Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Aggregates Classification01:29

Aggregates Classification

389
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
389
Classification of Systems-I01:26

Classification of Systems-I

319
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
319
Classification of Systems-II01:31

Classification of Systems-II

242
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
242
Design Example: Sustainability in Concrete Building01:26

Design Example: Sustainability in Concrete Building

229
As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
229

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Clinical phenotypes of type 2 diabetes and their association with microvascular complications in primary care: a cluster analysis.

BMC primary care·2026
Same author

Cognitive Agents in Urban Mobility: Integrating LLM Reasoning into Multi-Agent Simulations.

Sensors (Basel, Switzerland)·2025
Same author

Personalized Cognitive Support via Social Robots.

Sensors (Basel, Switzerland)·2025
Same author

Extending the Framework for Developing Intelligent Virtual Environments (FIVE) with Artifacts for Modeling Internet of Things Devices and a New Decentralized Federated Learning Based on Consensus for Dynamic Networks.

Sensors (Basel, Switzerland)·2024
Same author

Application of Machine Vision Techniques in Low-Cost Devices to Improve Efficiency in Precision Farming.

Sensors (Basel, Switzerland)·2024
Same author

Robust Multi-Sensor Consensus Plant Disease Detection Using the Choquet Integral.

Sensors (Basel, Switzerland)·2023

相关实验视频

Updated: Sep 18, 2025

Scalable Step-by-Step Approach of Sustainable Bioplastic Production from Food Waste
08:14

Scalable Step-by-Step Approach of Sustainable Bioplastic Production from Food Waste

Published on: July 18, 2025

328

可持续回收的AI:对废物分类系统的高效模型优化.

Oriol Chacón-Albero1, Mario Campos-Mocholí1, Cédric Marco-Detchart2

  • 1Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València (UPV), Camino de Vera s/n, 46022 València, Spain.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

这项研究通过使用高效的计算机视觉模型来增强自动化废物分类,以实时提供回收援助. 优化的模型和多样化的数据集提高了准确性,支持循环经济目标,减少垃圾填埋垃圾.

关键词:
聚合功能的聚合功能.图像的分类图像的分类.模型定量化定量化模型回收回收是回收的方法.

更多相关视频

Designed for Molecular Recycling: A Lignin-Derived Semi-aromatic Biobased Polymer
10:22

Designed for Molecular Recycling: A Lignin-Derived Semi-aromatic Biobased Polymer

Published on: November 30, 2020

3.6K
The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties
09:06

The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties

Published on: June 7, 2020

8.2K

相关实验视频

Last Updated: Sep 18, 2025

Scalable Step-by-Step Approach of Sustainable Bioplastic Production from Food Waste
08:14

Scalable Step-by-Step Approach of Sustainable Bioplastic Production from Food Waste

Published on: July 18, 2025

328
Designed for Molecular Recycling: A Lignin-Derived Semi-aromatic Biobased Polymer
10:22

Designed for Molecular Recycling: A Lignin-Derived Semi-aromatic Biobased Polymer

Published on: November 30, 2020

3.6K
The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties
09:06

The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties

Published on: June 7, 2020

8.2K

科学领域:

  • 环境科学 环境科学
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 全球废物量带来了重大的环境挑战,需要先进的回收解决方案.
  • 计算机视觉 (CV) 系统自动识别废物,以提高分类准确度.
  • 焦点正在转向有效的,轻量级的模型,用于移动和边缘设备的部署在废物管理.

研究的目的:

  • 通过提高数据集多样性和模型效率来增强自动化废物识别系统.
  • 为资源有限的设备开发强大的实时回收助手.
  • 通过改进废物分类和材料回收,为循环经济目标做出贡献.

主要方法:

  • 扩展数据集,有有机废物类别和异质图像.
  • 对量子化卷积神经网络 (CNN) 模型进行评估,以减少推理时间.
  • 在各种照明条件下对嵌入式硬件进行整体策略和验证的探索.

主要成果:

  • 量子化CNN模型表明,资源使用减少,推断速度更快.
  • 综合策略提高了废物识别分类性能.
  • 在真实硬件上验证的模型在模拟的照明变化下显示出强度.

结论:

  • 开发了适用于边缘设备的高效,实时的废物分类系统.
  • 为智能垃圾桶和云辅助回收解决方案提出的部署场景.
  • 提高废物分类准确性支持减少垃圾填埋场,公民参与和循环经济目标.