Abstract: This study focuses on enhancing the accuracy and efficiency of semantic analysis systems for recognizing moving objects within video sequences. The primary aim is to improve object detection ...

It’s frustrating when you follow the SEO playbook perfectly—identifying keywords, writing long-form guides—only to see your ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Whether or not Google uses latent semantic indexing (LSI) and LSI keywords in its ranking algorithm is debated among SEOs. Google representatives have publicly stated that Google does not use LSI ...

Semantics-driven static analysis could be used to improve the safety, correctness, and performance of Unix, Linux, and macOS shell scripts, researchers say. Semantics-driven static analysis is being ...

Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly ...

Abstract: We introduce VisualSAF, a novel Visual Semantic Analysis Framework designed to enhance the understanding of contextual characteristics in Visual Scene Analysis (VSA) tasks. The framework ...

Extracting insights from text columns can be challenging and time-intensive. Existing methods for topic modeling and feature extraction are based on syntactic features and often overlook the semantics ...

Background: This meta-analysis investigates the role of specific brain regions in semantic control processes using Transcranial Magnetic Stimulation (TMS). According to the Controlled Semantic ...

Meta descriptions are crucial in shaping how search engines and users perceive your content. While meta descriptions don’t directly impact search rankings, they can significantly influence user ...