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Computer Vision – ECCV 2024
  • Language: en
  • Pages: 583

Computer Vision – ECCV 2024

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Computer Vision – ECCV 2024
  • Language: en
  • Pages: 571

Computer Vision – ECCV 2024

None

Computer Vision – ECCV 2024
  • Language: en
  • Pages: 540

Computer Vision – ECCV 2024

None

Computer Vision – ECCV 2020
  • Language: en
  • Pages: 861

Computer Vision – ECCV 2020

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Computer Vision – ECCV 2018
  • Language: en
  • Pages: 891

Computer Vision – ECCV 2018

  • Type: Book
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  • Published: 2018-10-06
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  • Publisher: Springer

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.

Renewable Energy Technologies for Energy Efficient Sustainable Development
  • Language: en
  • Pages: 410

Renewable Energy Technologies for Energy Efficient Sustainable Development

The depletion of fossil fuel reserves and concerns for environmental degradation due to the fossil fuel burning have led the scientific community to look for alternative renewable energy sources. Among the available renewable energy sources, bioenergy derived from biomass and waste resources have great potential to not only prevent environmental pollution but also be a carbon neutral energy source. In addition, adaptation of this technology could streamline new green products, alternative energy sources into real-world applications and promote a circular economy towards zero-waste approach. This book tries to bridge the existing knowledge gap in the area of bioenergy resources. The first two...

Computer Vision – ECCV 2022
  • Language: en
  • Pages: 801

Computer Vision – ECCV 2022

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Journal of the Physical Society of Japan
  • Language: en
  • Pages: 710

Journal of the Physical Society of Japan

  • Type: Book
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  • Published: 2011
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  • Publisher: Unknown

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Catalytic Transformations of Sustainable and Versatile Furanic Chemicals
  • Language: en
  • Pages: 290

Catalytic Transformations of Sustainable and Versatile Furanic Chemicals

  • Type: Book
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  • Published: 2024-12-03
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  • Publisher: CRC Press

Diminishing confined fossil resources has spurred the scientific community to strive for alternative, sustainable resources, such as terrestrial biomass, which can potentially substitute fossil-based derivatives. Lignocellulosic biomass is deemed an indispensable carbon source for meeting industrial and social demands regarding energy/fuels and chemicals. Over the past decade, significant advances have been shown in developing a broad spectrum of high-value chemicals and functional materials derived from biomass-based substrates. In connection with this, furanic chemicals, such as 5-hydroxymethylfurfural (HMF) and furfural, have recently received considerable attention due to their potential...