ICAINN 2023: 17. International Conference on Artificial Intelligence and Neural Networks

December 13-14, 2023 in Cairo, Egypt

Conference Code: 23EG12ICAINN

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 2023: 17. 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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Artificial Intelligence and Neural Networks are cordially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 2023 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

Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
Chad Goldsworthy, B. Rajeswari Matam
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
Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point Clouds
Hesheng Wang, Haoyu Wang, Chungang Zhuang
Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
Image Ranking to Assist Object Labeling for Training Detection Models
Tonislav Ivanov, Oleksii Nedashkivskyi, Denis Babeshko, Vadim Pinskiy, Matthew Putman
Model of Optimal Centroids Approach for Multivariate Data Classification
Pham Van Nha, Le Cam Binh
Predicting the Success of Bank Telemarketing Using Artificial Neural Network
Mokrane Selma
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
Classifying Turbomachinery Blade Mode Shapes Using Artificial Neural Networks
Ismail Abubakar, Hamid Mehrabi, Reg Morton
Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
Zhifeng Kong
Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks
Anne-Lena Kampen, Øivind Kure
Artificial Intelligence-Based Chest X-Ray Test of COVID-19 Patients
Dhurgham Al-Karawi, Nisreen Polus, Shakir Al-Zaidi, Sabah Jassim
Adaptive Envelope Protection Control for the below and above Rated Regions of Wind Turbines
Mustafa Sahin, İlkay Yavrucuk

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 13, 2022
Notification of Acceptance/Rejection		February 27, 2022
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline		November 15, 2023
Conference Dates		December 13-14, 2023

Jims Marchang	Sheffield Hallam University, GB
Ehsan Nadernejad	Dyson Technology Ltd., GB
Habib Gorine	Sheffield Hallam University, GB
Hongying Meng	Brunel University London, GB
Mohammad Hammoudeh	University of Wolverhampton, GB
Qinggang Meng	Loughborough University, GB
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
Catherine Fang	Carnegie Mellon University, US
Kai Zheng	Stony Brook University, US
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
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

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

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 2023-11-15 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.