2026-10-11T12:06:51Z https://data.mendeley.com/oai

oai:data.mendeley.com/h2ttf6wjry.1 2026-09-06T21:55:20Z

CHAVAN, VILAS Research Data and Code for Adaptive Closed-Loop Digital Evidence Acquisition Mendeley Data This dataset contains the computational research data, experimental results, configuration information, analysis outputs, and research prototype code supporting the study “Adaptive Closed-Loop Digital Evidence Acquisition in Dynamic Distributed Evidence Environments: A Prediction-Error-Driven Control Framework.” The materials include results from the principal controlled experiments, integrated ablation experiments, controlled action-competition experiments, and dynamic evidence-topology experiments. The dataset supports examination of prediction-error feedback, acquisition-behaviour adaptation, acquisition-induced disturbance, dynamic topology updating, and subsequent acquisition decisions. The experiments were conducted in a controlled deterministic simulation environment using synthetic representations and do not contain real-world forensic case data, personally identifiable information, or live digital evidence. The materials are provided to support transparency, reproducibility, and independent examination of the reported computational results. Computer Science Digital Forensic Technique Theoretical Digital Forensic Research Dataset doi:10.17632/h2ttf6wjry.1 oai:data.mendeley.com/h2ttf6wjry.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/h2ttf6wjry 2026-09-06T21:55:20Z