First M87 event horizon telescope results. VI. The shadow and mass of the central black hole

K Akiyama, A Alberdi, W Alef, K Asada… - The Astrophysical …, 2019 - iopscience.iop.org
We present measurements of the properties of the central radio source in M87 using Event
Horizon Telescope data obtained during the 2017 campaign. We develop and fit geometric …

Survey of recent applications of the chaotic lozi map

R Lozi - Algorithms, 2023 - mdpi.com
Since its original publication in 1978, Lozi's chaotic map has been thoroughly explored and
continues to be. Hundreds of publications have analyzed its particular structure and applied …

Gravitational test beyond the first post-Newtonian order with the shadow of the M87 black hole

D Psaltis, L Medeiros, P Christian, F Özel, K Akiyama… - Physical review …, 2020 - APS
The 2017 Event Horizon Telescope (EHT) observations of the central source in M87 have
led to the first measurement of the size of a black-hole shadow. This observation offers a …

Genetic algorithm enhanced by machine learning in dynamic aperture optimization

Y Li, W Cheng, LH Yu, R Rainer - Physical Review Accelerators and Beams, 2018 - APS
With the aid of machine learning techniques, the genetic algorithm has been enhanced and
applied to the multi-objective optimization problem presented by the dynamic aperture of the …

Precision agriculture management based on a surrogate model assisted multiobjective algorithmic framework

D Cheng, Y Yao, R Liu, X Li, B Guan, F Yu - Scientific Reports, 2023 - nature.com
Sustainable intensification needs to optimize irrigation and fertilization strategies while
increasing crop yield. To enable more precision and effective agricultural management, a bi …

Black hole parameter estimation with synthetic very long baseline interferometry data from the ground and from space

F Roelofs, CM Fromm, Y Mizuno, J Davelaar… - Astronomy & …, 2021 - aanda.org
Context. The Event Horizon Telescope (EHT) has imaged the shadow of the supermassive
black hole in M 87. A library of general relativistic magnetohydrodynamics (GMRHD) models …

Numerical feature selection and hyperbolic tangent feature scaling in machine learning-based detection of anomalies in the computer network behavior

D Protić, M Stanković, R Prodanović, I Vulić… - Electronics, 2023 - mdpi.com
Anomaly-based intrusion detection systems identify the computer network behavior which
deviates from the statistical model of typical network behavior. Binary classifiers based on …

Multiobjective evolutionary optimization of the number of beams, their orientations and weights for intensity-modulated radiation therapy

E Schreibmann, M Lahanas, L Xing… - Physics in Medicine & …, 2004 - iopscience.iop.org
We propose a hybrid multiobjective (MO) evolutionary optimization algorithm (MOEA) for
intensity-modulated radiotherapy inverse planning and apply it to optimize the number of …

Hybrid computation offloading for smart home automation in mobile cloud computing

J Zhang, Z Zhou, S Li, L Gan, X Zhang, L Qi… - Personal and Ubiquitous …, 2018 - Springer
Smart home automation enables the users to realize the access control of the in-home
appliances by the mobile devices. With the rapid development of mobile cloud computing …

Using space-VLBI to probe gravity around Sgr A

CM Fromm, Y Mizuno, Z Younsi, H Olivares… - Astronomy & …, 2021 - aanda.org
Context. The Event Horizon Telescope (EHT) will soon provide the first high-resolution
images of the Galactic Centre supermassive black hole candidate Sagittarius A*(Sgr A*) …