About the Conference Proceedings Series

The Conference Proceedings Series publishes peer-reviewed papers presented at the Exploring Science conferences. These proceedings are a valuable resource for the scientific community, providing access to the latest research findings, innovative methodologies, and interdisciplinary studies.

Key Features of the Proceedings: Read More

Current Issue

Vol. 9 (2025): Proceedings of the 2025 International Conference on Artificial Intelligence, Modern Engineering and Environmental Sustainability (IC-AIMEES 2025)

Published: 2025-12-16

The 2025 International Conference on Artificial Intelligence, Modern Engineering and Environmental Sustainability (IC-AIMEES 2025) is a premier interdisciplinary forum uniting global researchers, engineers, policymakers, and industry leaders to address the critical nexus of technology innovation and planetary stewardship. Hosted in Italy , Milan , on November 13-14, 2025, this conference will catalyze knowledge exchange on leveraging AI-driven engineering solutions for a sustainable future.

 

Core Mission

IC-AIMEES 2025 seeks to bridge theoretical advancements with real-world applications, fostering collaborations that accelerate the transition toward resilient, low-carbon economies. By integrating cutting-edge AI, transformative engineering practices, and environmental ethics, the conference aims to:

  • Propel breakthroughs in sustainable technology deployment.
  • Establish actionable frameworks for the UN Sustainable Development Goals (SDGs).
  • Cultivate partnerships across academia, industry, and governance.

Articles

Machine Learning-based Milk Quality Prediction

Bojun Zhao (Author)
Abstract 10 | PDF Downloads 5 | DOI: https://doi.org/10.70267/ic-aimees.202501

Page 1-14

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Our Publishing Partners

All manuscripts will be submitted for indexing to the following major indexing services, since each database makes its own editorial decision on what content it will index, Zeus Press cannot guarantee entries are included in any particular database. 

Google Scholar、CNKI SCHOLARCrossref、Scilit、LOCKSS、PKP Open Archives Harvester