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Found 13 papers, 3 papers with code
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection
However, most existing deep learning-based methods are aimed at dealing with a specific band selection dataset, and need to retrain parameters for new datasets, which significantly limits their generalizability. To address this issue, a novel multi-teacher multi-objective meta-learning network (M$^3$BS) is proposed for zero-shot hyperspectral band selection.
Automated Identification and Segmentation of Hi Sources in CRAFTS Using Deep Learning Method
With the advancement of observational technology, especially with the advent of large-scale telescope projects such as FAST and SKA, the significant increase in data volume presents new challenges for the efficiency and accuracy of data processing. To address this challenge, in this study, we present a machine learning-based method for extracting \hi\ sources from the three-dimensional (3D) spectral data obtained from the Commensal Radio Astronomy FAST Survey (CRAFTS).
Deep Learning for Day Forecasts from Sparse Observations
The ability of neural models to make a prediction in less than a second once the data is available and to do so with very high temporal and spatial resolution, and the ability to learn directly from atmospheric observations, are just some of these models' unique advantages.
GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs
With the recent study of deep learning in scientific computation, the Physics-Informed Neural Networks (PINNs) method has drawn widespread attention for solving Partial Differential Equations (PDEs).
LGN-Net: Local-Global Normality Network for Video Anomaly Detection
Existing unsupervised VAD methods tend to learn normality from training sets consisting of only normal videos and regard instances deviating from such normality as anomalies.
Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges
For that, Artificial Intelligence (AI) is enabling higher value-added manufacturing by accelerating the integration of manufacturing and information communication technologies, including computing, communication, and control.
Carbon-chain molecule survey toward four low-mass molecular outflow sources
Hydrocarbons and HC$_3$N were detected in all the sources, except for L1598, which had a marginal detection of C$_4$H and a non-detection of HC$_3$N (J=2--1).
Astrophysics of Galaxies
The first evidence for three-dimensional spin-velocity alignment in pulsars
Observations have shown a strong tendency for alignment of the pulsar space velocity and spin axis in young pulsars but, up to now, these comparisons have been restricted to two dimensions.
Astrophysics of Galaxies
From haloes to galaxies -- II. The fundamental relations in star formation and quenching
We show the integrated $M_{\rm H_2}$-SFR, SFR-$M_*$ and $M_{\rm H_2}$-$M_*$ relation can be simply transformed from the $\mu$-sSFR, SFE-$\mu$ and SFE-sSFR relation, respectively.
Astrophysics of Galaxies
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results
Results of 33 object detection algorithms are presented.
Universal Rules for Fooling Deep Neural Networks based Text Classification
Here, we go beyond attacks to investigate, for the first time, universal rules, i. e., rules that are sample agnostic and therefore could turn any text sample in an adversarial one.
The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
This paper describes the development of Microsoft XiaoIce, the most popular social chatbot in the world.
From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots
Conversational systems have come a long way since their inception in the 1960s.
