CLEO closed loop framework for synthesizing medical privacy preserving tabular data. [PDF]
Wang S +7 more
europepmc +1 more source
ABSTRACT With increasing geopolitical risks, environmental pressures, and regulatory demands, the sustainable sourcing of raw materials has become a global priority for achieving the United Nations Sustainable Development Goals (SDGs), particularly SDG 9 (Industry, Innovation and Infrastructure), SDG 12 (Responsible Consumption and Production), and SDG
Francesco Parisi +5 more
wiley +1 more source
A digital twin-based comparative reinforcement learning framework for personalized behavioral recommendation. [PDF]
Chatterjee A, Avazov N.
europepmc +1 more source
Sustainable Production Planning: Insights Into Factors, Models, and Solution Methods
ABSTRACT Effective resource management remains a major challenge for organizations seeking to balance economic efficiency with environmental and social responsibility. In this context, production planning becomes a strategic mechanism for integrating sustainability into industrial operations.
Daysi Ortiz +2 more
wiley +1 more source
Goal-guided greedy experience replay-enhanced reinforcement learning for efficient autonomous navigation. [PDF]
Zeng Y, Xie M.
europepmc +1 more source
ABSTRACT The integration of Environmental, Social and Governance (ESG) criteria into sustainable development exposes critical limitations in traditional cost modelling for Asset Lifecycle Management. Through a systematic review of 64 studies (2016–2025), this research identifies gaps including the compartmentalisation of ESG factors, methodological ...
Ziru Tao +4 more
wiley +1 more source
Value-Regularized Reinforcement Learning for Model Predictive Control of Autonomous Mobile Robots Under Stochastic Disturbances. [PDF]
Yu C, Zhang W, Li Q, Cheng Y, Li Z.
europepmc +1 more source
Determinants of Community Resilience: A Multi‐Level Synthesis of Empirical and Conceptual Evidence
ABSTRACT Community resilience research remains fragmented across disciplines, with limited integration of empirical evidence and conceptual scholarship. This study addresses this gap through a directed content analysis of 48 empirical case studies and 39 conceptual and review publications from diverse geographical and hazard contexts.
Anamol Neupane +2 more
wiley +1 more source
Optimizing hepatitis C diagnosis through reinforcement learning feature selection and multi-model machine learning evaluation. [PDF]
Arora KA +5 more
europepmc +1 more source
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source

