Results 51 to 60 of about 6,822,119 (311)

Probabilistic Smoothing Based Generation of a Reliable Lane Geometry Map With Uncertainty of a Lane Detector

open access: yesIEEE Access, 2020
Since lane geometry information can be used for controlling the pose of an intelligent vehicle, a lane geometry map that contains the lane geometry information should have reliable accuracy. For generating the reliable lane geometry map, lane curve which
Seokwon Kim   +3 more
doaj   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

open access: yesFEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Thermodynamic geometry of three-dimensional Einstein–Maxwell-dilaton black hole

open access: yesEuropean Physical Journal C: Particles and Fields, 2018
The thermodynamics of a three-dimensional Einstein–Maxwell-dilaton black hole is investigated using the method of thermodynamic geometry. According to the definition of thermodynamic geometry and the first law of the black hole, two-dimensional Ruppeiner
Xin-Yang Wang, Ming Zhang, Wen-Biao Liu
doaj   +1 more source

Lossy Point Cloud Geometry Compression via End-to-End Learning [PDF]

open access: yesIEEE transactions on circuits and systems for video technology (Print), 2019
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (a.k.a., Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based Variational AutoEncoder (VAE) to efficiently compress the Point Cloud Geometry (PCG).
Jianqiang Wang   +3 more
semanticscholar   +1 more source

A Generalized Hausdorff Distance Based Quality Metric for Point Cloud Geometry [PDF]

open access: yesInternational Workshop on Quality of Multimedia Experience, 2020
Reliable quality assessment of decoded point cloud geometry is essential to evaluate the compression performance of emerging point cloud coding solutions and guarantee some target quality of experience.
Alireza Javaheri   +3 more
semanticscholar   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression [PDF]

open access: yesInternational Conference on Information Photonics, 2019
Efficient point cloud compression is fundamental to enable the deployment of virtual and mixed reality applications, since the number of points to code can range in the order of millions. In this paper, we present a novel data-driven geometry compression
Maurice Quach, G. Valenzise, F. Dufaux
semanticscholar   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

open access: yesFEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li   +2 more
wiley   +1 more source

PointGeo: Geometry Transformer for Point Cloud Analysis

open access: yesCAAI Transactions on Intelligence Technology
Point cloud processing plays a crucial role in tasks such as point cloud classification, partial segmentation and semantic segmentation. However, existing processing frameworks are constrained by several challenges, such as recognising features in ...
Li An   +5 more
doaj   +1 more source

Point derivation of partial geometries

open access: yesEuropean Journal of Combinatorics, 2003
The author generalizes a method for constructing partial quadrangles from generalized quadrangles. See \textit{F. De Clerck} and \textit{H. Van Maldeghem} [in Handbook of incidence geometry: buildings and foundations, 433--475 (1995; Zbl 0823.51010)] for the method and nomenclature.
openaire   +1 more source

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