Results 191 to 200 of about 1,021,744 (301)
CTMNet: causal trend evolution and adaptive modulation for time series forecasting. [PDF]
Wang Y, Chen X, Chen J, Liu M.
europepmc +1 more source
ABSTRACT Transition intermediaries play a pivotal role in configuring networks aligning the interests of stakeholders to achieve sustainable goals. However, the transition literature has paid little attention to the influence intermediaries can have in strengthening organisational capabilities. Especially in sectors that are slow to change, such as the
Horacio Gonzalez +2 more
wiley +1 more source
Bridging the weather and climate divide with artificial intelligence. [PDF]
Camps-Valls G +19 more
europepmc +1 more source
ABSTRACT The increasing popularity of ecotourism in regions like Central America and the Caribbean, particularly in the Dominican Republic, necessitates a deeper understanding of how these businesses can integrate innovation with environmental sustainability.
Hayrold José Ureña‐Espaillat +2 more
wiley +1 more source
Machine learning-based forecasting of CO<sub>2</sub>-related economic growth and agricultural land change in IORA countries. [PDF]
Xu X, Liang G, Rogers RA, Siow CZ.
europepmc +1 more source
Digital Technology's Role in Circular Waste Management: A Systematic Review
ABSTRACT Combining circular economy ideas with digital tools offers a game‐changing way to tackle global sustainability problems. This paper focuses on how digital changes and circular economy models link up. A review has been conducted for 112 articles from 2021 to September 2025, using PRISMA‐2020 methodology. This study covered new tech like AI, IoT,
Reza Eslamipoor
wiley +1 more source
Adaptive sampling in the Philippine Sea using autonomous profiling floats and FloatCast. [PDF]
Tolone JR +3 more
europepmc +1 more source
ABSTRACT Corporate environmental communication has become an essential aspect of modern business practices, as stakeholders increasingly demand transparency and accountability regarding sustainability efforts. Within this context, we examine whether firms use environmental communication on X/Twitter to offset weaker relative environmental performance ...
Ivan Russo +3 more
wiley +1 more source
Seasonal forecasting using the GenCast probabilistic machine learning model. [PDF]
Antonio B, Strommen K, Christensen HM.
europepmc +1 more source

