7 papers
React or Predict? A Spectral Rule for Wireless Threshold Detection
Aamir Mahmood, Nho Duc Tran
A wireless sensor must alert a remote monitor before a monitored process crosses a safety threshold; an alarm arriving afterward may be too late. The sensor can react to its curren…
Predictive Triggering for Outage-Resilient Threshold Decisions over Short-Packet Links
Nho-Duc Tran, Aamir Mahmood, Mikael Gidlund
Remote threshold decisions require more than accurate state estimates: the posterior must support reliable alarm/no-alarm decisions and, when possible, anticipate early critical de…
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
Learning-Based Sensor Scheduling for Delay-Aware and Stable Remote State Estimation
Nho-Duc Tran, Aamir Mahmood, Mikael Gidlund
Unpredictable sensor-to-estimator delays fundamentally distort what matters for wireless remote state estimation: not just freshness, but how delay interacts with sensor informativ…
Fast Adaptive Neural Control of Resonant Extraction at Fermilab
A. Whitbeck, J. Berlioz, K. Danison-Fieldhouse +8
We present progress on the development of a machine learning (ML) regulation system for third-order resonant extraction of the beam delivered to the Mu2e experiment at Fermilab. We…
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks
Quynh Nguyen-Phuong Vu, Luciano Sebastian Martinez-Rau, Yuxuan Zhang +4
Keyword spotting (KWS) is an essential function that enables interaction with ubiquitous smart devices. However, in resource-limited devices, KWS models are often static and can th…