Results 241 to 250 of about 699,938 (301)
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +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
Trade Realignments and the Need for Integrated Modeling Research in Latin America's Agri‐Food Sector
Agribusiness, EarlyView.
Emiliano Lopez Barrera
wiley +1 more source
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
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Review of Finance, 2011
Abstract We argue that salience—the extent to which a cost is visible and difficult to ignore—may have economically significant effects on homeowners’ borrowing behavior, through a bias toward less salient but more expensive loans. We first use a simple model to show that the presence of some biased consumers in the market will affect ...
Johan Almenberg, Artashes Karapetyan
openaire +2 more sources
Abstract We argue that salience—the extent to which a cost is visible and difficult to ignore—may have economically significant effects on homeowners’ borrowing behavior, through a bias toward less salient but more expensive loans. We first use a simple model to show that the presence of some biased consumers in the market will affect ...
Johan Almenberg, Artashes Karapetyan
openaire +2 more sources
The Hidden Cost of Hidden Terminals
2010 IEEE International Conference on Communications, 2010The performance unfairness problem in a single cell IEEE 802.11 wireless local area network (WLAN) is considered. While existing research is based on the assumption that all nodes have the same transmission success probability and per-node throughput, this fairness exists only if all nodes within range of the access point can sense each other.
F. Liu +5 more
openaire +1 more source
Renewable Energy's Hidden Costs
Scientific American, 2013The article discusses the hidden costs of renewable energy sources, such as solar and wind power, which includes graphs showing the amount of metals needed for renewable energy infrastructure, such as metal for growing rapeseed oil, nickel in wind power, and tin and silver in solar power.
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IEE Review, 2002
The environmental impact of electricity generation is not reflected in current market prices. In this paper, the author outlines the implications of a major European study aimed at assessing electricity's environmental externalities.
openaire +1 more source
The environmental impact of electricity generation is not reflected in current market prices. In this paper, the author outlines the implications of a major European study aimed at assessing electricity's environmental externalities.
openaire +1 more source

