Tootfinder

An Efficient Digital Watermarking Technique for Small Scale devices
Kaushik Talathi, Aparna Santra Biswas
https://arxiv.org/abs/2506.06691 https://

An Efficient Digital Watermarking Technique for Small Scale devices
In the age of IoT and mobile platforms, ensuring that content stay authentic whilst avoiding overburdening limited hardware is a key problem. This study introduces hybrid Fast Wavelet Transform & Additive Quantization index Modulation (FWT-AQIM) scheme, a lightweight watermarking approach that secures digital pictures on low-power, memory-constrained small scale devices to achieve a balanced trade-off among robustness, imperceptibility, and computational efficiency. The method embeds watermark …

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta, Oshani Seneviratne
https://arxiv.org/abs/2506.01063

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) are reshaping how AI systems extract and organize information from unstructured text. A key challenge is designing AI methods that can incrementally extract, structure, and validate information while preserving hierarchical and contextual relationships. We introduce CDMizer, a template-driven, LLM, and RAG-based framework for structured text transformation. By leveraging depth-based retrieval and hierarchical generation, CDMi…

Real-time processing of distributed acoustic sensing data for earthquake monitoring operations
Ettore Biondi, Gabrielle Tepp, Ellen Yu, Jessie K. Saunders, Victor Yartsev, Michael Black, Michael Watkins, Aparna Bhaskaran, Rayomand Bhadha, Zhongwen Zhan, Allen L. Husker
https://arxiv.org/abs/2505.24077

Real-time processing of distributed acoustic sensing data for earthquake monitoring operations
We introduce a modular software framework designed to integrate distributed acoustic sensing (DAS) data into operational earthquake monitoring systems. Building on the infrastructure of the Advanced National Seismic System (ANSS) and the Southern California Seismic Network (SCSN), which employs the ANSS Quake Monitoring Software (AQMS), our solution supports real-time DAS waveform streaming and machine-learning-based traveltime picking to leverage the dense spatial sampling of DAS arrays. To en…