Hosted on MSN

Blender Basic Modeling Tutorial - Simple Puppy #oe300

#OctopusEffects, #Blender tutorial to model a cute puppy with Modifier in Blender 3.3 Timestamp 00:00 Introduction 00:10 Body 00:46 Nose 02:09 Tongue 03:36 Ears 05:32 Cheeks 06:13 Eyes 07:01 Setup ...
Scientific Research Publishing

Kim, S., An, D. and Choi, J. (2020) Diagnostics 101: A Tutorial for Fault Diagnostics of Rolling Element Bearing Using Envelope Analysis in MATLAB. Applied Sciences, 10 ...

ABSTRACT: Rolling element bearings are commonly used in rotating machines to transmit rotation and power. On the other hand, bearing faults could be the most common reason for machinery imperfections.
IEEE

Soter: Analytical Tensor-Architecture Modeling and Automatic Tensor Program Tuning for Spatial Accelerators

Abstract: Spatial accelerator is a specialized hardware to provide noticeable performance speedup for tensor computations. It also brings a challenge to map tensor computations on spatial accelerators ...
GitHub

Spectral vs. Fourier Neural Operators in Parametric PDE Modeling: Analysis and Experiments

This repository contains the official source code for the paper "Spectral vs. Fourier Neural Operators in Parametric PDE Modeling: Analysis and Experiments". This project conducts a systematic ...
JSTOR Daily

Bayesian Additive Adaptive Basis Tensor Product Models for Modeling High Dimensional Surfaces: An Application to High-Throughput Toxicity Testing

Many modern datasets are sampled with error from complex high-dimensional surfaces. Methods such as tensor product splines or Gaussian processes are effective and ...
C&EN

Molecular Structure Refinement Based on Residual Dipolar Couplings: A Comparison of the Molecular Rotational-Sampling Method with the Alignment-Tensor Approach

Department of Chemistry, Inorganic Chemistry Laboratory, University of Oxford, South Parks Road, Oxford OX1 3QR, U.K. Article Views are the COUNTER-compliant sum of full text article downloads since ...
IEEE

A Novel Tensor-Based Hyperspectral Image Restoration Method With Low-Rank Modeling in Gradient Domains

Abstract: The hyperspectral image (HSI) is easily contaminated by various kinds of mixed noise (such as Gaussian noise, impulse noise, stripes, and deadlines) during the process of data acquisition ...