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Found 11 papers, 2 papers with code
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC
Due to such design and the kernel-based neural network, to which decision-making features can be continuously added, the kernel-based approach can outperform the approach based on fully-connected deep neural network, yielding improvement in energy consumption and the backlog performance, as well as a significant reduction in decision-making and online learning time.
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation
Then the frequency spectrum is modulated by category information of the target item to model the bias that both the upper bound of fatigue and users' patience is different for different categories.
Sparse Bayesian Learning-Based 3D Spectrum Environment Map Construction-Sampling Optimization, Scenario-Dependent Dictionary Construction and Sparse Recovery
Then, a maximum and minimum distance (MMD) clustering-based SBL algorithm is proposed to recover the spectrum data at the unsampled positions and construct the whole 3D SEM.
Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO
Then, to acquire accurate CSI at the BS for the investigated RSMA precoding scheme to achieve higher spectral efficiency, we propose a CSI acquisition network (CAN) with low pilot and feedback signaling overhead, where the downlink pilot transmission, CSI feedback at the user equipments (UEs), and CSI reconstruction at the BS are modeled as an end-to-end neural network based on Transformer.
MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction
In this paper, we propose a novel CTR model named MOEF for recommendations under frequent changes of occasions.
A Unified Cognitive Learning Framework for Adapting to Dynamic Environment and Tasks
Many machine learning frameworks have been proposed and used in wireless communications for realizing diverse goals.
Deep Weakly Supervised Positioning
PoseNet can map a photo to the position where it is taken, which is appealing in robotics.
Time and Frequency Network for Human Action Detection in Videos
Currently, spatiotemporal features are embraced by most deep learning approaches for human action detection in videos, however, they neglect the important features in frequency domain.
Planets Across Space and Time (PAST). I. Characterizing the Memberships of Galactic Components and Stellar Ages: Revisiting the Kinematic Methods and Applying to Planet Host Stars
The revised kinematic method and AVR as well as the stellar catalog of kinematic properties and ages lay foundation for future studies on exoplanets from two dimensions of space and time in the Galactic context.
Earth and Planetary Astrophysics Astrophysics of Galaxies Solar and Stellar Astrophysics
Correction to the photometric magnitudes of the Gaia Early Data Release 3
In this letter, we have carried out an independent validation of the Gaia EDR3 photometry using about 10, 000 Landolt standard stars from Clem & Landolt (2013).
Solar and Stellar Astrophysics Astrophysics of Galaxies
Quasibound states of charged dilatonic black holes
We demonstrate the numerical solution and analytical solution perfectly agree with each other in the region where charge of the black hole is large, both for real and imaginary parts of the eigen frequencies.
General Relativity and Quantum Cosmology
