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Metabolism and Vascular Diseases
  • Language: en
  • Pages: 144

Metabolism and Vascular Diseases

None

Proceedings of the 5th China and International Young Scientist Terahertz Conference, Volume 1
  • Language: en
  • Pages: 303
Computer Vision – ECCV 2024
  • Language: en
  • Pages: 579

Computer Vision – ECCV 2024

None

Insights in integrative physiology: 2021
  • Language: en
  • Pages: 307

Insights in integrative physiology: 2021

None

AHA Scientific Sessions 2019 - Final Program
  • Language: en
  • Pages: 1017

AHA Scientific Sessions 2019 - Final Program

The American Heart Association’s Scientific Sessions 2019 is bringing big science, big technology, and big networking opportunities to Philadelphia, Pennsylvania this November. This event features five days of the best in science and cardiovascular clinical practice covering all aspects of basic, clinical, population and translational content.

AHA Scientific Sessions 2016: Program Information
  • Language: en
  • Pages: 1593

AHA Scientific Sessions 2016: Program Information

The American Heart Association’s Scientific Sessions 2016 is bringing big science, big technology, and big networking opportunities to New Orleans, Louisiana this November. This event features five days of the best in science and cardiovascular clinical practice covering all aspects of basic, clinical, population and translational content.

Colloidal Semiconductor Nanocrystals: Synthesis, Properties, and Applications
  • Language: en
  • Pages: 110
Image and Graphics
  • Language: en
  • Pages: 442

Image and Graphics

The five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023. The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality. The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-class plenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations.

Computer Science for Environmental Engineering and EcoInformatics
  • Language: en
  • Pages: 494

Computer Science for Environmental Engineering and EcoInformatics

  • Type: Book
  • -
  • Published: 2011-07-18
  • -
  • Publisher: Springer

This two-volume set (CCIS 158 and CCIS 159) constitutes the refereed proceedings of the International Workshop on Computer Science for Environmental Engineering and EcoInformatics, CSEEE 2011, held in Kunming, China, in July 2011. The 150 revised full papers presented in both volumes were carefully reviewed and selected from a large number of submissions. The papers are organized in topical sections on computational intelligence; computer simulation; computing practices and applications; ecoinformatics; image processing information retrieval; pattern recognition; wireless communication and mobile computing; artificial intelligence and pattern classification; computer networks and Web; computer software, data handling and applications; data communications; data mining; data processing and simulation; information systems; knowledge data engineering; multimedia applications.

Multi-Sensor Imaging and Fusion: Methods, Evaluations, and Applications, volume II
  • Language: en
  • Pages: 208

Multi-Sensor Imaging and Fusion: Methods, Evaluations, and Applications, volume II

Multi-sensor image fusion focuses on processing images of the same object or scene acquired by multiple sensors, in which various sensors with multi-level and multi-spatial information are complemented and combined to ultimately yield a consistent interpretation of the observed environment. In recent years, multi-sensor image fusion has become a highly active topic, and various fusion methods have been proposed. Many effective processing methods, including multi-scale transformation, fuzzy inference, and deep learning, have been introduced to design fusion algorithms. Despite the great progress, there are still some noteworthy challenges in the field, such as the lack of unified fusion theories and methods for effective generalized fusion, the lack of fault tolerance and robustness, the lack of benchmarks for performance evaluation, the lack of work on specific applications of multi-sensor image fusion, and so on.