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Found 20 papers, 1 papers with code
Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity
This study advances this concept by incorporating cell plasticity, to further exploit natural cell's adaptability, in order to diversify the GRNN search that can match larger spectrum as well as dynamic computing tasks.
Stability Analysis of Non-Linear Classifiers using Gene Regulatory Neural Network for Biological AI
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.
Emerging AI Technologies Inspiring the Next Generation of E-textiles
The textile sector needs to actively look at such emerging and new technologies taking inspiration from their workings and processing methods in order to stimulate new and innovative embedded intelligence advancements in the etextile world.
Inferring Gene Regulatory Neural Networks for Bacterial Decision Making in Biofilms
These incoming external signals are then processed using a Gene Regulatory Network (GRN), exhibiting similarities to modern computing algorithms.
Realizing Molecular Machine Learning through Communications for Biological AI: Future Directions and Challenges
Artificial Intelligence (AI) and Machine Learning (ML) are weaving their way into the fabric of society, where they are playing a crucial role in numerous facets of our lives.
Using Deep Learning to Detect Digitally Encoded DNA Trigger for Trojan Malware in Bio-Cyber Attacks
However, in this paper we show how Deep Learning can be used to successfully detect and identify the trigger encoded data, in order to protect a DNA sequencing pipeline from trojan attacks.
Climate Change Sensing through Terahertz Communications: A Disruptive Application of 6G Networks
Climate change resulting from the misuse and over-exploitation of natural resources has affected and continues to impact the planet's ecosystem.
Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals
The recent COVID-19 pandemic has driven researchers from different spectrum to develop novel solutions that can improve detection and understanding of SARS-CoV-2 virus.
A Graph-based Molecular Communications Model Analysis of the Human Gut Bacteriome
Furthermore, we develop an in-silico simulation model (virtual GB), allowing us to study the impact of the metabolite exchange through molecular communications in the human gut bacteriome network system.
Channel Capacity of Starch and Glucose Molecular Communications in the Small Intestine Digestive Tract
Based on the advection-diffusion and reaction mechanisms, we define a channel capacity for the small intestine digestive tract that is dependent on the starch to glucose conversion, velocity flow within the tract, viscosity of the digest product, and length of the tract and position of the receivers for glucose absorption.
A Review on Bio-Cyber Interfaces for Intrabody Molecular Communications Systems
The recent advancements in bio-engineering and wireless communications systems have motivated researchers to propose novel applications for telemedicine, therapeutics and human health monitoring.
Analysis of Molecular Communications on the Growth Structure of Glioblastoma Multiforme
By using information theory we study different properties associated with this communication model to show that the growth of GBM in a particular direction (node to stem) is related to an increase in mutual information.
Neuron Signal Propagation Analysis of Cytokine-Storm induced Demyelination
The COVID-19 pandemic has shaken the world unprecedentedly, where it has affected the vast global population both socially and economically.
Molecular Communications in Viral Infections Research: Modelling, Experimental Data and Future Directions
Hundreds of millions of people worldwide are affected by viral infections each year, and yet, several of them neither have vaccines nor effective treatment during and post-infection.
Block Chain and Internet of Nano-Things for Optimizing Chemical Sensing in Smart Farming
This study proposes a BC-powered IoNT (BC-IoNT) system for sensing chemicals level in the context of farm management.
A Machine Learning-based Approach to Detect Threats in Bio-Cyber DNA Storage Systems
The similarities between these biological media and classical ones can also be a drawback, as malicious parties might replicate traditional attacks on the former archival system, using biological instruments and techniques.
Hydrogel-based Bio-nanomachine Transmitters for Bacterial Molecular Communications
In addition, our wet lab results show the propagation of the molecular output signal, proving the feasibility of engineering a positive feedback loop to create a bio-nanomachine transmitter that can be used for biosensing applications.
Evolving Intelligent Reflector Surface towards 6G for Public Health: Application in Airborne Virus Detection
While metasurface based intelligent reflecting surfaces (IRS) are an important emerging technology for future generations of wireless connectivity in its own right, the plans for the mass deployment of these surfaces motivate the question of their integration with other new and emerging technologies that would require mass proliferation.
Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling
This paper defines the first two neural cyberattacks, Neuronal Flooding (FLO) and Neuronal Scanning (SCA), where each threat can affect the natural activity of neurons.
Neurons and Cognition Cryptography and Security
Engineering Calcium Signaling of Astrocytes for Neural-Molecular Computing Logic Gates
The results from the simulation showed that an optimum value for both the Ca$^{2+}$ activation threshold and time slot of input signals $T_b$ is required to achieve optimal computation accuracy, where up to 90\% accuracy for both the AND and OR gates can be achieved with the right combination of values.
Cell Behavior Emerging Technologies
