Collections and calls for papers

This special issue aims at bringing together articles that discuss recent advances in Graph Theory-based Approaches for Optimizing Neural Network Architectures. Graph theory has emerged as a powerful tool fo...

This special issue aims at bringing together articles that discuss recent advances in machine learning and inverse problems. Machine Learning is a subset of Artificial Intelligence focusing on computers’ abi...

MAKE CITIES AND HUMAN SETTLEMENTS INCLUSIVE, SAFE, RESILIENT AND SUSTAINABLE. We invite you to browse our SDG11-related publications on the Springer Nature SDG11-Hub. The world’s population is constantly inc...

ENSURE SUSTAINABLE CONSUMPTION AND PRODUCTION PATTERNS. We invite you to browse our Springer Nature SDG12-Hub for SDG12-related publications, blog posts and interviews. Consumption and production are driving...

TAKE URGENT ACTION TO COMBAT CLIMATE CHANGE AND ITS IMPACTS. Explore the Springer Nature SDG13-Hub to find relevant content on climate policy, social impact, meteorology, food production, policy, chemistry, ...

ENSURE ACCESS TO AFFORDABLE, RELIABLE, SUSTAINABLE AND MODERN ENERGY FOR ALL. The Springer Nature SDG7-Hub explores, how we can address this global challenge posed by the UN SDG7, Affordable and Clean Energy...

Aim This special issue aims to attract high-quality papers that showcase the interactions between optimization and engineering, and so it focuses on modeling and optimization theory and includes high-impact ...