A multi-objective optimization framework balances influence spread and fairness across overlapping network communities ...

Machine learning and mechanistic modeling identified optimal alkaline conditions and synergistic sacrificial reactions in ...

This section reviews the current literature on multi-criteria decision-making (MCDM) methods in sustainable energy planning, ...

Cooperative Multi-Agent Proximal Policy Optimization (MAPPO) framework for joint 3D trajectory control, priority-aware computation offloading, cooperative service caching, and uplink Non-Orthogonal ...

This research achieves a 33% saving in quantum solves for materials configuration search using Bayesian Weight Selection.

Gurobi Optimization, LLC, the leader in decision intelligence technology, today announced the release of its 2026 State of Mathematical Optimization Report. Based on a survey of 382 non-academic ...

A Skoltech-developed approach combines machine learning, explainable AI, and multi-objective optimization to improve drilling efficiency Assistant Professor Shadfar Davoodi at the Skoltech AI Center ...

Abstract: Concept drift poses a challenge in the field of data stream mining. Most existing online deep learning methods rely on a single objective, failing to sufficiently capture the latent feature ...

Machine learning acts as a bridge between raw data and action, helping organizations turn patterns in data into predictions, automation and more informed decisions. Different machine learning methods ...