Results 221 to 230 of about 43,155 (280)

A Field Guide for Soil Erosion Risk Assessment in Olive Orchards Across Mediterranean Conditions for End‐Users and Stakeholders

Land Degradation &Development, EarlyView.
ABSTRACT Soil erosion control poses a crucial challenge to the sustainability of Mediterranean olive groves. To facilitate field‐level decision‐making, we have developed a field guide oriented to use in any type of olive orchard across the Mediterranean.
I. Domenech‐Carretero, G. Guzmán, M. A. Soriano, J. Montoliu, J. A. Gómez   +4 more
wiley   +1 more source

Explainable machine learning to predict root biomass of field crops using UAV multispectral data. [PDF]

Front Plant Sci
Shan R, Wang G, Jia S, Liang X, Li F, Zhang W.   +5 more
europepmc   +1 more source

A machine learning assisted method for rapidly annotating benthic megafauna in large volumes of marine imagery

Limnology and Oceanography: Methods, EarlyView.
Abstract Recent technological advancements have rapidly expanded our capacity for collecting image data in the marine environment, but processing images into meaningful ecological metrics remains a manual, time‐consuming, and biased process. This is particularly challenging with electro‐optical cabled imaging systems which generate images at a rate ...
Katharine T. Bigham, Ada Carter
wiley   +1 more source

Safety evaluation of the food enzyme containing metalloendopeptidase and leucyl aminopeptidase activities from the non-genetically modified <i>Aspergillus oryzae</i> strain HBI-POP01. [PDF]

EFSA J
EFSA Panel on Food Enzymes (FEZ), Zorn H, Barat Baviera JM, Bolognesi C, Catania F, Gadermaier G, Greiner R, Mayo B, Mortensen A, Roos YH, Solano MLM, Van Loveren H, Vernis L, Criado A, Aguilera J, Andryszkiewicz M, Cavanna D, Fernández-Fraguas C, di Piazza G, Liu Y.   +19 more
europepmc   +1 more source

3D Surface Profiling via Direct End‐to‐End Regression With a Photonic Geometric Sensor

Laser &Photonics Reviews, EarlyView.
Measurements of microscale surface patterns are essential for quality control across semiconductor and biomedical industries, yet the development of miniaturized, intelligent systems remains constrained by the complexity and bulkiness of conventional benchtop metrology.
Ziyao Zhang, Yizhi Wang, Chunhui Yao, Huiyu Huang, Rui Ma, Xin Du, Wanlu Zhang, Zhitian Shi, Minjia Chen, Ting Yan, Liang Ming, Yuxiao Ye, Richard Penty, Qixiang Cheng   +13 more
wiley   +1 more source

Deep Arctic Ocean warming enhanced by heat transferred from deep Atlantic. [PDF]

Sci Adv
Song R, Chen X, Bi H, Wang X, Mu L.
europepmc   +1 more source

Machine Learning Design of Tungsten Alloys With Strength–Ductility Synergy

Materials Genome Engineering Advances, EarlyView.
This study integrates machine learning with solid solution softening knowledge to design multielement tungsten alloys with strength‐ductility synergy. ML models identify promising compositions within W‐ Ta ‐ Re system that exhibit pronounced chemical short‐range order, resulting in exceptional mechanical performance. Experimental validation through the
Juan Ding, Jiayi Liu, Jiatao Zhou, Baishan Chen, Yunzhu Ma, Wensheng Liu, Yufeng Huang, Chaoping Liang   +7 more
wiley   +1 more source

Artificial intelligence-driven body surface area (BSA) estimation using computed tomography: Comparative evaluation with existing formulae. [PDF]

Medicine (Baltimore)
Sebro R, Elmahdy M.
europepmc   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source