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iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments

Software, practice & experience, 2017-09, Vol.47 (9), p.1275-1296

2017

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Mobile Edge Computing

1st Edition 2021, 2021

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Student performance analysis and prediction in classroom learning: A review of educational data mining studies

Education and information technologies, 2021, Vol.26 (1), p.205-240

2021

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One-pot synthesis of zinc oxide nanoparticles via chemical precipitation for bromophenol blue adsorption and the antifungal activity against filamentous fungi

Scientific reports, 2021-04, Vol.11 (1), p.8305-17, Article 8305

2021

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Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data

IEEE geoscience and remote sensing letters, 2016-12, Vol.13 (12), p.1984-1988

2016

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FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data

Expert systems with applications, 2019-03, Vol.117, p.211-227

2019

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Antimicrobial Resistance Threats in the emerging COVID-19 pandemic: Where do we stand?

Journal of infection and public health, 2021-05, Vol.14 (5), p.555-560

2021

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A Multilayered Adaptive Recurrent Incremental Network Model for Heterogeneity-Aware Prediction of Derived Remote Sensing Image Time Series

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-13

2022

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Enhancement of Lifetime using Duty Cycle and Network Coding in Wireless Sensor Networks

IEEE transactions on wireless communications, 2013-02, Vol.12 (2), p.656-667

2013

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Quantum localization and delocalization of charge carriers in organic semiconducting crystals

Nature communications, 2019-08, Vol.10 (1), p.3843-12, Article 3843

2019

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A Deep-Learning-Based Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis

IEEE journal of selected topics in applied earth observations and remote sensing, 2017-12, Vol.10 (12), p.5228-5236

2017

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Integrated photonics on thin-film lithium niobate

Advances in optics and photonics, 2021-06, Vol.13 (2), p.242

2021

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Terpenoids are involved in the expression of systemic‐induced resistance in Austrian pine

Plant, cell and environment, 2024-06, Vol.47 (6), p.2206-2227

2024

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Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques

Pattern recognition letters, 2018-04, Vol.105, p.155-164

2018

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A review on telemedicine-based WBAN framework for patient monitoring

Telemedicine journal and e-health, 2013-08, Vol.19 (8), p.619-626

2013

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Spatial Interpolation to Predict Missing Attributes in GIS Using Semantic Kriging

IEEE transactions on geoscience and remote sensing, 2014-08, Vol.52 (8), p.4771-4780

2014

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Mobi-IoST: Mobility-Aware Cloud-Fog-Edge-IoT Collaborative Framework for Time-Critical Applications

IEEE transactions on network science and engineering, 2020-10, Vol.7 (4), p.2271-2285

2020

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Shipping code towards data in an inter-region serverless environment to leverage latency

The Journal of supercomputing, 2023-07, Vol.79 (10), p.11585-11610

2023

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semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data

Pattern recognition letters, 2017-07, Vol.93, p.192-201

2017

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FogiRecruiter: A fog‐enabled selection mechanism of crowdsourcing for disaster management

Concurrency and computation, 2022-10, Vol.34 (23), p.n/a

2022

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RESCUE: Enabling green healthcare services using integrated IoT‐edge‐fog‐cloud computing environments

Software, practice & experience, 2022-07, Vol.52 (7), p.1615-1642

2022

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Dyes adsorption from aqueous media through the nanotechnology: A review

Journal of materials research and technology, 2021-09, Vol.14, p.2195-2218

2021

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A glimmer of hope – ash genotypes with increased resistance to ash dieback pathogen show cross‐resistance to emerald ash borer

The New phytologist, 2023-11, Vol.240 (3), p.1219-1232

2023

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Predictive maintenance of vehicle fleets through hybrid deep learning-based ensemble methods for industrial IoT datasets

Logic journal of the IGPL, 2024-07, Vol.32 (4), p.671-687

2024

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STOPPAGE: Spatio‐temporal data driven cloud‐fog‐edge computing framework for pandemic monitoring and management

Software, practice & experience, 2022-12, Vol.52 (12), p.2700-2726

2022

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iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments

Mobile Edge Computing

Student performance analysis and prediction in classroom learning: A review of educational data mining studies

One-pot synthesis of zinc oxide nanoparticles via chemical precipitation for bromophenol blue adsorption and the antifungal activity against filamentous fungi

Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data

FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data

Antimicrobial Resistance Threats in the emerging COVID-19 pandemic: Where do we stand?

A Multilayered Adaptive Recurrent Incremental Network Model for Heterogeneity-Aware Prediction of Derived Remote Sensing Image Time Series

Enhancement of Lifetime using Duty Cycle and Network Coding in Wireless Sensor Networks

Quantum localization and delocalization of charge carriers in organic semiconducting crystals

A Deep-Learning-Based Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis

Integrated photonics on thin-film lithium niobate

Terpenoids are involved in the expression of systemic‐induced resistance in Austrian pine

Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques

A review on telemedicine-based WBAN framework for patient monitoring

Spatial Interpolation to Predict Missing Attributes in GIS Using Semantic Kriging

Mobi-IoST: Mobility-Aware Cloud-Fog-Edge-IoT Collaborative Framework for Time-Critical Applications

Shipping code towards data in an inter-region serverless environment to leverage latency

semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data

FogiRecruiter: A fog‐enabled selection mechanism of crowdsourcing for disaster management

RESCUE: Enabling green healthcare services using integrated IoT‐edge‐fog‐cloud computing environments

Dyes adsorption from aqueous media through the nanotechnology: A review

A glimmer of hope – ash genotypes with increased resistance to ash dieback pathogen show cross‐resistance to emerald ash borer

Predictive maintenance of vehicle fleets through hybrid deep learning-based ensemble methods for industrial IoT datasets

STOPPAGE: Spatio‐temporal data driven cloud‐fog‐edge computing framework for pandemic monitoring and management

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