Results 91 to 100 of about 6,830,142 (327)

Improving Measurement Accuracy of Deep Hole Measurement Instruments through Perspective Transformation

open access: yesSensors
Deep hole measurement is a crucial step in both deep hole machining and deep hole maintenance. Single-camera vision presents promising prospects in deep hole measurement due to its simple structure and low-cost advantages.
Xiaowei Zhao, Huifu Du, Daguo Yu
doaj   +1 more source

Evaluating Functional Diversity: Missing Trait Data and the Importance of Species Abundance Structure and Data Transformation. [PDF]

open access: yesPLoS ONE, 2016
Functional diversity (FD) is an important component of biodiversity that quantifies the difference in functional traits between organisms. However, FD studies are often limited by the availability of trait data and FD indices are sensitive to data gaps ...
Maria Májeková   +13 more
doaj   +1 more source

Unfolding Shape Graphs [PDF]

open access: yes, 2006
Shape graphs have been introduced in [Ren04a, Ren04b] as an abstraction to be used in model checking object oriented software, where states of the system are represented as graphs.
Rensink, A., Sathyanathan, P.W.
core   +1 more source

Adaptive Non-Rigid Inpainting of 3D Point Cloud Geometry

open access: yes, 2018
In this letter, we introduce several algorithms for geometry inpainting of 3D point clouds with large holes. The algorithms are examplar-based: hole filling is performed iteratively using templates near the hole boundary to find the best matching regions
Bajic, Ivan V.   +2 more
core   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

open access: yesMolecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal   +4 more
wiley   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Identification of dominant tree species based on Resource-1 02D hyperspectral image data

open access: yesFrontiers in Earth Science
Fine-grained classification of tree species by using high-spectral image data has garnered considerable attention from scholars. In this study, through field measurements from Maguan County, Wenshan Prefecture, Yunnan Province, China, high-spectral image
Jingchun Zhou   +18 more
doaj   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

open access: yesFEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini   +2 more
wiley   +1 more source

Analysis of the algorythms accuracy of the plane and space geodetic coordinates transformation

open access: yesGeodesy and Cartography, 2012
The accuracy of the coordinates computed by transformation from one system to another is analysed. Values of transformation parameters are computed by the least-square method taking into account the accuracy of the coordinates of the identical points in ...
Jonas Skeivalas, Robertas Dargis
doaj   +1 more source

Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation

open access: yes, 2019
Convolutional neural networks have been widely deployed in various application scenarios. In order to extend the applications' boundaries to some accuracy-crucial domains, researchers have been investigating approaches to boost accuracy through either ...
Bao, Chenglong   +5 more
core   +1 more source

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