Results 31 to 40 of about 3,790,217 (289)
Self-Cleaning Cement-Based Building Materials
Buildings, 2022 The modern rhythm of human life leads to well-known problems, which are air, water and soil pollution and climate warming. An increase in the power of industries and vehicles leads not only to atmospheric pollution by-products of incomplete fuel ...
Azariy Lapidus +5 more
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Critical Points Extraction from Building Façades by Analyzing Gradient Structure Tensor
Remote Sensing, 2021 This paper proposes a building façade contouring method from LiDAR (Light Detection and Ranging) scans and photogrammetric point clouds. To this end, we calculate the confidence property at multiple scales for an individual point cloud to measure the ...
Dong Chen +6 more
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Frontiers in Sports and Active Living, 2021 The aim of this study was to investigate the influence of slope and speed on lower-limb kinematics and energy cost of running. Six well-trained runners (VO2max 72 ± 6 mL·kg−1·min−1) were recruited for the study and performed (1) VO2max and energy cost ...
David Sundström +2 more
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Fractal and Fractional, 2023 The composition H(z)=f(Φ(z)) is studied, where f is an entire function of a single complex variable and Φ is an entire function of n complex variables with a vanished gradient.
Andriy Bandura +2 more
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Talc, ovarian cancer, and recall bias in the sister study
Global EpidemiologyO'Brien et al. [6] reported on the patterns and reliability of self-reported talc use in the Sister Study, a US-based prospective cohort study of women aged 35–74 who had a sister with a history of breast cancer.
Julie E. Goodman +2 more
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On applicability of mathematical scaling and normalization in applied problem solving
Advanced Engineering Research, 2018 Introduction. The applicability of mathematical scaling and normalization in solving various applied problems is analyzed. The best known formulas often used along the theoretical and experimental studies are considered.
A. I. Dolgov, D. V. Marshakov
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Generalized Stochastic Gradient Learning [PDF]
, 2005 We study the properties of generalized stochastic gradient (GSG) learning in forwardlooking models. We examine how the conditions for stability of standard stochastic gradient (SG) learning both di1er from and are related to E-stability, which governs ...
Evans, George W. +2 more
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A Gradient-Based Particle-Bat Algorithm for Stochastic Configuration Network
Applied Sciences, 2023 Stochastic configuration network (SCN) is a mathematical model of incremental generation under a supervision mechanism, which has universal approximation property and advantages in data modeling. However, the efficiency of SCN is affected by some network
Jingjing Liu, Yefeng Liu, Qichun Zhang
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Passive Control of Silane Diffusion for Gradient Application of Surface Properties
Micromachines, 2021 Liquid lithography represents a robust technique for fabricating three-dimensional (3D) microstructures on a two-dimensional template. Silanization of a surface is often a key step in the liquid lithography process and is used to alter the surface energy
Riley L. Howard +5 more
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Rigidity of asymptotically conical shrinking gradient Ricci solitons [PDF]
, 2013 We show that if two gradient Ricci solitons are asymptotic along some end of each to the same regular cone, then the soliton metrics must be isometric on some neighborhoods of infinity of these ends. Our theorem imposes no restrictions on the behavior of
Brett Kotschwar +2 more
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