Results 91 to 100 of about 387 (179)

Datasheets for machine learning sensors

AI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract Machine learning (ML) is becoming prevalent in embedded AI sensing systems. These “ML sensors” enable context‐sensitive, real‐time data collection and decision‐making across diverse applications ranging from anomaly detection in industrial settings to wildlife tracking for conservation efforts.
Matthew Stewart, Yuke Zhang, Pete Warden, Yasmine Omri, Shvetank Prakash, Jacob Huckelberry, Joao Henrique Santos, Shawn Hymel, Benjamin Yeager Brown, Jim MacArthur, Nat Jeffries, Emanuel Moss, Mona Sloane, Brian Plancher, Vijay Janapa Reddi   +14 more
wiley   +1 more source

Optimal energy management of water networks under quality conditions

International Transactions in Operational Research, Volume 33, Issue 2, Page 926-951, March 2026.
Abstract In the context of sustainability, which has become fundamental today, we aim to optimize (reduce) the energy consumption due to the use of pumps that bring water from all the different reservoirs to the nodes of the distribution network. The proposed model allows us, thanks to the use of smart meters and new 5G technologies, to determine the ...
Gabriella Colajanni, Daniele Sciacca, Letizia Paone   +2 more
wiley   +1 more source

Exposing and Reducing Biases of Simulating Mixed‐Phase Clouds in the Convection‐Permitting E3SM Atmosphere Model: Lessons From an Arctic Cold‐Air Outbreak

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 3, 16 February 2026.
Abstract Mixed‐phase clouds modulate the water and energy cycles of high‐latitude regions, yet their liquid‐ice phase partitioning has long been poorly simulated in climate models. Here, simulations of Arctic mixed‐phase clouds by the Simple Cloud‐Resolving E3SM Atmosphere Model (SCREAM) are assessed against large‐eddy simulations, satellite data, and ...
Lin Lin, Yunyan Zhang, Hassan Beydoun, Xue Zheng, Meng Zhang, Peter Bogenschutz, Peng Wu, Peter M. Caldwell   +7 more
wiley   +1 more source

A Chebyshev Polynomial‐Based Wind Speed Profile Characterization Framework: Applications in Mesoscale Model Evaluation

Wind Energy, Volume 29, Issue 2, February 2026.
ABSTRACT This study presents a polynomial‐based wind speed profile characterization framework that approximates full vertical profiles using five physically meaningful Chebyshev polynomial coefficients. The framework captures key morphological features of wind profiles, including mean wind speed, vertical shear, curvature, inflection‐related behavior ...
Harish Baki, Sukanta Basu
wiley   +1 more source

Identification of Key Factors Driving Dissolved Oxygen in Riparian Aquifers Through Deep Learning‐Assisted Global Sensitivity Analysis

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract We rely on a global sensitivity analysis (GSA) approach to identify the dominant physical and biogeochemical controls on dissolved oxygen (DO) dynamics in riparian aquifers. The study is motivated by the observation that availability of DO is key to regulating redox conditions and associated processes in the subsurface.
Heng Dai, Yijie Yang, Fangqiang Zhang, Alberto Guadagnini, Jing Yang, Xiaochuang Bu, Lunche Wang, Songhu Yuan, Ming Ye   +8 more
wiley   +1 more source

Inside Out: The Influence of Identity, Context and Time on Faculty Motivation and Engagement

The Clinical Teacher, Volume 23, Issue 1, February 2026.
ABSTRACT Introduction Understanding why faculty engage in medical education is critical because it illuminates how to sustain faculty motivation and engagement. This study uses self‐determination theory (SDT) and practice theory to examine how faculty perceptions of their own competence, autonomy and relatedness evolve as external perceptions of skills,
Kerri Shaffer, Sara M. Lamb, Candace J. Chow   +2 more
wiley   +1 more source

Precipitation Biases Over the Southern Ocean in CMIP6, Reanalyses and Satellite‐Based Products

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 2, 28 January 2026.
Abstract A set of gridded, satellite‐based, precipitation products has been used to assess the performance of 46 Coupled Model Intercomparison Project (CMIP6) atmospheric‐only simulations and 5 reanalyses over the Southern Ocean (SO) on daily timescales, in terms of total precipitation and variance, frequency and intensity of wet days, and seasonal ...
Joaquín E. Blanco, Steven T. Siems, Lisa V. Alexander   +2 more
wiley   +1 more source

Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations

Frontiers in Remote Sensing
The primary ocean color product is the spectrum of remote sensing reflectance RRS that allows the quantification of in-water optically significant constituents and all ocean color applications.
Frédéric Mélin, Ilaria Cazzaniga, Pietro Sciuto   +2 more
doaj   +1 more source

Impacts of Atmospheric Rivers in Central Greenland: Snowfall, Clouds, and Atmospheric State

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 2, 28 January 2026.
Abstract Atmospheric rivers (ARs) are long bands of strong horizontal water vapor transport responsible for over 90% of total integrated vapor transport (IVT) in extratropical and polar regions. Using a 12‐year record (2010–2022) of ground‐based remote sensing, radiosonde, snow stake, and reanalysis data from Summit Station, Greenland, we quantify the ...
A. E. Wedum, C. Pettersen, H. Guy, M. R. Gallagher, M. D. Shupe, K. S. Mattingly   +5 more
wiley   +1 more source

Spatiotemporal Assessment of the TEMPO Formaldehyde Column Retrieval Using the Pandonia Global Network

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 2, 28 January 2026.
Abstract Launched in April 2023, the Tropospheric Emissions: Monitoring of Pollution (TEMPO), instrument provides for the first time hourly measurements of atmospheric pollutants over most of North America at high spatial resolution (∼2 × 4.75 km2).
Prajjwal Rawat, Katherine R. Travis, Barron Henderson, James H. Crawford, Laura M. Judd, Mary Angelique G. Demetillo, Tabitha C. Lee, David E. Flittner, James J. Szykman, Lukas C. Valin, Andrew Whitehill, Eric Baumann, Thomas F. Hanisco, Apoorva Pandey, Gonzalo Gonzalez Abad, Caroline R. Nowlan, Xiong Liu, Kelly Chance   +17 more
wiley   +1 more source