AIMC Topic: Earth, Planet

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A Machine-Learning Approach to Biosignature Exploration on Early Earth and Mars Using Sulfur Isotope and Trace Element Data in Pyrite.

Astrobiology Oct 25, 2024
We propose a novel approach to identify the origin of pyrite grains and distinguish biologically influenced sedimentary pyrite using combined sulfur isotope (δS) and trace element (TE) analyses. To classify and predict the origin of individual pyrit...
Geologic Sediments Earth, Planet Sulfides Exobiology Sulfur Isotopes Mars Extraterrestrial Environment Algorithms Machine Learning Iron Trace Elements
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Darwinian evolution has become dogma; AI can rescue what is salvageable.

Progress in biophysics and molecular biology Dec 23, 2023
Artificial Intelligence (AI), as an academic discipline, is traceable to the mid-1950s but it is currently exploding in applications with successes and concerns. AI can be defined as intelligence demonstrated by computers, with intelligence difficult...
Artificial Intelligence Probability Intelligence Earth, Planet
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Quasi zenith satellite system-reflectometry for sea-level measurement and implication of machine learning methodology.

Scientific reports Dec 12, 2022
The tide gauge measurements from global navigation satellite system reflectometry (GNSS-R) observables are considered to be a promising alternative to the traditional tide gauges in the present days. In the present paper, we deliver a comparative ana...
Machine Learning Earth, Planet Signal-To-Noise Ratio Japan
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Cooperative Downloading for LEO Satellite Networks: A DRL-Based Approach.

Sensors (Basel, Switzerland) Sep 10, 2022
In low earth orbit (LEO) satellite-based applications (e.g., remote sensing and surveillance), it is important to efficiently transmit collected data to ground stations (GS). However, LEO satellites' high mobility and resultant insufficient time for ...
Earth, Planet Telemetry Satellite Communications Algorithms Neural Networks, Computer
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The SESAME Human-Earth Atlas.

Scientific data May 12, 2025
Human activities such as food production, mining, transportation, and construction have extensively modified Earth's land and marine environments, causing biodiversity loss, water pollution, soil erosion, and climate change. However, studying spatial...
Earth, Planet Atlases as Topic Machine Learning Human Activities Humans
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Regimes of ion dynamics in current sheets: The machine learning approach.

Physical review. E Dec 1, 2022
Current sheets are spatially localized almost-one-dimensional (1D) structures with intense plasma currents. They play a key role in storing the magnetic field energy and they separate different plasma populations in planetary magnetospheres, the sola...
Earth, Planet Magnetic Fields Machine Learning Ions Motion
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The case for technology investments in the environment.

Nature Dec 21, 2017
Conservation of Natural Resources Biodiversity Environment Fisheries Artificial Intelligence Forestry Humans Software Neural Networks, Computer Spatio-Temporal Analysis Earth, Planet Technology Algorithms Organizations Agriculture Global Warming Reproducibility of Results Investments Animals Water Supply
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