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 Machine Learning and Artificial Intelligence
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Machine Learning and Artificial Intelligence.
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 Machine Learning and Artificial Intelligence.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Machine Learning and Artificial Intelligence 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 Machine Learning and Artificial Intelligence has teamed up with the Special Journal Issue on
Machine Learning and Artificial Intelligence.
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 Power Control of Wind Energy Conversion System
Mehdi Nafar, Mohammad Reza Mansouri
-
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
-
Using Historical Data for Stock Prediction of a Tech Company
Sofia Stoica
-
Fuzzy Logic Control for Flexible Joint Manipulator: An Experimental Implementation
Sophia Fry, Mahir Irtiza, Alexa Hoffman, Yousef Sardahi
-
Identifying Autism Spectrum Disorder Using Optimization-Based Clustering
Sharifah Mousli, Sona Taheri, Jiayuan He
-
A Case Study to Observe How Students’ Perception of the Possibility of Success Impacts Their Performance in Summative Exams
Rochelle Elva
-
RV-YOLOX: Object Detection on Inland Waterways Based on Optimized YOLOX through Fusion of Vision and 3+1D Millimeter Wave Radar
Zixian Zhang, Shanliang Yao, Zile Huang, Zhaodong Wu, Xiaohui Zhu, Yong Yue, Jieming Ma
-
Environmental Impact of Sustainability Dispersion of Chlorine Releases in Coastal Zone of Alexandra: Spatial-Ecological Modeling
Mohammed El Raey, Moustafa Osman Mohammed
-
Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
-
The Implications of Technological Advancements on the Constitutional Principles of Contract Law
Laura Çami (Vorpsi), Xhon Skënderi
-
Climate Change in Albania and Its Effect on Cereal Yield
L. Basha, E. Gjika
-
A Text Classification Approach Based on Natural Language Processing and Machine Learning Techniques
Rim Messaoudi, Nogaye-Gueye Gning, François Azelart
-
Case-Based Reasoning Application to Predict Geological Features at Site C Dam Construction Project
S. Behnam Malekzadeh, I. Kerr, T. Kaempffer, T. Harper, A Watson
-
Attention Multiple Instance Learning for Cancer Tissue Classification in Digital Histopathology Images
Afaf Alharbi, Qianni Zhang
-
PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System
Ioannis Andrianakis, Vasileios Gkatas, Nikos Eleftheriadis, Alexios Ellinidis, Ermioni Avramidou
Conference venue information will be released soon.
Artificial neural networks
Association rule learning
Automata, logic and games
Bayesian networks
Clustering
Commercial software
Commercial software with open-source editions
Complex systems
Computational complexity
Computational learning theory
Computational linguistics
Computer animation
Computer science
Computer system
Concurrent algorithms and data structures
Data mining
Decision tree learning
Deep Learning
Design and analysis of algorithms
Genetic algorithms
Inductive logic programming
Intelligent systems
Lambda calculus and types
Logic and proof
Machine learning
Models of computation
Object-oriented programming
Open-source software
Pattern recognition
Reinforcement learning
Representation learning
Similarity and metric learning
Sparse dictionary learning
Supervised learning
Support vector machines
Unsupervised learning
| 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 30, 2026 |
| Conference Dates |
|
August 30-31, 2026 |
