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Rôle de la surconsommation de corticoïdes dans l’émergence des sinusites fongiques

La revue de medecine interne, 2024-06, Vol.45, p.A220-A220

2024

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Decision Making and Security Risk Management for IoT Environments

2024

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Internet of Things Overview: Architecture, Technologies, Application, and Challenges

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.1-19

2024

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UAV-Based IoT Applications for Action Recognition

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.171-197

2024

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Fake News in Social Media: Fake News Themes and Intentional Deception in the News and on Social Media

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.219-229

2024

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Intrusion Detection Systems Using Machine Learning

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.75-98

2024

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IoMT Applications Perspectives: From Opportunities and Security Challenges to Cyber-Risk Management

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.21-37

2024

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A New Proposed Model for the Influence of Climate Change on the Tension Anticipation in Hospital Emergencies

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.125-145

2024

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Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.99-124

2024

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Cybersecurity Challenges and Implications for the Adoption of Cloud Computing and IoT: DDoS Attacks as an Example

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.39-51

2024

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Implementation of the C4.5 Algorithm in the Internet of Things Applications

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.53-74

2024

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Federated Learning for Market Surveillance

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.199-218

2024

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Statistical Downscaling Modeling for Temperature Prediction

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106, p.147-169

2024

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Intro

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106

2024

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About the Book

Decision Making and Security Risk Management for IoT Environments, 2024, Vol.106

2024

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An approach based on performer-attention-guided few-shot learning model for plant disease classification

Earth science informatics, 2024-08, Vol.17 (4), p.3797-3809

Boulila, Wadii

2024

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A top-down approach for semantic segmentation of big remote sensing images

Earth science informatics, 2019-09, Vol.12 (3), p.295-306

Boulila, Wadii

2019

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Big data and IoT-based applications in smart environments: A systematic review

Computer science review, 2021-02, Vol.39, p.100318, Article 100318

2021

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Ehresmann Semigroups from a Range Restriction Viewpoint

Journal of mathematics (Hidawi), 2021, Vol.2021, p.1-14

2021

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A Multi-Stage Deep-Learning-Based Vehicle and License Plate Recognition System with Real-Time Edge Inference

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.2120

2023

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An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (11), p.2221

2021

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Analysis of livestock breeders’ perceptions and their adaptation measures to climate change in Morocco‘s arid rangelands

Change and adaptation in socio-ecological systems, 2020-07, Vol.6 (1), p.1-25

Snaibi, Wadii

2020

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A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity

Computers in biology and medicine, 2021-09, Vol.136, p.104754-104754, Article 104754

2021

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NGMD: next generation malware detection in federated server with deep neural network model for autonomous networks

Scientific reports, 2024-05, Vol.14 (1), p.10898-10898, Article 10898

2024

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Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions

Sensors (Basel, Switzerland), 2021-11, Vol.21 (22), p.7518

2021

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Rôle de la surconsommation de corticoïdes dans l’émergence des sinusites fongiques

Decision Making and Security Risk Management for IoT Environments

Internet of Things Overview: Architecture, Technologies, Application, and Challenges

UAV-Based IoT Applications for Action Recognition

Fake News in Social Media: Fake News Themes and Intentional Deception in the News and on Social Media

Intrusion Detection Systems Using Machine Learning

IoMT Applications Perspectives: From Opportunities and Security Challenges to Cyber-Risk Management

A New Proposed Model for the Influence of Climate Change on the Tension Anticipation in Hospital Emergencies

Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan

Cybersecurity Challenges and Implications for the Adoption of Cloud Computing and IoT: DDoS Attacks as an Example

Implementation of the C4.5 Algorithm in the Internet of Things Applications

Federated Learning for Market Surveillance

Statistical Downscaling Modeling for Temperature Prediction

Intro

About the Book

An approach based on performer-attention-guided few-shot learning model for plant disease classification

A top-down approach for semantic segmentation of big remote sensing images

Big data and IoT-based applications in smart environments: A systematic review

Ehresmann Semigroups from a Range Restriction Viewpoint

A Multi-Stage Deep-Learning-Based Vehicle and License Plate Recognition System with Real-Time Edge Inference

An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification

Analysis of livestock breeders’ perceptions and their adaptation measures to climate change in Morocco‘s arid rangelands

A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity

NGMD: next generation malware detection in federated server with deep neural network model for autonomous networks

Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions

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