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A Blockchain-Based Approach for the Creation of Digital Twins

IEEE access, 2020, Vol.8, p.34113-34126

2020

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Water and Wastewater Building CPS: Creation of Cyber-Physical Wastewater Collection System Centered on Urine Diversion

IEEE access, 2019, Vol.7, p.182477-182488

2019

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Who Can You Trust?

Issues in Science and Technology, 2019-03, Vol.35 (3), p.94-95

BOSCOVIC, DRAGAN

2019

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Using NFTs for ownership management of digital twins and for proof of delivery of their physical assets

Future generation computer systems, 2023-09, Vol.146, p.1-17

2023

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Smart agriculture assurance: IoT and blockchain for trusted sustainable produce

Computers and electronics in agriculture, 2024-09, Vol.224, p.109184, Article 109184

2024

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Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools

The Science of the total environment, 2021-04, Vol.764 (C), p.142876, Article 142876

2021

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Joint Modeling of Hyperledger Fabric and Sybil attack: Petri Net approach

Simulation modelling practice and theory, 2023-01, Vol.122, p.102674, Article 102674

2023

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Real-time monitoring of kefir-facilitated milk fermentation using microbial potentiometric sensors

Journal of environmental chemical engineering, 2022-06, Vol.10 (3), p.107491, Article 107491

2022

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Real-Time Monitoring and Control of Urea Hydrolysis in Cyber-Enabled Nonwater Urinal System

Environmental science & technology, 2019-03, Vol.53 (6), p.3187-3197

2019

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Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools

The Science of the total environment, 2020-10, Vol.764 (C)

2020

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Exploiting the Electrical Nature of Biofilms for Long-Term Monitoring of Quiescent Aquatic Environments via Open-Circuit Microbial Potentiometric Sensors: Evidence of Long-Distance Electrical Signaling

Nano LIFE, 2023-12, Vol.13 (4)

2023

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Accurate Prediction of Streamflow Using Long Short-Term Memory Network: A Case Study in the Brazos River Basin in Texas

International Journal of Environmental Science and Development, 2019, Vol.10 (10), p.294-300

2019

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Machine Learning: An Efficient Alternative to the Variable Infiltration Capacity Model for an Accurate Simulation of Runoff Rates

International Journal of Environmental Science and Development, 2019, Vol.10 (9), p.288-293

2019

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Business perspectives of end-to-end reconfigurability

IEEE wireless communications, 2006-06, Vol.13 (3), p.46-57

2006

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A Bayesian Neural Network for an Accurate Representation and Transformation of Runoff Dynamics: A Case Study of the Brazos River Basin in Texas

Journal of Environmental Science and Engineering Technology, 2020-06, Vol.8, p.41-51

2020

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UMTS border planning issues

Conference record of the annual conference - IEEE Vehicular Technology Conference, 2001, Vol.4 (53ND), p.2761-2765 vol.4

2001

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A Blockchain-Based Approach for the Creation of Digital Twins

Water and Wastewater Building CPS: Creation of Cyber-Physical Wastewater Collection System Centered on Urine Diversion

Who Can You Trust?

Using NFTs for ownership management of digital twins and for proof of delivery of their physical assets

Smart agriculture assurance: IoT and blockchain for trusted sustainable produce

Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools

Joint Modeling of Hyperledger Fabric and Sybil attack: Petri Net approach

Real-time monitoring of kefir-facilitated milk fermentation using microbial potentiometric sensors

Real-Time Monitoring and Control of Urea Hydrolysis in Cyber-Enabled Nonwater Urinal System

Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools

Exploiting the Electrical Nature of Biofilms for Long-Term Monitoring of Quiescent Aquatic Environments via Open-Circuit Microbial Potentiometric Sensors: Evidence of Long-Distance Electrical Signaling

Accurate Prediction of Streamflow Using Long Short-Term Memory Network: A Case Study in the Brazos River Basin in Texas

Machine Learning: An Efficient Alternative to the Variable Infiltration Capacity Model for an Accurate Simulation of Runoff Rates

Business perspectives of end-to-end reconfigurability

A Bayesian Neural Network for an Accurate Representation and Transformation of Runoff Dynamics: A Case Study of the Brazos River Basin in Texas

UMTS border planning issues

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