id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3637	Preeti Dudhe	Design of an Integrated Model with Contrastive Predictive Coding and Model-Agnostic Meta-Learning for Adaptive and Explainable Mobile Forensic Analysis	2025	18	.pdf	application/pdf	7486	384	43	Embedding Dimension 3 Call Log Frequency 0.76 0.45 0.62 Message Sentiment 0.89 0.54 0.48 Location Patterns 0.67 0.83 0.59 In summary, the CPC embedding shows how well the model can capture good representations about sequential data by extracting strong temporal dependencies within mobile forensic data samples. An integrated view emerges that shows that these approaches are not only critical for adapting to the growing complexity of forensic data but also for enhancing accuracy, scalability, and interpretability in forensic analysis.	cache/cana-3637.pdf	txt/cana-3637.txt