Results 41 to 50 of about 8,865,576 (206)

Pattern‐Aware Intelligence Enables Nondestructive, Rapid Quantification of High‐Aspect‐Ratio Silicon Etching

Advanced Science, EarlyView.
Pattern‐dependent etching is converted into a physical prior for intelligent reconstruction of high‐aspect‐ratio silicon structures. Combining YOLO‐Pose feature extraction with a topography network, the framework retrieves depth, sidewall angle, and scallop texture from minimal destructive observations, enabling accurate cross‐scale metrology and near ...
Shuyan He, Lang Chen, Bo Wen, Yufeng Jin, Wei Wang   +4 more
wiley   +1 more source

Stochastic methods of information security

Безопасность информационных технологий
Computer systems (CS) security has become a very critical concern that needs the attention of researchers to ensure the information protection and cyber security.
Mikhail A. Ivanov
doaj   +1 more source

Multi‐Dimensional Physical‐Layer Security via Digitally Mediated Space–Time Modulation

Advanced Science, EarlyView.
Digitally mediated space–time modulation moves radiation control beyond hardware‐bound switching. Multiple information‐bearing and masking waveforms are jointly synthesized at baseband and coherently coupled to simple periodic time modulation, enabling programmable, independently directed multi‐beam radiation without increasing switching‐state ...
Kejin Chen, Heng Mao, Feng Yang, Gengbo Wu, Lei Zhang, Yikai Chen, Shi‐Wei Qu, Jun Hu, Shiwen Yang   +8 more
wiley   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

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

Comb‐Driven Coherent Optical Transmitter for Scalable DWDM Interconnects

Laser &Photonics Reviews, EarlyView.
A comb‐driven coherent optical transmitter on a Si/SiN platform enables scalable DWDM interconnects by integrating ultra‐compact microring‐assisted modulators and interleavers. High‐baud coherent signaling achieves 400 Gb/s per wavelength and >$>$1 Tb/s multi‐channel transmission, with projected >$>$10 Tb/s per fiber, offering a path toward energy ...
Alireza Geravand, Erwan Weckenmann, Jean‐Michel Vallée, Farshid Shateri, Zibo Zheng, Simon Levasseur, Bo Yang, Jiajian Chen, Ting Wang, Zihao Wang, Leslie A. Rusch, Wei Shi   +11 more
wiley   +1 more source

A transformation sequencing approach to pseudorandom number generation [PDF]

, 2007
This paper presents a new approach to designing pseudorandom number generators based on cellular automata. Current cellular automata designs either focus on i) ensuring desirable sequence properties such as maximum length period, balanced distribution ...
Guan, SU, Tan, SK
core   +1 more source

Applying AVX512 vectorization to improve the performance of a random number generator

Труды Института системного программирования РАН, 2018
The generation of uniformly distributed random numbers is necessary for computer simulation by Monte Carlo methods and molecular dynamics. Generators of pseudo-random numbers (GPRS) are used to generate random numbers.
M. S. Guskova, L. Yu. Barash, L. N. Shchur   +2 more
doaj   +1 more source

OpenMRF: A Modular, Vendor‐Neutral Open‐Source Framework for Magnetic Resonance Fingerprinting Using Pulseq

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, Jannik Stebani, Sydney Kaplan, Ivaylo Angelov, Petra Albert, Tobias Wech, Martin Blaimer, Xiang Wang, Qingping Chen, Maxim Zaitsev, Zhibo Zhu, Qi Liu, Peter Martin, Jon‐Fredrik Nielsen, Jesse I. Hamilton, Peter Nordbeck, Nicole Seiberlich, Maximilian Gram   +17 more
wiley   +1 more source

Serum elemental profile‐based machine learning models for Alzheimer's disease identification and cognitive score prediction

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, Xinnan Liu, Yashuang Chen, Meng Pan, Ying Fu, Chao Ma, Wei Ge   +6 more
wiley   +1 more source

Quantum Image Encryption Using a Self-Adaptive Hash Function-Controlled Chaotic Map (SAHF-CCM)

IEEE Access, 2022
Recently, quantum image encryption algorithms are attracting more and more attention, due to the upcoming quantum threat problem to the current cryptographic encryption algorithms with the rapid progress toward the quantum computer production. The aim of
Roayat Ismail Abdelfatah
doaj   +1 more source