Results 41 to 50 of about 19,856 (256)
Trigonometric words ranking model for spam message classification
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
One-way hash function with chaotic dynamic parameters
A novel keyed one-way hash function based on chaotic dynamic parameters was presented which combines the advantage of both chaotic system and conventional one-way hash function.In the proposed approach the fixed parameters of conventional hash function ...
GUO Wei1 +3 more
doaj +2 more sources
HMNT: Hash Function Based on New Mersenne Number Transform
In the field of information security, hash functions are considered important as they are used to ensure message integrity and authentication. Despite various available methods to design hash functions, the methods have been proven to time inefficient ...
Ali Maetouq, Salwani Mohd Daud
doaj +1 more source
EliMAC: Speeding Up LightMAC by around 20%
Universal hash functions play a prominent role in the design of message authentication codes and the like. Whereas it is known how to build highly efficient sequential universal hash functions, parallel non-algebraic universal hash function designs are ...
Christoph Dobraunig +2 more
doaj +1 more source
P4bm framework in NaNbO3‐Ba(Ti, Hf)O3 ferrodistortive relaxor entails short‐range and highly‐polar ferrodistortive orders. The abundant highly‐polar orders facilitate to increase entropy change, and robust octahedral oxygen tilt enables to impede thermal perturbations.
Feng Li +11 more
wiley +1 more source
Ranking-Based Deep Hashing Network for Image Retrieval
In large-scale image retrieval, the deep learning-based hashing methods have significantly progressed. However, most of the existing deep hashing methods still have the problems of low feature learning efficiency and weak ranking relationship ...
Zhisheng Zhang +5 more
doaj +1 more source
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
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
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
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

