Hybrid Conferencee

International Conference on Machine Learning Applications in Information Technology (ICMLAIT - 26)

20th - 21st August 2026 | Liverpool, UK
Sample Abstract
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Conference Brochure
Sample Full Paper
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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 Liverpool. 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 Liverpool 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 Liverpool conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Liverpool, 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 Liverpool."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLAIT 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 Information Technology, 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
Applications of machine learning
02
Deep learning techniques and frameworks
03
Machine learning in healthcare
04
Natural language processing advancements
05
Reinforcement learning applications
06
Ethics in machine learning
07
Machine learning for big data
08
Model interpretability and explainability
09
Transfer learning techniques
10
Machine learning in finance
11
Computer vision applications
12
Time series analysis with ML
13
Machine learning in cybersecurity
14
Automated machine learning tools
15
Data preprocessing for ML models
16
Machine learning in IoT applications
17
Challenges in implementing ML solutions
18
Future trends in machine learning
19
Collaborative machine learning approaches
20
Machine learning for social impact