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 Data Science and Machine Learning
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Data Science and Machine Learning.
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 Data Science and Machine Learning.
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Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or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 Data Science and Machine Learning 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
18. International Conference on Data Science and Machine Learning has teamed up with the Special Journal Issue on
Data Science and Machine Learning.
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
-
Aeration Optimization in an Activated Sludge Wastewater Treatment Plant Based on CFD Method: A Case Study
Seyed Sina Khamesi, Rana Rafiei
-
Bridge Health Monitoring: A Review
Mohammad Bakhshandeh
-
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
-
Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
-
Environmental Impact of Sustainability Dispersion of Chlorine Releases in Coastal Zone of Alexandra: Spatial-Ecological Modeling
Mohammed El Raey, Moustafa Osman Mohammed
-
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
Digital Program consists of the e-proceedings book which is available online-only
and includes the conference communications (proceedings abstracts and papers).
Registered participants can access the digitally available conference
proceedings ( and certificates ) by visiting their profile pages.
Computer science
Computer system
Complex systems
Design and analysis of algorithms
Logic and proof
Models of computation
Object-oriented programming
Intelligent systems
Computational learning theory
Computational complexity
Lambda calculus and types
Computer animation
Machine learning
Computational linguistics
Automata, logic and games
Concurrent algorithms and data structures
Decision tree learning
Association rule learning
Artificial neural networks
Deep Learning
Inductive logic programming
Support vector machines
Clustering
Bayesian networks
Reinforcement learning
Representation learning
Similarity and metric learning
Sparse dictionary learning
Genetic algorithms
Open-source software
Commercial software with open-source editions
Commercial software
Supervised learning
Unsupervised learning
Reinforcement learning
Pattern recognition
Data mining
| Abstracts/Full-Text Paper Submission Deadline |
|
November 28, 2024 |
| Notification of Acceptance/Rejection |
|
December 12, 2024 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
November 04, 2024 |
| Conference Dates |
|
December 02-03, 2024 |
