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From the 1 of 12 linked papers with an AI index.

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20242026
most citedDifferentiable Microscopy Designs an All Optical Phase Retrieval Microscope

3 citations · 3 across the 8 of their papers we have counts for

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6 papers · 1 filter

eess.SP2026

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

Chamindu Liyanage, Chirantha Kurukulasuriya, Chathuni Wijegunawardana +3

The paper proposes a continuous‑wave MIMO radar operating at 2.47 GHz combined with a deep learning model to detect small unmanned aerial systems in dense urban and indoor environm…

eess.SP2026

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.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

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.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.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.…