Results 41 to 50 of about 11,341,287 (236)
J3Gen: A PRNG for Low-Cost Passive RFID
Sensors, 2013 Pseudorandom number generation (PRNG) is the main security tool in low-cost passive radio-frequency identification (RFID) technologies, such as EPC Gen2. We present a lightweight PRNG design for low-cost passive RFID tags, named J3Gen.
Jordi Herrera-Joancomartí +2 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Blockchain-Based Practical and Privacy-Preserving Federated Learning with Verifiable Fairness
Mathematics, 2023 Federated learning (FL) has been widely used in both academia and industry all around the world. FL has advantages from the perspective of data security, data diversity, real-time continual learning, hardware efficiency, etc.
Yitian Zhang +7 more
doaj +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose Widespread adoption and methodological advancement of magnetic resonance fingerprinting (MRF) are limited by the lack of unified, reproducible implementation frameworks and fragmented open‐source tools. To address these barriers, we introduce OpenMRF—a comprehensive Pulseq‐based solution—designed to enable standardized and transferable
Tom Griesler +17 more
wiley +1 more source
Performance Analysis of Cryptographic Pseudorandom Number Generators
IEEE Access, 2019 Pseudorandom number generators (PRNGs) are important in cryptography and have been used in several security applications, such as authentication protocols, session keys, key distribution, and keystream for a one-time pad.
Mohammad Aljohani +3 more
doaj +1 more source
Performance of Finite Precision on Discrete Chaotic Map Based on a Feedback Shift Register
Complexity, 2020 The scintillating technological improvements have changed the process of communication in all parts of the world. Shopping, banking, instant communication, and so on can be operated online and do not care about the linkage of those Internet ...
Chunguang Huang, Qun Ding
doaj +1 more source
Neuroprotection, EarlyView.Serum elemental profiling combined with machine learning supports exploratory Alzheimer's disease (AD) identification and cognitive score prediction. In this retrospective cross‐sectional study, 874 participants from the BANC‐PUMC, including cognitively normal controls and patients with AD, were analyzed.
Haotian Liu +6 more
wiley +1 more source
MATEC Web of Conferences, 2017 To date, there are many tasks that are aimed at studying the dynamic changes in physical processes. These tasks do not give advance known result. The solution of such problems is based on the construction of a dynamic model of the object.
Bilan Stepan, Bilan Mykola, Bilan Sergii
doaj +1 more source
A High-Throughput Random Binary Sequence Generator Based on ECG
IEEE Access, 2022 A Wireless Body Area Network (WBAN) is a network that expands over the human body, consisting of multiple nodes that are connected through wireless channels. It offers many applications in the area of remote health care.
Christine Zenieh +2 more
doaj +1 more source
Optimized and Aligned Anisotropic Monte Carlo Sampling Patterns
Computer Graphics Forum, EarlyView.Abstract Path tracing uses Monte Carlo integration to solve the rendering equation by evaluating the integrand at random sampling points. The convergence rate of the error can be significantly improved by using correlated instead of random sampling, especially on smooth integrands.
Mirco Werner +2 more
wiley +1 more source