YouTube on MSN

How to make low poly Tree in Blender for beginners - 164

This is quick tutorial to using Blender to model 3D low poly tree. Tutorial for step by step for beginner. Timestamp 00:00 ...
YouTube on MSN

How to create low poly flower - Blender tutorial - 181

Tutorial about creating a Low Poly Flower in Blender 2.9 00:00 Introduction 00:18 Create Petals 02:43 Calyx, pistil, and ...
ArchDaily

Best Practices: Custom Asset Library

Included in the Enscape 2.9 release is the Custom Asset Library. A feature requested by many within the Enscape Community, users can now add bespoke models to create unique design experiences. How to ...
IEEE

High-Frequency Electromagnetic Behavior, Impedance Modeling, and Enhancement of Low-Permeability Powder Cores

Abstract: In the high-frequency (HF) and high-power domain, powder cores have garnered significant attention due to their high saturation levels and low temperature sensitivity. Accurate modeling of ...
IEEE

A Tutorial on Holographic MIMO Communications—Part I: Channel Modeling and Channel Estimation

Abstract: By integrating a nearly infinite number of reconfigurable elements into a finite space, a spatially continuous array aperture is formed for holographic multiple-input multiple-output (HMIMO) ...
Oak Ridge National Lab

A segmented approach to modeling building height: Delineating high-rise and low-rise buildings for enhanced height estimation

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for ...
GitHub

Flow-based TTS with Robust Alignment Learning, Diverse Synthesis, and Generative Modeling and Fine-Grained Control over of Low Dimensional (F0 and Energy) Speech Attributes.

This repository contains the source code and several checkpoints for our work based on RADTTS. RADTTS is a normalizing-flow-based TTS framework with state of the art acoustic fidelity and a highly ...
GitHub

WGAST: Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion

WGAST (Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion) is a novel deep learning framework for spatio-temporal fusion of satellite ...