The exponential growth of global data generation presents critical challenges in storage and transmission. Traditional lossless compression methods, constrained by information entropy, fail to ...
Abstract The exponential growth of digital data necessitates advancements in compression technologies to address storage and transmission challenges. This paper introduces three transformative ...
Abstract: Hyperspectral imaging has been extensively investigated as an emerging, promising technique for multiple domains. Originally derived from remote sensing, this technology now incorporates ...
A complicated card trick that deals with the colors of the cards and a binary De Bruijn cycle has helped a mathematician reach a new bound on data compression. Magic and math, more friendly than you’d ...
Presented by Victor Barranca, Associate Professor of Mathematics and Statistics at Swarthmore College Mathematics plays an increasingly crucial role in understanding the mechanisms underlying brain ...
Abstract: This paper proposes the mathematical framework and its validation for Haar Wavelet Transformation (HWT) based lossless image compression. The complete end to end transformation functions, ...
Recursive Compression Theory (RCT) reframes the question of AI consciousness from "Does AI experience subjective states?" to "Can stable identity emerge from recursive interaction patterns?" This ...
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