Hybrid Conferencee

International Conference on Artificial Intelligence, Machine Learning and Soft Computing (ICAIMLSC - 26)

13th - 14th October 2026 | Batna, Algeria

10% DISCOUNT

Maximum discount capped at $30. Activate your Scholarly Discount during the payment phase to lower your final checkout amount.

REVEAL OFFER
EARLY10
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Batna. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Batna event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Batna conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Batna, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Batna."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 10
SDG 10 Reduced Inequalities
Track 01

Intelligent Search Techniques in Art History

This track focuses on the development and application of intelligent search algorithms tailored for the exploration of art historical data. Participants will discuss innovative methods for enhancing search efficiency and accuracy in art databases.

Track 02

Automated Reasoning in Artistic Contexts

This session explores the use of automated reasoning and logic programming in analyzing and interpreting art. Contributions will highlight how these techniques can facilitate deeper insights into artistic movements and styles.

Track 03

Machine Learning Applications in Art Analysis

This track emphasizes the implementation of machine learning algorithms in the analysis of artworks and artistic trends. Researchers will present case studies demonstrating the impact of these technologies on art historical research.

Track 04

Intelligent Planning for Art Restoration Projects

This session investigates the role of intelligent planning systems in the management of art restoration projects. Discussions will include methodologies for optimizing resource allocation and project timelines in the context of preserving cultural heritage.

Track 05

Visual and Linguistic Perception in Art Interpretation

This track examines the intersection of visual and linguistic perception theories with art interpretation. Participants will explore how these cognitive processes can be modeled and applied to enhance understanding of artistic expression.

Track 06

Evolutionary and Swarm Algorithms in Creative Processes

This session focuses on the application of evolutionary and swarm algorithms in creative processes within the arts. Researchers will discuss how these algorithms can inspire new artistic methodologies and practices.

Track 07

Fuzzy Logic and Rough Sets in Art Classification

This track delves into the use of fuzzy sets and rough sets for the classification and categorization of artworks. Contributions will highlight the advantages of these approaches in dealing with the ambiguity inherent in art.

Track 08

Neural Computing in Art Generation

This session explores the application of neural computing techniques in the generation of art. Participants will showcase innovative projects that utilize neural networks to create original artistic works.

Track 09

Multi-Agent Systems in Collaborative Art Creation

This track investigates the use of multi-agent systems in collaborative art creation. Discussions will focus on how these systems can facilitate interaction among artists and enhance the creative process.

Track 10

Data and Web Mining for Art Historical Research

This session addresses the role of data and web mining techniques in uncovering insights from vast art historical datasets. Researchers will present methodologies for extracting valuable information from online art repositories.

Track 11

Hybrid Intelligent Models for Art Evaluation

This track emphasizes the development of hybrid intelligent models that integrate various algorithms for art evaluation. Participants will discuss the effectiveness of these models in assessing artistic quality and value.