ICNIPIIS 2023: 17. International Conference on Neural Information Processing and Intelligent Information Systems

September 06-07, 2023 in Prague, Czechia

Conference Code: 23CZ09ICNIPIIS

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.

ICNIPIIS 2023: 17. International Conference on Neural Information Processing and Intelligent Information Systems aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Neural Information Processing and Intelligent Information Systems. 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 Neural Information Processing and Intelligent Information Systems

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Neural Information Processing and Intelligent Information Systems 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

ICNIPIIS 2023 has teamed up with the Special Journal Issue on Neural Information Processing and Intelligent Information Systems. 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
Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes
Ilona Mewes, Helena Jenzer, Farshideh Einsele
Facial Emotion Recognition with Convolutional Neural Network Based Architecture
Koray U. Erbas
Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point Clouds
Hesheng Wang, Haoyu Wang, Chungang Zhuang
Integration of Educational Data Mining Models to a Web-Based Support System for Predicting High School Student Performance
Sokkhey Phauk, Takeo Okazaki
Bayesian Deep Learning Algorithms for Classifying COVID-19 Images
I. Oloyede
A Context-Centric Chatbot for Cryptocurrency Using the Bidirectional Encoder Representations from Transformers Neural Networks
Qitao Xie, Qingquan Zhang, Xiaofei Zhang, Di Tian, Ruixuan Wen, Ting Zhu, Ping Yi, Xin Li
Malaria Parasite Detection Using Deep Learning Methods
Kaustubh Chakradeo, Michael Delves, Sofya Titarenko
Image Ranking to Assist Object Labeling for Training Detection Models
Tonislav Ivanov, Oleksii Nedashkivskyi, Denis Babeshko, Vadim Pinskiy, Matthew Putman
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
Improving the Performance of Deep Learning in Facial Emotion Recognition with Image Sharpening
Ksheeraj Sai Vepuri, Nada Attar
Real-Time Episodic Memory Construction for Optimal Action Selection in Cognitive Robotics
Deon de Jager, Yahya Zweiri, Dimitrios Makris
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
Automatic Number Plate Recognition System Based on Deep Learning
T. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi

Neuroscience
Connectionist theory
Cognitive science
Mathematical modeling of neural systems
Neurodynamic analysis
Neurodynamic optimization
Adaptive dynamic programming
Embedded neural systems
Probabilistic and information-theoretic methods
Principal and independent component analysis
Hybrid intelligent systems
Supervised learning
Unsupervised learning
Reinforcement learning
Deep learning
Brain imaging
Neuroinformatics
Bioinformatics
Support vector machines
Kernel methods
Autonomous mental development
Data mining
Pattern recognition
Time series analysis
Image and signal processing
Robotics
Intelligent control
Telecommunications
Transportation systems
Intrusion detection and fault diagnosis
Data mining
Information security
Financial engineering
Business intelligence
Bayesian networks
Sensory perception
Motor control
Social cognition
Neuroeconomics
Computational psychiatry
Brain-machine interface
Big data analysis
Biomedical engineering
Neuromorphic hardware implementation

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		June 05, 2023
Conference Dates		September 06-07, 2023

K. Sivakumar Krishnamoorthy	Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, IN
Jiawei Xu	Lincoln University, UK
Mohammed Rezaul Karim	Guildhall College, UK
Chee Seng Chan	University of Portsmouth, UK
Huseyin Seker	De Montfort University, UK
Tayebeh Sahraeibelverdi	University of Michigan, US
Rushit Dave	University Of Wisconsin, Eau Claire, US
Cuncong Zhong	The University of Kansas, US
Akansha Kumar	Texas A&M University, US
Ceci Morales	Carnegie Mellon University, US
Khaled Elbehiery	DeVry University, US
Pouria Karimi Shahri	University of North Carolina at Charlotte, US
Chung Hyun Goh	University of Texas at Tyler, US
Mahdi Imani	George Washington University, US
Arash Mahyari	Florida Institute For Human and Machine Cognition, US
Jessica Marjorie Black	Boston College, US
Wei Zhang	University of Virginia, US
Marcos Paul Gerardo Castro	Ford Greenfield Labs, US
Edward John Holupka	Harvard University, US
Omid Saber	Texas A&M University, US
Anindita Sarkar	Salk Institute For Biological Studies, US
Ayush Singhal	University of Minnesota, Twin Cities, US
Wen Zhang	Icahn school of medicine at Mount Sinai, US
Thuan Nguyen	School of Management - University of Texas at Dallas, US
Shanshan Tuo	xAd Inc, US
P. S. Jagadeesh Kumar	Harvard University, Cambridge, United States, US
Mohammed Korayem	CareerBuilder, LLC., US
Jaydip Desai	Wichita State University, US
Sandeep Reddivari	University of North Florida, US
Yingqin Luo	Albert Einstein College of Medicine, 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 2023-06-05 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.