ICAINN 2021: 15. International Conference on Artificial Intelligence and Neural Networks

March 22-23, 2021 in Prague, Czechia

Conference Code: 21CZ03ICAINN

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.

ICAINN 2021: 15. International Conference on Artificial Intelligence and Neural Networks 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 and Neural Networks. 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 and Neural Networks

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Artificial Intelligence and Neural Networks are cordially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

ICAINN 2021 has teamed up with the Special Journal Issue on Artificial Intelligence and Neural Networks. 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
Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
V. Veeraprathap, G. S. Harish, G. Narendra Kumar
The Application of a Neural Network in the Reworking of Accu-Chek to Wrist Bands to Monitor Blood Glucose in the Human Body
J. K Adedeji, O. H Olowomofe, C. O Alo, S.T Ijatuyi
An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
Recent Trends on Security Constrained Economic Dispatch: A Bibliographic Review
Shewit Tsegaye, Fekadu Shewarega
Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification
Abdelhadi Lotfi, Abdelkader Benyettou
Maximization of Lifetime for Wireless Sensor Networks Based on Energy Efficient Clustering Algorithm
Frodouard Minani
Online Pose Estimation and Tracking Approach with Siamese Region Proposal Network
Cheng Fang, Lingwei Quan, Cunyue Lu
Vision Based People Tracking System
Boukerch Haroun, Luo Qing Sheng, Li Hua Shi, Boukraa Sebti
Fast Adjustable Threshold for Uniform Neural Network Quantization
Alexander Goncharenko, Andrey Denisov, Sergey Alyamkin, Evgeny Terentev
A Bacterial Foraging Optimization Algorithm Applied to the Synthesis of Polyacrylamide Hydrogels
Florin Leon, Silvia Curteanu
Thermalytix: An Advanced Artificial Intelligence Based Solution for Non-Contact Breast Screening
S. Sudhakar, Geetha Manjunath, Siva Teja Kakileti, Himanshu Madhu
Crude Oil Price Prediction Using LSTM Networks
Varun Gupta, Ankit Pandey

Artificial Intelligence and Neural Networks
Agent-based systems
Artificial Intelligence in Modelling and Simulation
Artificial Intelligence in Scheduling and Optimization
Artificial life
Bioinformatics
Brain-machine interfaces
Cognitive models
Collective intelligence
Computational biology
Computational neuroscience
Computer Vision
Concurrent and Parallel Processing
Data mining
Distributed Intelligent Processing
Embodied robotics
Evolutionary Design
Evolutionary neural systems
Evolutionary Scheduling and Optimisation
Expert Systems
Fuzzy Computing with Words
Fuzzy Control
Fuzzy Logic
Fuzzy Optimisation
Hardware Implementations
Hybrid systems
Intelligent Database Systems
Knowledge Engineering
Machine vision.
Multi-agent Systems
Natural Language Processing
Neural hardware
Neural network applications
Neural Network Theory and Architectures
Neural network theory and models
Neurodynamics
Neuroengineering
Neuroinformatics
Pattern recognition
Robotics and Related Fields
Rough Sets Theory: Foundations and Applications
Self-aware systems
Sensor networks
Speech Understanding
Supervised and Unsupervised Learning
Theory of Evolutionary Algorithms
Various Applications

Abstracts/Full-Text Paper Submission Deadline		February 27, 2020
Notification of Acceptance/Rejection		March 12, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline		February 21, 2021
Conference Dates		March 22-23, 2021

Caroline König	Universitat Politécnica de Catalunya, ES
Jose L. Diego	Valencia Local Police, ES
Javier Finat	University of Valladolid, ES
Arshad MANSOOR	SZABIST University, ES
Julio Hernando Vargas Riaño	Universidad Politécnica de Valencia, ES
Constantino Malagón	Nebrija University, ES
Elhadj Benkhelifa	Staffordshire University, UK
C. Suheyl Ozveren	University of Abertay Dundee, UK
Vishal Barot	Loughborough University, UK
Hammadi Nait Charif	Bournemouth University, UK
Mohammed Rezaul Karim	Guildhall College, UK
Chee Seng Chan	University of Portsmouth, UK
Djamila Ouelhadj	University of Nottingham, UK
John Chiverton	University of Bristol, UK
Abhishek Bajpayee	Massachusetts Institute of Technology, US
Akilesh Rajavenkatanarayanan	The University of Texas at Arlington, US
Arash Mahyari	Florida Institute For Human and Machine Cognition, US
Mahdieh Zabihimayvan	Wright State University, US
Faezehossadat Khademi	Illinois Institute of Technology, US
Naga Usha Gayathri Lokala	Wright State University, US
Mohammed Korayem	CareerBuilder, LLC., US
Srikanth Gururajan	West Virginia University, US
Fan Wang	Microsoft Corporation, US
Ali M. Reza	US Coast Guard Academy, US
Guoxiang Liu	University of North Dakota, US
Danda Rawat	Old Dominion University, US
Suresh Kamath	MetLife Inc, US
Ashish Chawla	University of Texas at Arlington, US
Wei Wang	South Dakota State University, US
Henry Hexmoor	Southern Illinois University, US

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 2021-02-21 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.