Results 201 to 210 of about 18,749 (290)

Real‐Time Detection and Prevention of DoS Attack in Unmanned Marine Vehicles Using Machine Learning

open access: yesSECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
ABSTRACT Unmanned marine vehicles (UMVs) are one of the most crucial components of the underwater communication and surveillance system in the marine and oceanographic environment. This research introduces a novel approach to stabilize the connection in an unstable underwater environment by inheriting features of communication velocities.
Noman Ali   +8 more
wiley   +1 more source

Illicit Drug‐Derived Volatile Organic Compounds as Markers for Application in Noncontact Detection Technology

open access: yesThe Chemical Record, Volume 26, Issue 3, March 2026.
This review highlights the characteristic odor markers of illicit drugs, emphasizing volatile markers from both natural and synthetic sources, and explores the shift from canine‐based detection to emerging noncontact sensing technologies. Illicit drug use remains a global concern, requiring effective detection methods to counter evolving concealment ...
Minwoo Kim   +4 more
wiley   +1 more source

Harnessing Stability‐Guided Interpretable Machine Learning for Understanding and Predicting Water Quality in Freshwater Ecosystems

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 3, March 2026.
Abstract Harmful phytoplankton blooms driven by climate warming and nutrient pollution are a growing threat to freshwater ecosystems worldwide. Predicting these blooms is critical for managing water resources. However, process‐based models often struggle to capture the complex nonlinear dynamics of phytoplankton.
Rohit Shukla   +4 more
wiley   +1 more source

Machine Learning‐Ready Data Sets for the Analysis and Nowcasting of Atmospheric Radiation at Aviation Altitudes

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract Nowcasting and forecasting of the radiation environment in the Earth's lower atmosphere are critical for the safety of aircraft and spacecraft crews and passengers. Currently, this problem is addressed by employing statistical and physics‐based models that take into account particle transport and precipitation.
V. M. Sadykov   +12 more
wiley   +1 more source

Flare Prediction Modeling Based on the Time Series of SHARP Parameters Along the Polarity Inversion Line of Active Regions

open access: yesSpace Weather, Volume 24, Issue 3, March 2026.
Abstract The polarity inversion line (PIL) in active regions (ARs) is considered to be closely associated with solar flare eruptions. In this study, we rigorously constructed standardized data sets based on time series of different lengths using Space‐weather HMI Active Region Patches (SHARP) parameters calculated along the PIL.
Siwei Liu   +7 more
wiley   +1 more source

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