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.
International Conference on Statistics 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
Statistics 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 Statistics 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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Statistics 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,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
20. International Conference on Statistics and Neural Networks has teamed up with the Special Journal Issue on
Statistics 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.
Selected Papers
-
A Study on the Application of Machine Learning and Deep Learning Techniques for Skin Cancer Detection
Hritwik Ghosh, Irfan Sadiq Rahat, Sachi Nandan Mohanty, J. V. R. Ravindra, Abdus Sobur
-
Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection
Taiwo. M. Akinmuyisitan, John Cosmas
-
Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals
Nishant Rodrigues, Nicole Spanedda, Chilukuri K. Mohan, Arindam Chakraborty
-
Latency-Based Motion Detection in Spiking Neural Networks
Mohammad Saleh Vahdatpour, Yanqing Zhang
-
High-Power Amplifier Pre-distorter Based on Neural Networks for 5G Satellite Communications
Abdelhamid Louliej, Younes Jabrane
-
Personalized Applications for Advanced Healthcare through AI-ML and Blockchain
Anuja Vyas, Aikel Indurkhya, Hari Krishna Garg
-
Enhancing Spatial Interpolation: A Multi-Layer Inverse Distance Weighting Model for Complex Regression and Classification Tasks in Spatial Data Analysis
Yakin Hajlaoui, Richard Labib, Jean-Franc¸ois Plante, Michel Gamache
-
JaCoText: A Pretrained Model for Java Code-Text Generation
Jessica Lòpez Espejel, Mahaman Sanoussi Yahaya Alassan, Walid Dahhane, El Hassane Ettifouri
-
Transportation Mode Choice Analysis for Accessibility of the Mehrabad International Airport by Statistical Models
N. Mirzaei Varzeghani, M. Saffarzadeh, A. Naderan, A. Taheri
-
Robust Heart Sounds Segmentation Based on the Variation of the Phonocardiogram Curve Length
Mecheri Zeid Belmecheri, Maamar Ahfir, Izzet Kale
-
SEM Image Classification Using CNN Architectures
G. Türkmen, Ö. Tekin, K. Kurtuluş, Y. Y. Yurtseven, M. Baran
-
Robot Movement Using the Trust Region Policy Optimization
Romisaa Ali
-
An Empirical Study on Switching Activation Functions in Shallow and Deep Neural Networks
Apoorva Vinod, Archana Mathur, Snehanshu Saha
-
Depth Estimation in DNN Using Stereo Thermal Image Pairs
Ahmet Faruk Akyuz, Hasan Sakir Bilge
-
Artificial Neurons Based on Memristors for Spiking Neural Networks
Yan Yu, Wang Yu, Chen Xintong, Liu Yi, Zhang Yanzhong, Wang Yanji, Chen Xingyu, Zhang Miaocheng, Tong Yi
Conference venue information will be released soon.
Neural networks in applied statistics
Neural networks and statistical techniques
Designing neural networks from statistical models
Nonlinear statistics and neural networks
Neural networks as statistical tools
Statistical language models
Linear and nonlinear regression
Multiple regression
Classification networks
| Abstracts/Full-Text Paper Submission Deadline |
|
February 13, 2025 |
| Notification of Acceptance/Rejection |
|
February 27, 2025 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
July 22, 2026 |
| Conference Dates |
|
August 23-24, 2026 |
