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Showing 20 of 257 academic articles

Emergence of chaotic resonance controlled by extremely weak feedback signals in neural systems

Anh Tu Tran, Sou Nobukawa, Sou Nobukawa, Sou Nobukawa et al. • Frontiers in Applied Mathematics and Statistics (2024)

IntroductionChaotic resonance is similar to stochastic resonance, which emerges from chaos as an internal dynamical fluctuation. In chaotic resonance, chaos-chaos intermittency (CCI), in which the chaotic orbits shift between the separated ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fams.2024.1434119

Probabilistic robotics

Sebastian Thrun • Communications of the ACM (2002)

Planning and navigation algorithms exploit statistics gleaned from uncertain, imperfect real-world environments to guide robots toward their goals and around obstacles....

OPENALEX DOI: https://doi.org/10.1145/504729.504754

Robots at Work

Georg Graetz, Guy Michaels • The Review of Economics and Statistics (2018)

We analyze for the first time the economic contributions of modern industrial robots, which are flexible, versatile, and autonomous machines. We use novel panel data on robot adoption within industries in seventeen countries from 1993 to 20...

OPENALEX Open Access DOI: https://doi.org/10.1162/rest_a_00754

A Two-Dimensional Sequential Packing Method for Lunar Regolith Particles Based on Random Polygons

Chunguang Zhang, Feng Sun, Ye Li, Haining Zhao et al. • Aerospace (2026)

To accurately characterize the effects of polydisperse particle sizes, multimineral composition, and angular morphology on the packing structure of lunar regolith, a two-dimensional sequential packing method based on random convex octagons ...

DOAJ Open Access (DOAJ) DOI: 10.3390/aerospace13070612

Detection of Majorana zero mode in the vortex

Hao-Hua Sun, Jin-Feng Jia • npj Quantum Materials (2017)

Abstract Majorana zero modes, which behave like Majorana fermions, are quasiparticle excitations in condensed matter systems. They obey non-Abelian statistics, and have been proposed as building blocks of topological quantum computers. They...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41535-017-0037-4

Intrinsic open quantum walk on integer cattice ℤ(整数格ℤ上的内禀开放量子游荡)

LI Jianmin(李建敏), WANG Caishi(王才士), FAN Nan(范楠) • Zhejiang Daxue xuebao. Lixue ban (2025)

As quantum analogs of classical Markov chains, open quantum walks have found wide application in many research fields such as quantum computing and quantum simulation. This paper introduces a model of intrinsic open quantum walk on the 1-di...

DOAJ Open Access (DOAJ) DOI: 10.3785/j.issn.1008-9497.2025.05.011

Monitoring distributed systems

Jeffrey J. Joyce, Greg Lomow, Konrad L. Slind, Brian W. Unger • ACM Transactions on Computer Systems (1987)

The monitoring of distributed systems involves the collection, interpretation, and display of information concerning the interactions among concurrently executing processes. This information and its display can support the debugging, testin...

OPENALEX Open Access DOI: https://doi.org/10.1145/13677.22723

An introduction to cybersecurity

Anahita Tasdighi • Wiley eBooks (2017)

This inaugural chapter provides a thorough exposition on the fundamentals of cybersecurity, underscoring its paramount importance in the contemporary digital landscape. A comprehensive examination of the cyber threat landscape is presented,...

OPENALEX DOI: https://doi.org/10.1002/9781394375936.ch1

Pattern Recognition and Neural Networks

Brian David Ripley • Cambridge University Press eBooks (1996)

This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511812651

Neural Networks in Applied Statistics

Hal S. Stern • Technometrics (1996)

Artificial neural networks are computer algorithms or computer programs derived in part from attempts to model the activity of nerve cells. They have been applied to pattern recognition, classification, and optimization problems in the phys...

OPENALEX DOI: https://doi.org/10.1080/00401706.1996.10484497

A neural network model for survival data

David Faraggi, Richard M Simon • Statistics in Medicine (1995)

Neural networks have received considerable attention recently, mostly by non-statisticians. They are considered by many to be very promising tools for classification and prediction. In this paper we present an approach to modelling censored...

OPENALEX DOI: https://doi.org/10.1002/sim.4780140108

An IXPE-led X-Ray Spectropolarimetric Campaign on the Soft State of Cygnus X-1: X-Ray Polarimetric Evidence for Strong Gravitational Lensing

James F. Steiner, Edward Nathan, Kun Hu, Henric Krawczynski et al. • The Astrophysical Journal Letters (2024)

We present the first X-ray spectropolarimetric results for Cygnus X-1 in its soft state from a campaign of five IXPE observations conducted during 2023 May–June. Companion multiwavelength data during the campaign are likewise shown. The 2–8...

DOAJ Open Access (DOAJ) DOI: 10.3847/2041-8213/ad58e4

Handbook of Space Astronomy and Astrophysics

Martin V. Zombeck • Cambridge University Press eBooks (2006)

Fully updated and including data from space-based observations, this Third Edition is a comprehensive compilation of the facts and figures relevant to astronomy and astrophysics. As well as a vast number of tables, graphs, diagrams and form...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511536359

Analytically Computing the Moments of a Conic Combination of Independent Noncentral Chi-Square Random Variables and Its Application for the Extended Cox–Ingersoll–Ross Process with Time-Varying Dimension

Sanae Rujivan, Athinan Sutchada, Kittisak Chumpong, Napat Rujeerapaiboon • Mathematics (2023)

This paper focuses mainly on the problem of computing the γth, γ>0, moment of a random variable Yn:=∑i=1nαiXi in which the αi’s are positive real numbers and the Xi’s are independent and distributed according to noncentral chi-square distri...

DOAJ Open Access (DOAJ) DOI: 10.3390/math11051276

Generational Differences in Dietary Behaviours: A Cross-Sectional Study of Generations X, Y, and Z [version 1; peer review: 2 approved]

Jenan Alanazi, Ethar Alanazi, Reema Almuhayd, Saja Alanazi et al. • F1000Research (2025)

Background Dietary behaviours influence obesity and chronic disease. In Saudi Arabia, Westernised diets and sedentary lifestyles have driven rising obesity. This study explores generational dietary patterns to inform Saudi Vision 2030 plann...

DOAJ Open Access (DOAJ) DOI: 10.12688/f1000research.167810.1