Results 41 to 50 of about 12,444 (261)
Perceptual Audio Hashing Functions
EURASIP Journal on Advances in Signal Processing, 2005 Perceptual hash functions provide a tool for fast and reliable identification of content. We present new audio hash functions based on summarization of the time-frequency spectral characteristics of an audio document.
Emin Anarım +3 more
doaj +1 more source
ON THE UNIVERSAL TREE MODE OF HASH CODE GENERATION
Современные информационные технологии и IT-образование, 2018 Classical approaches to the construction of hash function modes, based on the using of iterative procedures, do not allow efficient processing of large amounts of data and can’t be adapted to parallel computing architectures.
Dmitriy S. Bogdanov +2 more
doaj +1 more source
, 2023 AbstractHash functions are one-way functions that map arbitrary-length input to fixed-length output. Moreover, they have many cryptographic applications, such as integrity checks, password storage, and signatures. Cryptographic hash functions have some additional properties that can be formulated as hard problems: pre-image resistance, second pre-image
Urs Wagner, Thomas Lugrin
openaire +1 more source
Transient Cytoskeletal Anisotropy Encodes Short‐Term Mechanical Memory in Glioblastoma Cells
Advanced Materials, EarlyView.The same mechanical deformation can produce distinct cytoskeletal states depending on loading history. Experiments and constitutive modeling reveal that transient actin–vimentin anisotropy stores mechanical information and governs short‐term mechanical memory in glioblastoma cells.
Clara Gomez‐Cruz +5 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Hash Function Based on Controlled Alternate Quantum Walks With Memory (September 2021)
IEEE Transactions on Quantum Engineering, 2022 We propose a Quantum inspired Hash Function using controlled alternate quantum walks with Memory on cycles (QHFM), where the $j$th message bit decides whether to run quantum walk with one-step memory or to run quantum walk with two-step memory at the $j ...
Qing Zhou, Songfeng Lu
doaj +1 more source
Femtosecond‐Laser‐Induced Physical Unclonable Random Maze Structure for Storage‐Free Encryption
Advanced Science, EarlyView.Femtosecond‐laser‐induced gold random maze structures serve as multimodal physical unclonable functions for storage‐free encryption. Their stochastic optical, electrical, and Raman responses are generated by plasmon‐assisted Marangoni formation and converted into AES‐compatible keys without permanent secret‐key storage, offering a portable route toward
Shiru Jiang +6 more
wiley +1 more source
High Performance and Low Power Hardware Implementation for Cryptographic Hash Functions
International Journal of Distributed Sensor Networks, 2014 Since hash functions are cryptography's most widely used primitives, efficient hardware implementation of hash functions is of critical importance. The proposed high performance hardware implementation of the hash functions used sponge construction which
Yunlong Zhang +3 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source