Publish with us
Search for Articles:

Information Menu

Journal Browser

View All

Topaz+video+enhance+ai+v264+x64+prenosni+kr+exclusive - Fix

The Open Journal of Mathematical Sciences (OMS) ISSN: 2523-0212 (Online) | 2616-4906 (Print) is partially supported by the National Mathematical Society of Pakistan, is a single-blind peer-reviewed and open-access journal dedicated to publishing original research articles, review papers, and survey articles in all areas of mathematics.

  • Diamond Open Access: OMS follows the Diamond Open Access model—completely free for both authors and readers, with no article processing charges (APCs).
  • Rapid Publication: Accepted papers are published online as soon as they are ready, ensuring timely dissemination of research findings.
  • Scope: The journal welcomes high-quality contributions across all branches of mathematics, offering a broad platform for scholarly exchange.
  • Publication Frequency: While articles are available online throughout the year, OMS publishes one annual print volume in December for readers who prefer physical copies
  • Indexing: Scopus, ROAD, J-Gate Portal, AcademicKeys, Crossref (DOI prefix: 10.30538), Scilit, Directory of Research Journals Indexing.
  • Publisher: Ptolemy Scientific Research Press (PSR Press), part of the Ptolemy Institute of Scientific Research and Technology.

Latest Published Articles

Topaz Video Enhance AI v2.6.4 represents a significant milestone in the evolution of AI-driven video restoration. While Topaz Labs has since moved toward the unified "Topaz Video AI" branding (versions 3.x and above), version 2.6.4 remains a highly sought-after legacy release for many users due to its specific AI model performance and streamlined interface. This version is particularly noted for its ability to breathe new life into low-resolution footage, turning blurry SD content into sharp 4K or even 8K video using machine learning.

: Unlike traditional upscaling that just "stretches" pixels, this software uses neural networks to predict missing details, allowing you to turn SD footage into crisp 4K or even 8K resolution.

Topaz Video Enhance AI is a powerful video editing tool designed to enhance video quality using artificial intelligence. It's particularly useful for upscaling footage, reducing noise, and improving overall video quality without requiring extensive technical knowledge.

: An NVIDIA GTX 900 or higher (with at least 4GB VRAM) or equivalent AMD/Intel hardware.

: Increasing video resolution (e.g., SD to 4K) using machine learning to "fill in" missing pixels.

Submit Manuscript
Open Journal of Mathematical Sciences OMS - Cover

Special Issues

The PSR Press Office warmly invites scholars, researchers, and experts to propose and guest edit Special Issues on topics of significance to the scientific community.

Read more

Propose a Special Issue

News

Topaz+video+enhance+ai+v264+x64+prenosni+kr+exclusive - Fix

Topaz Video Enhance AI v2.6.4 represents a significant milestone in the evolution of AI-driven video restoration. While Topaz Labs has since moved toward the unified "Topaz Video AI" branding (versions 3.x and above), version 2.6.4 remains a highly sought-after legacy release for many users due to its specific AI model performance and streamlined interface. This version is particularly noted for its ability to breathe new life into low-resolution footage, turning blurry SD content into sharp 4K or even 8K video using machine learning.

: Unlike traditional upscaling that just "stretches" pixels, this software uses neural networks to predict missing details, allowing you to turn SD footage into crisp 4K or even 8K resolution. topaz+video+enhance+ai+v264+x64+prenosni+kr+exclusive

Topaz Video Enhance AI is a powerful video editing tool designed to enhance video quality using artificial intelligence. It's particularly useful for upscaling footage, reducing noise, and improving overall video quality without requiring extensive technical knowledge. Topaz Video Enhance AI v2

: An NVIDIA GTX 900 or higher (with at least 4GB VRAM) or equivalent AMD/Intel hardware. : Unlike traditional upscaling that just "stretches" pixels,

: Increasing video resolution (e.g., SD to 4K) using machine learning to "fill in" missing pixels.