1071 – 1080 of 1086
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=""
width=""
height=""
allowtransparency="true"
frameborder="0">
</iframe>
- 2023
-
Mark
Optimal Carrier Frequency Design for Frequency Diverse Array Mimo Radar
(2023) 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2023-June.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Augmentation Strategies for Self-Supervised Representation Learning from Electrocardiograms
(2023) 31st European Signal Processing Conference, EUSIPCO 2023 In European Signal Processing Conference p.1075-1079
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Innovative Methods for Affectivity Profiling : Quantitative Semantics
(2023) p.67-88
- Chapter in Book/Report/Conference proceeding › Book chapter
-
Mark
Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
(2023)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Low-Complexity Channel Estimation and Localization with Random Beamspace Observations
(2023) 2023 IEEE International Conference on Communications, ICC 2023 In IEEE International Conference on Communications 2023-May. p.5985-5990
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Astrophysics with the Laser Interferometer Space Antenna
- Contribution to journal › Scientific review
-
Mark
Attack Resilient Cloud-Based Control Systems for Industry 4.0
- Contribution to journal › Article
-
Mark
Propagation Modeling for Physically Large Arrays: Measurements and Multipath Component Visibility
(2023) European Conference on Networks and Communications (EuCNC) and 6G Summit
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Threats, Emotions, and Affective Polarization
- Contribution to journal › Article
-
Mark
Deep learning prediction models based on EHR trajectories : A systematic review
- Contribution to journal › Scientific review
