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20202026
most citedAnomaly Detection using Deep Reconstruction and Forecasting for Autonomous Systems

7 citations · 7 across the 18 of their papers we have counts for

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9 papers · 1 filter

eess.SP2026

Detection of sUAS in Urban Environments using Multi-Antenna Micro-Doppler Radar

Chamindu Liyanage, Chirantha Kurukulasuriya, Chathuni Wijegunawardana +3

Sensing and early detection of small unmanned aerial systems (sUAS) are critically important in modern-day defense. In dense urban and indoor environments, detection becomes extrem…

eess.SP2026

Agentic Physical-AI for Self-Aware RF Systems

Linuka Ratnayake, Danidu Dabare, Sanuja Rupasinghe +4

Intelligent control of RF transceivers adapting to dynamic operational conditions is essential in the modern and future communication systems. We propose a multi-agent neurosymboli…

eess.SP2025

A Patient-Independent Neonatal Seizure Prediction Model Using Reduced Montage EEG and ECG

Sithmini Ranasingha, Agasthi Haputhanthri, Hansa Marasinghe +5

Neonates are highly susceptible to seizures, often leading to short or long-term neurological impairments. However, clinical manifestations of neonatal seizures are subtle and ofte…

eess.SP2025

Radar and Acoustic Sensor Fusion using a Transformer Encoder for Robust Drone Detection and Classification

Gevindu Ganganath, Pasindu Sankalpa, Samal Punsara +4

The use of drones in a wide range of applications is steadily increasing. However, this has also raised critical security concerns such as unauthorized drone intrusions into restri…

eess.SP2025

An Active Dry-Contact Continuous EEG Monitoring System for Seizure Detection Applications in Clinical Neurophysiology

Nima L. Wickramasinghe, Dinuka Sandun Udayantha, Akila Abeyratne +5

Objective: Young children and infants, especially newborns, are highly susceptible to seizures, which, if undetected and untreated, can lead to severe long-term neurological conseq…

eess.SP2024

Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection

Dinuka Sandun Udayantha, Kavindu Weerasinghe, Nima Wickramasinghe +5

The neonatal period is the most vulnerable time for the development of seizures. Seizures in the immature brain lead to detrimental consequences, therefore require early diagnosis.…