networking in Aerospace

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Computational Learning and Sensor Networking in Aerospace are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

ICCLSNA 2022 has teamed up with the Special Journal Issue on Computational Learning and Sensor Networking in Aerospace. 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

Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
Chad Goldsworthy, B. Rajeswari Matam
Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
Hira Lal Gope, Hidekazu Fukai
Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner
Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
V. Veeraprathap, G. S. Harish, G. Narendra Kumar
Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
Zhifeng Kong
Flame Kernel Growth and Related Effects of Spark Plug Electrodes: Fluid Motion Interaction in an Optically Accessible DISI Engine
A. Schirru, A. Irimescu, S. Merola, A. d’Adamo, S. Fontanesi
Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks
Anne-Lena Kampen, Øivind Kure
Adaptive Envelope Protection Control for the below and above Rated Regions of Wind Turbines
Mustafa Sahin, İlkay Yavrucuk
Simulation and Design of an Aerospace Mission Powered by “Candy” Type Fuel Engines
N. Hernández Huertas, F. Rojas Mora
Churn Prediction for Telecommunication Industry Using Artificial Neural Networks
Ulas Vural, M. Ergun Okay, E. Mesut Yildiz
A Survey of Field Programmable Gate Array-Based Convolutional Neural Network Accelerators
Wei Zhang
Developing an Advanced Algorithm Capable of Classifying News, Articles and Other Textual Documents Using Text Mining Techniques
R. B. Knudsen, O. T. Rasmussen, R. A. Alphinas
An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang

Sensor Network
Adaptive Monitoring of Aerospace Systems
Prognostic Health Management
Risk Management in Space Missions
MRO Logistics, Strategy, and Regulatory
Intelligent Agents
Bayesian and Generative Modeling
Reinforcement Learning
Kernel Methods
Support Vector Machines
Evolutionary Computing
Memetic Computing
Swarm Intelligent
Neural Networks
Boosting
Multi-view/Multi-task Learning
Probabilistic Methods
Numerical Optimization Methods
Diagnostic and Fault Isolation
Decision-making Under Uncertainty
Validation, Verification, and Metrics
Supervised and Unsupervised Learning
Real-time Machine Learning
Response Surface Modeling
Diagnostics and Prognostics of Aircraft Systems
Surface Reconstruction
Anomaly Detection from Aerospace Vehicle Data
Physics-of-failure Modeling
Classification in Large Sky Surveys
Text Mining in Aerospace Information Systems
Privacy and Security Issues in Aerospace Data
Robotic Telescopes
Supervised and Unsupervised Learning in Astro-physics
Predictive Maintenance
Aircraft Safety
Adaptive Robotic Finishing
Combustion Instability
Radar

Abstracts/Full-Text Paper Submission Deadline		January 28, 2021
Notification of Acceptance/Rejection		February 11, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline		March 08, 2022
Conference Dates		March 08-09, 2022

Chakchai So-In	Khon Kaen University, TH
Chutima Prommak	Suranaree University of Technology, TH
Hammadi Nait Charif	Bournemouth University, UK
Sergio Davalos	University of Washington Tacoma, US
Ayush Singhal	University of Minnesota, Twin Cities, US
Naga Usha Gayathri Lokala	Wright State University, US
Harshavardhan Achrekar	University of Massachusetts Lowell, US
Mohammad Hosein Samadian	Massachusetts Institute of Technology, US
Srikanth Gururajan	West Virginia University, US
Marco Schoen	Idaho State University, US
Danda Rawat	Old Dominion University, US
Feifan Liu	University of Wisconsin Milwaukee, US
Wei Wang	South Dakota State University, US
Sugam Sharma	Iowa State University, US
Xiaochun Xu	University of Florida, US
Konstantinos Domdouzis	University of Illinois at Urbana - Champaign, US
Kamran Mohseni	University of Colorado, US
Kevin (Jiancheng) Jia	International Game Technology, US
Waleed Zaghloul	Health Language Inc., US
Adel El Shahat	Ohio State University, US
Clark Abt	Benjamin Franklin Institute of Technology, US
Ryo Amano	University of Wisconsin, US
Qing Yang	Deaprtment of Auburn University, US
Sridhar Seshagiri	San Diego State University, US
Janet Kourik	Webster University, US
Sathish Kumar Marappan	Paavai Engineering College, IN
Raaid Alubady	University of Babylon, IQ
A. Kousar Nikhath	Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, IN
Christos Spandonidis	Prisma Electronics , GR
Chandrasekhar Subramanyam	IFIM Business School, IN

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

All conference materials and services will be delivered digitally to the participant with the online conference management system. Conference registration includes the following digital materials and services:

e-certificates [for Authors: Certificate of Attendance and Presentation; for Listeners: Certificate of Attendance; for Chairs: Certificate of Attendance and Appreciation; for Presenters: Certificate of Best Presentation (if conferred based appraisal)]
e-program
e-book
e-name badge
e-receipt
e-presentation

Presentation Types:

Physical presentation is an oral conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
Digital presentation is a digital conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.

Early Bird Registration

Early Bird registration is valid until 2022-03-08 23:59:59

Online Credit Card Processing

Online payment option available for author and listener delegates.
Conference participants can make online credit card payments for conference registration fees.