Search Results for author:
Found 8 papers, 0 papers with code
Sustainable and Precision Agriculture with the Internet of Everything (IoE)
This paper explores the potential of the Internet of Everything (IoE) in revolutionizing agricultural systems.
Bacterial Communications and Computing in Internet of Everything (IoE)
Thus, this paper offers valuable insights into previously unaddressed aspects of bacterial behavior, suggesting novel avenues for future research and aiming to advance understanding and application of bacterial sensing, communication and computing in MC models.
Modelling 1D Partially Absorbing Boundaries for Brownian Molecular Communication Channels
Our results contribute to the development of more complicated models and analytic expressions to measure the molecular build-up and the impact of ISI in MC.
Internet of Harvester Nano Things: A Future Prospects
The advancements in nanotechnology, material science, and electrical engineering have shrunk the sizes of electronic devices down to the micro/nanoscale.
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach
The attacker then adversarially regenerates the graph structural correlations while maximizing the FL training loss, and subsequently generates malicious local models using the adversarial graph structure and the training data features of the benign ones.
What Really is `Molecule' in Molecular Communications? The Quest for Physics of Particle-based Information Carriers
Molecular communication, as implied by its name, uses molecules as information carriers for communication between objects.
Frequency-Domain Detection for Molecular Communication with Cross-Reactive Receptors
The time-varying concentration of ligand-bound receptors is translated into electrical signals via field effect, which is used to decode the transmitted information.
Frequency-Domain Detection for Molecular Communications
In this study, we propose a frequency-domain detection (FDD) technique for bioFET-based MC-Rxs, which exploits the difference in binding reaction rates of different types of ligands, reflected to the noise spectrum of the ligand-receptor binding fluctuations.
