: 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.
: 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 zip
: 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 Saroha has co-authored review papers focusing
: 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 This work utilizes the YOLO (You Only Look
Ritika-a/Detection-of-Objects-in-a-Tunnel-Using-Deep-Learning
: Several GitHub repositories from educators like Ritika Giri provide downloadable ZIP archives containing instructional materials for package management and reusable code in R.
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