Hybrid Conferencee

International Conference on Statistical Learning and Computational Intelligence (ICSL-CI - 26)

6th - 7th July 2026 | Mbalmayo, Cameroon
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 Mbalmayo. 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 Mbalmayo 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 Mbalmayo conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Mbalmayo, 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 Mbalmayo."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSL-CI aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Computational Science,Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Statistical learning techniques in big data
02
Computational intelligence applications in AI
03
Machine learning for predictive modeling
04
Data mining techniques for knowledge discovery
05
Statistical methods for data analysis
06
Challenges in statistical learning research
07
Real-time analytics in computational intelligence
08
AI applications in healthcare analytics
09
Ethics in statistical learning practices
10
Future trends in computational intelligence
11
Collaborative approaches in statistical research
12
Data visualization techniques in analytics
13
Machine learning for anomaly detection
14
Predictive analytics in social sciences
15
Statistical modeling for financial forecasting
16
Impact of AI on statistical methodologies
17
Interdisciplinary research in computational intelligence
18
Statistical learning for environmental studies
19
AI-driven decision support systems
20
Applications of statistical learning in education