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Ritika-a/Detection-of-Objects-in-a-Tunnel-Using-Deep-Learning

: A specific project file often cited as "DATS 6501 - Capstone Project - Ritika Agarwal.zip" contains research on Detection of Objects in a Tunnel Using Deep Learning . This work utilizes the YOLO (You Only Look Once) architecture and Darkflow to process visual data. Ritika zip

: Ritika Verma has published research on the extraction and forensic analysis of video files sent through messaging apps like WhatsApp and Telegram. Other Technical Contexts Other Technical Contexts : Several GitHub repositories from

: Several GitHub repositories from educators like Ritika Giri provide downloadable ZIP archives containing instructional materials for package management and reusable code in R. Ritika zip

: A paper titled "Conceptual Framework Strategies for Image Compression: A Review" features Ritika as a co-author and evaluates modern strategies for reducing image file sizes.

: Ritika Saroha has co-authored review papers focusing on image segmentation algorithms such as K-means, which are fundamental to the compression and analysis tasks found in these projects.

Ritika-a/Detection-of-Objects-in-a-Tunnel-Using-Deep-Learning

: A specific project file often cited as "DATS 6501 - Capstone Project - Ritika Agarwal.zip" contains research on Detection of Objects in a Tunnel Using Deep Learning . This work utilizes the YOLO (You Only Look Once) architecture and Darkflow to process visual data.

: Ritika Verma has published research on the extraction and forensic analysis of video files sent through messaging apps like WhatsApp and Telegram. Other Technical Contexts

: Several GitHub repositories from educators like Ritika Giri provide downloadable ZIP archives containing instructional materials for package management and reusable code in R.

: A paper titled "Conceptual Framework Strategies for Image Compression: A Review" features Ritika as a co-author and evaluates modern strategies for reducing image file sizes.

: Ritika Saroha has co-authored review papers focusing on image segmentation algorithms such as K-means, which are fundamental to the compression and analysis tasks found in these projects.