Determining research priorities using machine learning

2024-9-1

Formation of S2 species in different redox states by radiative association in atomic and ionic collisions

2024-9-1

Developing MATLAB graphical user interface for acquiring single star SCIDAR data

2024-9-1

Cosmological solution through gravitational decoupling in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e826" altimg="si2.svg"><mml:mrow><mml:mi>f</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>G</mml:mi><mml:mo>,</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math> gravity

2024-8-1

Score-matching neural networks for improved multi-band source separation

2024-8-1

Late time phantom characteristic of the model in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e691" altimg="si17.svg"><mml:mrow><mml:mi>f</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>R</mml:mi><mml:mo>,</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math> gravity with quadratic curvature term

2024-8-1

Vector to matrix representation for CNN networks for classifying astronomical data

2024-8-1

Addressing type Ia supernova color variability with a linear spectral template

2024-8-1

Predicting sunspot number from topological features in spectral images I: Machine learning approach

2024-7-1

Light curve classification with DistClassiPy: A new distance-based classifier

2024-7-1

TensorFlow Hydrodynamics Analysis for Ly-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e287" altimg="si144.svg"><mml:mi>α</mml:mi></mml:math> Simulations

2024-7-1

pyC <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1001" altimg="si79.svg"><mml:msup><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math> Ray: A flexible and GPU-accelerated radiative transfer framework for simulating the cosmic epoch of reionization

2024-7-1

Thermodynamical analysis of Phantom AdS black holes

2024-7-1

Two Fluids in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e669" altimg="si8.svg"><mml:mrow><mml:mi>f</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math> Gravity with Observational Constraints

2024-7-1

Enhancement of the MATISSE tool for the geological analysis of planetary surfaces: A study on central pit craters on Mercury

2024-7-1

CNN-based track reconstruction study for gamma-ray pair telescope

2024-7-1

Grouping and long term prediction of sunspot cycle characteristics-A fuzzy clustering approach

2024-7-1

A study of the equilibrium dynamics of the test particle in the collinear circular restricted four-body problem with non-spherical central primary

2024-7-1

Reinforcement learning

2024-7-1

Accelerating universe with wet dark fluid in modified theory of gravity

2024-7-1

Editorial Board

2024-7-1

Motion of test particles and topological interpretation of generic rotating regular black holes coupled to non-linear electrodynamics

2024-7-1

On the equilibrium points of the collinear restricted 4-body problem with non-spherical bodies

2024-7-1

State Space Modelling for detecting and characterising gravitational waves afterglows

2024-7-1

On the effective vibrational temperature of the source using (2)3∏ - X3∏ system of GeC molecule

2024-7-1

GEPINN: An innovative hybrid method for a symbolic solution to the Lane–Emden type equation based on grammatical evolution and physics-informed neural networks

2024-7-1

LCGCT: A light curve generator in customisable-time-bin based on time-series database

2024-6-18

Observational constraints on the wet dark fluid model in the fractal gravity

2024-6-12

The AGILEScience mobile application for the AGILE space mission

2024-6-12

Contribution of AI and Deep learning in revolutionizing gravitational wave detection

2024-6-1

A review of unsupervised learning in astronomy

2024-6-1

Estimation of orbital parameters from <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e696" altimg="si113.svg"><mml:mrow><mml:mo>(</mml:mo><mml:mi>u</mml:mi><mml:mo>,</mml:mo><mml:mi>v</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math>-coverage for a space radio interferometer

2024-6-1

Characterization of ground-based telescope control systems: A systematic mapping study

2024-6-1

Surveying image segmentation approaches in astronomy

2024-5-23

Learning from the present for the future: The Jülich LOFAR Long-term Archive

2024-5-20

Affine EoS cosmologies: Observational and dynamical system constraints

2024-4-1

Scenario of FLRW Dark Energy Universe and f(Q) Gravity

2024-4-1

Orbital dynamics of a binary system composed of a massive star and a black hole companion

2024-4-1

Reconstructing the mid-infrared spectra of galaxies using ultraviolet to submillimeter photometry and Deep Generative Networks

2024-4-1

Editorial Board

2024-4-1

Rotation and flipping invariant self-organizing maps with astronomical images: A cookbook and application to the VLA Sky Survey QuickLook images

2024-4-1

Single star SCIDAR: Atmospheric parameters profiling using the power spectrum of scintillation

2024-4-1

Probing Weyl-type <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si16.svg" display="inline" id="d1e2592"><mml:mrow><mml:mi>f</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>Q</mml:mi><mml:mo>,</mml:mo><mml:mi>T</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math> gravity: Cosmological implications and constraints

2024-4-1

Galmoss: A package for GPU-accelerated galaxy profile fitting

2024-4-1

YOLO-ET: A Machine Learning model for detecting, localising and classifying anthropogenic contaminants and extraterrestrial microparticles optimised for mobile processing systems

2024-4-1

A fast inversion method of parameters for contact binaries based on differential evolution

2024-4-1

RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference—Application to pulsar observations

2024-4-1

Membership determination in open clusters using the DBSCAN Clustering Algorithm

2024-4-1

Deep learning and quantum algorithms approach to investigating the feasibility of wormholes: A review

2024-4-1

DarsakX: A Python package for designing and analyzing imaging performance of X-ray telescopes

2024-4-1