activity
20142022
most citedExploring Strategies for Classification of External Stimuli Using Statistical Features of the Plant Electrical Response

76 citations · 179 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2022★ 1 cited

Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals

Daniel Mauricio Jimenez Gutierrez, Hafiz Muuhammad Hassan, Lorella Landi +2

Artificial Intelligence-based (AI) analysis of large, curated medical datasets is promising for providing early detection, faster diagnosis, and more effective treatment using low-…

cs.CR2021★ 4 cited

Empowering Citizens by a Blockchain-Based Robinson List

Albenzio Cirillo, Vito Dalena, Antonio Mauro +5

A Robinson list protects phone subscribers against commercial spam calls. Its least basic functionality is to collect the denial of the subscribers to be contacted by market operat…

cs.DC2020★ 7 cited

Binding of Endpoints to Identifiers by On-Chain Proofs

Diego Pennino, Maurizio Pizzonia, Andrea Vitaletti +1

In many applications, identity management (IdM) is used to associate a subject public key with an endpoint at which the subject can be contacted (telephone number, email, etc.). In…

cs.HC2019

Scenarios for Educational and Game Activities using Internet of Things Data

Chrysanthi Tziortzioti, Irene Mavrommati, Georgios Mylonas +2

Raising awareness among young people and changing their behavior and habits concerning energy usage and the environment is key to achieving a sustainable planet. The goal to addres…

physics.bio-ph2017★ 29 cited

Comparison of Decision Tree Based Classification Strategies to Detect External Chemical Stimuli from Raw and Filtered Plant Electrical Response

Shre Kumar Chatterjee, Saptarshi Das, Koushik Maharatna +5

Plants monitor their surrounding environment and control their physiological functions by producing an electrical response. We recorded electrical signals from different plants by…

physics.bio-ph2016★ 76 cited

Exploring Strategies for Classification of External Stimuli Using Statistical Features of the Plant Electrical Response

Shre Kumar Chatterjee, Saptarshi Das, Koushik Maharatna +4

Plants sense their environment by producing electrical signals which in essence represent changes in underlying physiological processes. These electrical signals, when monitored, s…

stat.AP2016★ 15 cited

Drift Removal in Plant Electrical Signals via IIR Filtering Using Wavelet Energy

Saptarshi Das, Barry Juans Ajiwibawa, Shre Kumar Chatterjee +6

Plant electrical signals often contains low frequency drifts with or without the application of external stimuli. Quantification of the randomness in plant signals in a stimulus-sp…

physics.bio-ph2014★ 47 cited

Forward and Inverse Modelling Approaches for Prediction of Light Stimulus from Electrophysiological Response in Plants

Shre Kumar Chatterjee, Sanmitra Ghosh, Saptarshi Das +6

In this paper, system identification approach has been adopted to develop a novel dynamical model for describing the relationship between light as an environmental stimulus and the…