Results 101 to 110 of about 30,221 (232)
Microplanning for designing vaccination campaigns in low-resource settings: A geospatial artificial intelligence-based framework. [PDF]
Augusto Hernandes Rocha T +8 more
europepmc +1 more source
Ontology of common sense geographic phenomena: Foundations for interoperable multilingual geospatial databases [PDF]
Information may be defined as the conceptual or communicable part of the content of mental acts. The content of mental acts includes sensory data as well as concepts, particular as well as general information.
Brogaard, Berit +2 more
core
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan +1 more
wiley +1 more source
Accurate geospatial data are essential for intelligent transportation systems and automated reporting applications, as location precision directly impacts safety analysis and decision-making. GPS devices are now routinely employed by law enforcement officers when filing vehicle crash reports, yet our investigation reveals that significant data quality ...
Lars Skaug, Mehrdad Nojoumian
openaire +1 more source
The spread of non‐native species
ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock +16 more
wiley +1 more source
ABSTRACT The regulatory power of the European Union (EU) is commonly conceptualised as its capacity to externalise its regulations into other jurisdictions, a form of influence widely referred to as the Brussels effect. Yet, within the digital economy, scholars observe a departure from global regulatory convergence toward patterns of competition ...
Laura Meyer
wiley +1 more source
Floods cause severe global damage, demanding smarter, data-driven solutions. Geospatial Artificial Intelligence (GeoAI) integrated with Generative Pre-trained Transformers (GPT) is advancing flood disaster management through intelligent automation, data ...
Mahdieh Shirmohammadi +7 more
doaj +1 more source
Artificial intelligence for personalized multiple micronutrient supplementation in maternal health
Abstract Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pregnancy outcomes and long‐term health risks for mothers and offspring. Multiple micronutrient supplementation (MMS) during pregnancy has demonstrated benefits, including reduced risks of low birth weight, small‐for‐gestational‐age births, and ...
Gabriel Davis Jones +9 more
wiley +1 more source
An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion
In this paper, we propose an improved SMA algorithm (SRSMA), incorporating a Sobel sequence mechanism and Rosenbrock mechanism. The next task involves constructing a machine learning model called SRSMA-FKNN to predict tuberculous pleural effusion by ...
Qian Zhang +7 more
doaj +1 more source
MULTI AGENT-BASED ENVIRONMENTAL LANDSCAPE (MABEL) - AN ARTIFICIAL INTELLIGENCE SIMULATION MODEL: SOME EARLY ASSESSMENTS [PDF]
The Multi Agent-Based Environmental Landscape model (MABEL) introduces a Distributed Artificial Intelligence (DAI) systemic methodology, to simulate land use and transformation changes over time and space.
Alexandridis, Konstantinos T. +1 more
core +1 more source

