Electronic Engineering and Computer Science: Recent submissions
Now showing items 41-60 of 3490
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Digital twins in manufacturing: systematic literature review for physical-digital layer categorization and future research directions
(Taylor & Francis, 2022-01-13)Modern technologies and recently developed digital solutions make their way into all aspects of lives of individuals and businesses, and manufacturing industry is no exception. In the era of digital revolution of industry, ... -
A Generalized Loss Function for Crowd Counting and Localization
(IEEE, 2021-11-02)Previous work [40] shows that a better density map representation can improve the performance of crowd counting. In this paper, we investigate learning the density map representation through an unbalanced optimal transport ... -
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
(IEEE, 2021-11-02)Nested networks or slimmable networks are neural networks whose architectures can be adjusted instantly during testing time, e.g., based on computational constraints. Recent studies have focused on a “nested dropout” layer, ... -
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks
(IEEE, 2023-08-22)In this paper, we study masked autoencoder (MAE) pretraining on videos for matching-based downstream tasks, including visual object tracking (VOT) and video object segmentation (VOS). A simple extension of MAE is to randomly ... -
PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models.
(2022-06)We propose a ParametRIc MAnifold Learning (PRIMAL) algorithm for Gaussian mixtures models (GMM), assuming that GMMs lie on or near to a manifold of probability distributions that is generated from a low-dimensional ... -
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM.
(IEEE, 2023-08-31)The hidden Markov model (HMM) is a broadly applied generative model for representing time-series data, and clustering HMMs attract increased interest from machine learning researchers. However, the number of clusters ( K ... -
Variational Nested Dropout.
(IEEE, 2023-02-20)Nested dropout is a variant of dropout operation that is able to order network parameters or features based on the pre-defined importance during training. It has been explored for: I. Constructing nested nets Cui et al. ... -
Asynchronous optical sampling of on-chip terahertz devices for real-time sensing and imaging applications
(Optica Publishing Group, 2024-07-18)We demonstrate that asynchronous optical sampling (ASOPS) can be used to measure the propagation of terahertz (THz) bandwidth pulses in a coplanar waveguide device with integrated photoconductive switches used for signal ... -
Teaching CS with and through other forms of knowledge
Computer Science (CS) is often taught in K-5 education with and through other forms of knowledge, such as CS with Maths, Science, or Art. How two bodies of knowledge and skills are interleaved in a single learning event ... -
Destination Scheduling for Secure Pinhole-Based Power-Line Communication
(IEEE, 2023-01-01)We propose an optimal destination scheduling scheme to improve the physical layer security (PLS) of a power-line communication (PLC) based Internet-of-Things system in the presence of an eavesdropper. We consider a pinhole ... -
Deep Learning Enabled Channel Estimation for RIS-Aided Wireless Systems
(IEEE, 2022)Channel Estimation is one of the essential tasks to realize a reconfigurable intelligent surface (RIS)-aided orthogonal frequency division multiplexing (OFDM) communication system. Compared with conventional systems, the ... -
Dinkelbach-Guided Deep Reinforcement Learning for Secure Communication in UAV-Aided MEC Networks
(IEEE, 2022)Unmanned aerial vehicle-aided (UAV-aided) mobile edge computing (MEC) network can greatly reduce the data growth pressure of Internet of Things (IoT) and expand the wireless communication coverage. However, there is a risk ... -
Achieving Covert mmWave Communication Against Randomly Distributed Wardens
(2023-01-01)This paper investigates the covert millimeter wave (mmWave) communication in the finite block-length regime, where spatially random wardens attempt to determine the presence of transmission. First, we derive a novel ...