Results 51 to 60 of about 408 (102)
Abstract Reanalysis products and global climate models are the foundation of weather and climate prediction; however, they encounter challenges in capturing the spatiotemporal changes of near‐surface wind speed (NSWS) in a topographically complex area. Based on deep learning with ERA5 variables, the changes in NSWS were well captured across the Tibetan
Zhiyi Long +10 more
wiley +1 more source
Friction Stir Additive Manufacturing (FSAM) is a developing technique classified under sheet lamination additive manufacturing. Research on FSAM has been conducted with various aluminum alloys, ranging from 2XXX to 7XXX series.
Prabhakar D A P +4 more
doaj +1 more source
Abstract Maize (Zea mays L.) ear rots are common diseases in maize production and result in severe yield reduction and mycotoxin contamination in Ethiopia. Mycotoxins are a serious, multifaceted economic problem, and maize is one of the major crops most commonly affected by mycotoxins.
Temesgen Deressa Hunde
wiley +1 more source
Associations between the FSAm-NPS DI and cancer risk (total cancer and specific cancer types), from multivariable Cox proportional hazards models, EPIC cohort, 1992–2014.
Petra H. Peeters (748062) +55 more
core +1 more source
Self-assembled monolayer (SAM)-functionalized substrates are widely used for tailoring the electronic properties (i.e., p- and n-type doping) of two-dimensional materials, which might suppress the charge scattering, impurities, and wrinkles that can ...
Shih-Ming He +7 more
core +1 more source
This review examines the distinctions between metallic alloys fabricated using friction stir techniques in additive manufacturing, focusing on friction stir additive manufacturing (FSAM) and additive friction stir deposition (AFSD) of aluminium ...
Yaknesh S +7 more
doaj +1 more source
Systemic risk and macro-financial interconnectedness using an FSAM framework [PDF]
[EN] Weprovide a general framework to assess the traceability of systemic risk and macro interconnectedness to understand the financial risk transmissions channels.
Hernández Perdomo, Elvis +2 more
core +1 more source
Adaptive Focusing Multi‐Scale Feature Network for Pinning Defect Detection in Transmission Lines
In this paper, the Adaptive Focusing Multi‐Scale Feature Network (AFMFNet model) is proposed for the pin defect detection problem in transmission line inspection. The model enhances the feature extraction capability of irregular targets by Path‐Interleaved Deformation Convolution (PIDC), constructs Small Target Enhanced Pyramid (STEP) to realise multi ...
Guoxiang Hua +5 more
wiley +1 more source
BMF‐SDFormer is a novel model for insulator defect detection, featuring the BMFE backbone for efficient multi‐scale feature extraction and the SDFA module with dual‐domain attention to enhance small target feature fusion. It achieves state‐of‐the‐art performance (93.8% mAP50) on the IFDD dataset, outperforming existing methods in accuracy and ...
Tianqi Wang +5 more
wiley +1 more source
Associations between the FSAm-NPS DI and cancer risk (total cancer and specific cancer types) by sex strata, from multivariable Cox proportional hazards models, EPIC cohort, 1992–2014.
Petra H. Peeters (748062) +55 more
core +1 more source

