Results 91 to 100 of about 7,591 (251)

Kinematics of Supernova Remnants Using Multiepoch Maximum Likelihood Estimation: Chandra Observation of Cassiopeia A as an Example

The Astrophysical Journal
Decadal changes in a nearby supernova remnant (SNR) were analyzed using a multiepoch maximum likelihood estimation (MLE) approach. To achieve greater accuracy in capturing the dynamics of SNRs, kinematic features and point-spread function effects were ...
Yusuke Sakai, Shinya Yamada, Toshiki Sato, Ryota Hayakawa, Nao Kominato   +4 more
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Image Deconvolution and Point-spread Function Reconstruction with STARRED: A Wavelet-based Two-channel Method Optimized for Light-curve Extraction

The Astronomical Journal
We present starred , a point-spread function (PSF) reconstruction, two-channel deconvolution, and light-curve extraction method designed for high-precision photometric measurements in imaging time series.
Martin Millon, Kevin Michalewicz, Frédéric Dux, Frédéric Courbin, Philip J. Marshall   +4 more
doaj   +1 more source

Deep Investigation of Neutral Gas Origins (DINGO): Options for the Processing and Storage of Radio Astronomy Data for robust Deep Spectral Line Imaging in the SKA-Era using uv-Grids

The next generation of radio astronomy telescopes are challenging existing data analysis paradigms, as they have an order of magnitude more antennas and larger bandwidth. Foremost amongst these are deep spectral line surveys, because these have the largest number of epochs and spectral channels per dataset.
Williamson, Alexander, Dodson, Richard, Elahi, Pascal J., Rhee, Jonghwan, Gong, Qian, Meyer, Martin, Rozgonyi, Kristof, Wicenec, Andreas, Chen, Jieyang, Podhorszki, Norbert, Klasky, Scott, Mitchell, Daniel   +11 more
openaire   +2 more sources

Scalable Platform Enabling Reservoir Computing With Nanoporous Oxide Memristors for Image Recognition and Time Series Prediction

Advanced Intelligent Systems, EarlyView.
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald, Ben A. Johnson, Amir Mehrnejat, Alex Gabbitas, Arthur G. T. Coveney, Alexander G. Balanov, Sergey Savel’ev, Pavel Borisov   +7 more
wiley   +1 more source

CDN-Net: Faint Celestial Target Detection Based on Densely Nested Hierarchical Network

The Astronomical Journal
The detection of celestial objects in ground-based wide-field optical telescope images serves as the foundational step for subsequent celestial analysis tasks.
Guo Chen, Bindang Xue, Xinyang Li, Junzhe Cao, Jihao Yin   +4 more
doaj   +1 more source

Rewiring Droplet Interface Synapses

Advanced Intelligent Systems, EarlyView.
Droplet interface synapses are used to create a neuromorphic network. Voltage pulses draw the droplets into contact and enable rewiring of the network through electrowetting. Results show that the heterogeneous droplet compositions and pore‐forming molecules may be used to tune the neuromorphic properties of the device using trapped charge as a form of
Sarita Shrestha, Eric Freeman
wiley   +1 more source

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

Advanced Intelligent Systems, EarlyView.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang, Marco Peres, Carlo Bradac, Gil Gonçalves   +3 more
wiley   +1 more source

Insights into Galaxy Evolution from Interpretable Sparse Feature Networks

The Astrophysical Journal
Galaxy appearances reveal the physics of how they formed and evolved. Machine learning (ML) models can now exploit galaxies’ information-rich morphologies to predict physical properties directly from image cutouts. Learning the relationship between pixel-
John F. Wu
doaj   +1 more source

Science Product Pipelines and Archive Architecture for the DART Mission

The Planetary Science Journal
On 2022 September 26, the Double Asteroid Redirection Test (DART) mission was the first successful demonstration of a kinetic impactor for planetary defense.
C. Dany Waller, Raymond C. Espiritu, Calley Tinsman, Hari Nair, Carolyn M. Ernst, R. Terik Daly, Olivier S. Barnouin, Angelo Zinzi, Nancy L. Chabot, Andrew S. Rivkin, Nicholas Moskovitz, David Osip, Tim Lister, Eileen Ryan, William Ryan   +14 more
doaj   +1 more source