Results 131 to 140 of about 442,095 (213)
Graph attention-based heterogeneous multi-agent deep reinforcement learning for adaptive portfolio optimization. [PDF]
Zhang B.
europepmc +1 more source
Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade
ABSTRACT The carbon border adjustment mechanism (CBAM), launching 2026, will charge EU importers for embedded carbon emissions, aiming to reduce emissions but raising import costs. Shifts in demand following implementation may reduce carbon emissions, but importers will bear the cost of increased prices.
Natalie Crisci +3 more
wiley +1 more source
Portfolio management based on value distribution reinforcement learning algorithm. [PDF]
Yang Y, Wang T, Fu Y, Huang J, Zhou D.
europepmc +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
The feasibility of social impact bonds in financing tertiary health care quality: qualitative stakeholders' perspectives in Kenya. [PDF]
Karino E, Ndegwa J, Were V.
europepmc +1 more source
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Weight-loss effects of macronutrient-based diets modified by genetic variants: a protocol for systematic review of randomised controlled trials. [PDF]
Subardjo YP +4 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Enhancing Women's Financial Empowerment through Savings Strategies: Evidence from MAMIDECOT, Masaka District, Uganda. [PDF]
Eseza N, David Ongabi N, Andrew N.
europepmc +1 more source

