Results 171 to 180 of about 7,210 (250)

Wind Turbine Blade Crack Detection and Assessment in Images Using Machine Learning

open access: yesWind Energy, Volume 29, Issue 9, September 2026.
ABSTRACT As the wind energy industry matures, inspection of wind turbine blades (WTBs) is shifting from a manual process involving rope access and grading of damage, towards unmanned aerial vehicle (UAV) photography and artificial intelligence‐aided processing of data.
Callum Rothon   +2 more
wiley   +1 more source

River Sand and Gravel Mining: Global Drivers, Impacts, and Pathways for Sustainable Management

open access: yesReviews of Geophysics, Volume 64, Issue 3, September 2026.
Abstract River sand and gravel are mined worldwide at volumes that now rival their natural replenishment, yet quantitative knowledge of this mining activity and its consequences lags far behind many other global environmental pressures. We synthesize 411 peer‐reviewed studies published since 1974 within a new Driver‐to‐Management Pathway for ...
Edward Park   +25 more
wiley   +1 more source

Satellite‐Based Fishing Fleet Tracking: A New Foundation for Fisheries Science and Management

open access: yesFish and Fisheries, Volume 27, Issue 5, Page 1134-1150, September 2026.
ABSTRACT Satellite‐based vessel‐tracking technologies have ushered in a new era for monitoring fishing activity at scale. By combining artificial intelligence (AI) methods with remotely‐sensed data, researchers can now detect, classify and analyse fishing behaviour across vast and previously unobservable ocean regions.
Jennifer Raynor, Tai Lohrer
wiley   +1 more source

Organizational Soundscapes and the Sonicity of Voices: The Power of the ‘Sounds’ that Carry ‘Words’

open access: yesJournal of Management Studies, Volume 63, Issue 6, Page 2305-2331, September 2026.
Abstract Organizations are soundscapes – they resonate with sounds and particularly the sounds of voices. Somehow however voice sonics, that is the sounds of voices and not the words carried on those sounds, have escaped attention in management studies. This absence of analysis is peculiar given voice sonics' undoubted influence on management (they may
Nancy Harding, Jackie Ford
wiley   +1 more source

Adaptive Stability of Unmanned Surface Vehicle

open access: yesInternational Journal of Electrical and Electronics Engineering, 2021
openaire   +1 more source

From Competition to Compartmentalization: Rethinking Türkiye‐Gulf Relations

open access: yesMiddle East Policy, Volume 33, Issue 3, Autumn (Fall) 2026.
Abstract For nearly a decade following the Arab uprisings, relations between Ankara and key Gulf capitals were marked by intense rivalry and proxy contestation across several regional arenas, notably in Egypt and Syria. Why did relations shift toward pragmatic cooperation after such prolonged polarization?
Betul Dogan‐Akkas
wiley   +1 more source

Design and Development of an Unmanned Surface Vehicle

open access: yes
The project addresses the urgent challenge of plastic pollution in confined water bodies through the development of a specialized Unmanned Surface Vehicle (USV) for efficient debris collection. Employing a catamaran-inspired design featuring PVC hulls and a modular debris collection system, the USV combines buoyancy with effective debris capture ...
R, Suchendra K   +4 more
openaire   +1 more source

The Türkiye‐Qatar Partnership: From Ottoman Roots to Strategic Alliance

open access: yesMiddle East Policy, Volume 33, Issue 3, Autumn (Fall) 2026.
Abstract As Qatar, a small country in a strategic location, faced a pressure campaign from Gulf states in 2017, Türkiye expanded its military presence and provided support that proved crucial to Doha's ability to overcome the crisis. This demonstrated Türkiye's new grand strategy, its capacity to project influence into the Gulf, and its status as a ...
Ismail Köse, Fatma Alghussein
wiley   +1 more source

A Deep‐Learning‐Based Wind Gust Estimation Scheme in Complex Terrain

open access: yesGeophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Accurate prediction of gusts is critical for risk mitigation, but the turbulent processes that generate gusts are unresolved in conventional numerical weather prediction models. Here we introduce a deep‐learning‐based wind gust estimation scheme (DL‐GUST) that uses archived diagnostics from the Weather Research and Forecasting (WRF) model ...
Aiwei Li   +6 more
wiley   +1 more source

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