1 citations · 1 across the 6 of their papers we have counts for
7 papers
Bacterial Gene Regulatory Neural Network as a Biocomputing Library of Mathematical Solvers
Adrian Ratwatte, Samitha Somathilaka, Thanh Cao +2
Current biocomputing approaches predominantly rely on engineered circuits with fixed logic, offering limited stability and reliability under diverse environmental conditions. Here,…
Insect-Wing Structured Microfluidic System for Reservoir Computing
Jacob Clouse, Thomas Ramsey, Samitha Somathilaka +3
As the demand for more efficient and adaptive computing grows, nature-inspired architectures offer promising alternatives to conventional electronic designs. Microfluidic platforms…
Antennas in Walls: Performance Analysis of Microstrip Patch Antennas Designed for Internet of Paint (IoP)
Lasantha Thakshila Wedage, Bernard Butler, Mehmet Can Vuran +2
This study presents a simulated transceiver with a microstrip patch antenna (MPA) designed to resonate at 150 GHz and embedded in paint. The in-paint MPA (IP-MPA) is designed for t…
Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity
Samitha Somathilaka, Adrian Ratwatte, Sasitharan Balasubramaniam +3
In our earlier work, we introduced the concept of Gene Regulatory Neural Network (GRNN), which utilizes natural neural network-like structures inherent in biological cells to perfo…
Stability Analysis of Non-Linear Classifiers using Gene Regulatory Neural Network for Biological AI
Adrian Ratwatte, Samitha Somathilaka, Sasitharan Balasubramaniam +1
The Gene Regulatory Network (GRN) of biological cells governs a number of key functionalities that enables them to adapt and survive through different environmental conditions. Clo…
Inferring Gene Regulatory Neural Networks for Bacterial Decision Making in Biofilms
Samitha Somathilaka, Daniel P. Martins, Xu Li +2
Bacterial cells are sensitive to a range of external signals used to learn the environment. These incoming external signals are then processed using a Gene Regulatory Network (GRN)…
Using Deep Learning to Detect Digitally Encoded DNA Trigger for Trojan Malware in Bio-Cyber Attacks
Mohd Siblee Islam, Stepan Ivanov, Hamdan Awan +5
This article uses Deep Learning technologies to safeguard DNA sequencing against Bio-Cyber attacks. We consider a hybrid attack scenario where the payload is encoded into a DNA seq…