A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and ...

Abstract: In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named ...

Abstract: Evolutionary multi-objective optimization algorithms are widely used for solving optimization problems with multiple conflicting objectives. However, basic evolutionary multi-objective ...

App store optimization companies can contribute to effective efforts when trying to get mobile apps noticed in the crowded app stores. If you’re an app owner or marketer aiming to boost app visibility ...

With 54% of global marketers planning to reduce spending in 2025, ad spend efficiency will be critical. The goal is clear: maximize your marketing impact for minimum cost. However, the path to ...

Large language models (LLMs) have revolutionized a wide range of tasks and applications that were previously reliant on manually crafted machine learning (ML) solutions, streamlining through ...

State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, P. R. China ...

Monitoring groundwater quality in economically important and other aquifers is carried out regularly as part of regulatory processes for water and other resource development. Many water quality ...