Results 31 to 40 of about 671,217 (256)

Interdisciplinary challenges in bio-energy carbon capture utilization & storage deployment: A review

Carbon Capture Science & Technology
Bioenergy with Carbon Capture, Utilization, and Storage (BECCUS) is an innovative technology that has the potential to contribute significantly to global climate change mitigation efforts by simultaneously removing atmospheric carbon dioxide through the ...
Fan David Yeung, Sergio Sammarchi, Eryu Wang, Qi Gao, Jia Li   +4 more
doaj   +1 more source

The optimal transfer of capital and embodied technologies to developing countries [PDF]

, 2009
We study the North-South diffusion of technologies embodied in internationally mobile capital in a framework of intertemporal global welfare maximization.
Hübler, Michael, Lontzek, Thomas S.
core  

Emission Trading Systems and the Optimal Technology Mix [PDF]

, 2011
Cap and trade mechanisms enjoy increasing importance in environmental legislation worldwide. The most prominent example is probably given by the European Union Emission Trading System (EU ETS) designed to limit emissions of greenhouse gases, several ...
Zöttl, Gregor
core   +2 more sources

Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick, Nomin Enkhtsetseg, Joseph Sadok, Matheus Mochetti, Annabel Sorby Adams, Jennifer Guo, Cristina Trapaga Hacker, Isabella Gomez Hjerthen, Seungwon Lee, Siddharth Satish, Andrew S. Ham, Justin Hill, Denis Balaban, Kevin Kyle, Rebecca L. Gillani, Marcelo Matiello, Aleksandar Videnovic, Eric C. Klawiter, W. Taylor Kimberly, Farrah J. Mateen   +19 more
wiley   +1 more source

Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey [PDF]

, 2015
Wireless sensor networks (WSNs) consist of autonomous and resource-limited devices. The devices cooperate to monitor one or more physical phenomena within an area of interest.
Alsheikh, Mohammad Abu, Hoang, Dinh Thai, Lin, Shaowei, Niyato, Dusit, Tan, Hwee-Pink   +4 more
core   +3 more sources

Building a Framework for Sexual and Reproductive Health Care in the Rheumatology Context: Content and Approaches

Arthritis Care &Research, EarlyView.
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley   +1 more source

Digital twin‐based online resilience scheduling for microgrids: An approach combining imitative learning and deep reinforcement learning

IET Renewable Power Generation
Strong uncertainty of renewables puts high demands on the fast response of flexibility resources and resilience‐oriented optimal scheduling for microgrids (MGs).
Haonan Sun, Nian Liu, Lu Tan, Peng Du, Bocheng Zhang   +4 more
doaj   +1 more source

Strategic Infrastructure Sequencing for Freight Transport Decarbonization Under Declining Demand Using Data from Latvia

Future Transportation
This study addresses a critical policy paradox in transport infrastructure planning: the necessity for substantial decarbonization investments amid declining freight demand forecasts in less developed territories. Despite reduced demand, such investments
Justina Hudenko, Anna Kuzina, Aleksandrs Kotlars, Inguna Jurgelane-Kaldava, Maris Gailis, Agnese Batenko, Igors Kukjans   +6 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Reinforcement learning-based multimodal art element extraction and dynamic adaptation strategy for environmental designs

Discover Artificial Intelligence
Artificial intelligence and visual art are enhancing environmental design fast. Traditional artworks in buildings and public places are unresponsive to environmental changes and people’s feelings.
Hua Qin, Baoxiang Qin
doaj   +1 more source