Results 111 to 120 of about 311,988 (313)

Assimilation of European and global Mode‐S aircraft observations into the Met Office global deterministic numerical weather prediction model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
European and global Mode‐S aircraft reports have been assimilated into the Met Office global deterministic numerical weather prediction model, improving forecast accuracy for wind, temperature, and geopotential height. This is the first time global Mode‐S network data have been assimilated, which include data from under‐observed regions, and has ...
Elliott Warren, Warren Tennant, Edmund Stone, Joanne Waller, Christopher Thomas, Adam Maycock   +5 more
wiley   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette, Ryan Honeyager, Stephen Joseph Munchak, Xiaoxu Tian   +3 more
wiley   +1 more source

HOWLish: a CNN for automated wolf howl detection

Remote Sensing in Ecology and Conservation, EarlyView.
Automated detection of wolf howls presents a great opportunity for large‐scale passive acoustic monitoring of wolf populations. Here we present HOWLish, a CNN trained for automated wolf howl detection, based on thousands of hours of soundscapes recorded in the wild.
Rafael Campos, Miha Krofel, Helena Rio‐Maior, Francesco Renna   +3 more
wiley   +1 more source

Sonic Signals and Symbolic “Musical Space”

Sound Stage Screen
Space and music are always already intertwined. But while the two concepts relate to the symbolic order, the time-based (or time-basing) sonic signal rather performs a Möbius loop with “space.” It makes sense, therefore, to clearly differentiate, in the
Wolfgang Ernst
doaj   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source

Koochaki, Nader (2016). Soineko Paisaia / Dorsal Landscape. Beasain

Papeles del CEIC: International Journal on Collective Identity Research, 2019
Andrea Zarza Canova
doaj   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Research students exhibition catalogue 2011 [PDF]

, 2011
The catalogue demonstrates the scope and vibrancy of current inquiries and pays tribute to the creative capacity and investment of UCA research students.
Ayling-Smith, Beverly, Bagley, Kim, Baxter, Gail, Bowen, Sarah, Couzins, Richard, Gulliford, Mathew, Henderson, Phillip, Jessop, Michelle, Lopes, Maria Manuela Carvalho de Sousa, Lovey, Christina, Makryniotis, Thomas, Nolan, Katherine, Price, Judy, Quarini, Carol, Ryland, Susan, Smith, Vicky   +15 more
core   +1 more source

The use of LLMs to annotate data in management research: Foundational guidelines and warnings

Strategic Management Journal, EarlyView.
Abstract Research Summary The emergence of large language models (LLMs) offers new opportunities for AI integration in research, particularly for data annotation and text classification. However, researchers lack guidance on implementation best practices, as the benefits and risks of these tools remain poorly understood.
Natalie A. Carlson, Vanessa Burbano
wiley   +1 more source

The Audiovisual Archive in an Era of Disinformation and Misinformation

VIEW Journal of European Television History and Culture
Audiovisual archives should reflect on their mission and goals in an era of overwhelming computer power. Will they be able to make good use of Large Language Models (LLMs) to unlock archived materials?
Jacqueline Pietsch , in collaboration with the MediaNumeric Team   +1 more
doaj   +1 more source