Results 231 to 240 of about 371,752 (272)

Data‐Driven Design and Fabrication of Heat‐Resistant, Ultrastrong, Lightweight Aluminum‐Based Entropy Alloy by Additive Manufacturing

Advanced Science, EarlyView.
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang, Chao Ding, Danyang Zhou, Chenjin Xu, Swee Leong Sing, Jianzhong Jiang, Huibin Wu   +6 more
wiley   +1 more source

Attention-guided hybrid learning for accurate defect classification in manufacturing environments. [PDF]

Sci Rep
Kasem MS, Mahmoud M, Senussi MF, Abdalla M, Kang HS.   +4 more
europepmc   +1 more source

Image-based obstacle detection methods for the safe navigation of industrial unmanned aerial vehicles. [PDF]

Sci Rep
Wang L, Shen Y, Li H, Shi Q, Liu S, Chen S, Chen Z, Touti E.   +7 more
europepmc   +1 more source

Matching Multiple Backgrounds: Egg Camouflage Across Different Habitats in a Shorebird. [PDF]

Ecol Evol
Grandón-Ojeda A, Székely T, Kelsh RN, Pérez-Hurtado A, Cuthill IC.   +4 more
europepmc   +1 more source

Rheological analysis in food processing: factors, applications, and future outlooks with machine learning integration. [PDF]

RSC Adv
Chen Y, Zhu H, Feng Y, Wang Y, Wang X, Zhang W, Luo Y.   +6 more
europepmc   +1 more source

The role of texture analysis of T1 weighted images in diagnosis of chronic kidney disease. [PDF]

Sci Rep
Majos M, Klepaczko A, Szychowska K, Stefanczyk L, Kurnatowska I.   +4 more
europepmc   +1 more source

Voxel Normalization in LDCT Imaging: Its Significance in Texture Feature Selection for Pulmonary Nodule Malignancy Classification: Insights from Two Centers. [PDF]

Diagnostics (Basel)
Peng CH, Wu JF, Kuo CJ, Cheng DC.
europepmc   +1 more source

Texture classification using the "Texture Angle Mapper"

, 1999
openaire   +2 more sources

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Wavelet based texture classification

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
Texture are one of the basic features in visual searching and computational vision. In the literature most of the attention has been focussed on the texture features with minimal consideration of the noise models. In this paper, we investigate the problem of texture classification from a maximum likelihood perspective.
Sebe, Niculae, M. S. Lew
openaire   +2 more sources