Results 91 to 100 of about 126,657 (260)
Spline coalescence hidden variable fractal interpolation functions
Journal of Applied Mathematics, 2006 This paper generalizes the classical spline using a new construction of spline coalescence hidden variable fractal interpolation function (CHFIF). The derivative of a spline CHFIF is a typical fractal function that is self-affine or non-self-affine ...
A. K. B. Chand, G. P. Kapoor
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
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Analysis and Approximate Replacement of Tool for Trapezoid Spline Shaft
Jixie chuandong, 2022 The trapezoid spline has the characteristics of good guidance and self-centering， and its application range has been extended to the field of low-speed and high-torque transmission.
Zhigang Cao +8 more
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Spatio-Temporal Measurements of Water-Wave Height and Slope using Laser-Induced Fluorescence and Splines [PDF]
, 2016 K Schwarz
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Advanced Intelligent Systems, EarlyView.This work presents a robot‐assisted Doppler optical coherence tomography system for autonomous, wide‐field intraoperative assessment of microvascular anastomoses. Machine‐vision–guided probe positioning and adaptive scan planning enable three‐dimensional structural and hemodynamic imaging over extended vessel segments.
Xiaochen Li +10 more
wiley +1 more source
Jixie chuandong, 2011 Involute spline is used extensively in mechanical transmission.Connection mode,main standard,selector parameter of involute spline are introduced.Spline parameter calculation software base on AutoCAD is developed by VC++.NET and ObjectARX,which provides ...
张大勇
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Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
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A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
Advanced Intelligent Systems, EarlyView.This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
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Investigation on bending moment capacity of corner joints constructed with spline under diagonal tension and compression [PDF]
Iranian Journal of Wood and Paper Industries, 2018 This study was conducted to evaluate the effects of the penetration depths (8, 11, 14) and material types of spline (high density fiber board (HDF), plywood and hornbeam wood (Carpinus betulus)) composite material types (MDF and particleboard) on bending
kambiz rashedi
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