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Found 10 papers, 3 papers with code
FROST: Towards Energy-efficient AI-on-5G Platforms -- A GPU Power Capping Evaluation
The Open Radio Access Network (O-RAN) is a burgeoning market with projected growth in the upcoming years.
Privacy in Multimodal Federated Human Activity Recognition
This work studies the impact of privacy in federated HAR at a user, environment, and sensor level.
Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition
We first propose the Fusion Transformer, an attention-based model for multimodal and multi-sensor fusion.
Multimodal sensor fusion in the latent representation space
In the second stage, the generative model serves as a reconstruction prior and the search manifold for the sensor fusion tasks.
Self-Supervised WiFi-Based Activity Recognition
Traditional approaches to activity recognition involve the use of wearable sensors or cameras in order to recognise human activities.
Non-Asymptotic Converse Bounds Via Auxiliary Channels
This paper presents a new derivation method of converse bounds on the non-asymptotic achievable rate of discrete weakly symmetric memoryless channels.
Information Theory Information Theory
N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding
We study a number of local and global manifold learning methods on both the raw data and autoencoded embedding, concluding that UMAP in our framework is best able to find the most clusterable manifold in the embedding, suggesting local manifold learning on an autoencoded embedding is effective for discovering higher quality discovering clusters.
Ranked #1 on
Image Clustering
on pendigits
Location Anomalies Detection for Connected and Autonomous Vehicles
Future Connected and Automated Vehicles (CAV), and more generally ITS, will form a highly interconnected system.
A Dataset of Full-Stack ITS-G5 DSRC Communications over Licensed and Unlicensed Bands Using a Large-Scale Urban Testbed
During each experimental session, for each transceiver, all the transmitted and received CAMs were recorded.
Networking and Internet Architecture
On Intercept Probability Minimization under Sparse Random Linear Network Coding
This paper considers a network where a node wishes to transmit a source message to a legitimate receiver in the presence of an eavesdropper.
Information Theory Information Theory
