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Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection

1, 2018

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Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps

Journal of cloud computing : advances, systems and applications, 2022-12, Vol.11 (1), p.85-18, Article 85

2022

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Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach

Journal of advanced transportation, 2021-06, Vol.2021, p.1-15

2021

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Implicit Life Event Discovery From Call Transcripts Using Temporal Input Transformation Network

IEEE access, 2019, Vol.7, p.172178-172189

2019

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Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps

Journal of cloud computing : advances, systems and applications, 2022-12, Vol.11 (1), p.100-1, Article 100

2022

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Abdominal Compartment Syndrome as a Multidisciplinary Challenge. A Literature Review

Journal of critical care medicine (Universitatea de Medicină și Farmacie din Târgu-Mureș), 2018-10, Vol.4 (4), p.114-119

2018

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A Fatal Case of Community Acquired Cupriavidus Pauculus Pneumonia

Journal of critical care medicine (Universitatea de Medicină și Farmacie din Târgu-Mureș), 2016-10, Vol.2 (4), p.201-204

2016

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Detecting Internet of Things attacks using distributed deep learning

Journal of network and computer applications, 2020-08, Vol.163, p.102662, Article 102662

2020

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Driverless vehicle security: Challenges and future research opportunities

Future generation computer systems, 2020-07, Vol.108, p.1092-1111

2020

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Influence of Ventilation Parameters on Intraabdominal Pressure

Journal of critical care medicine (Universitatea de Medicină și Farmacie din Târgu-Mureș), 2016-04, Vol.2 (2), p.80-84

2016

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Implementation of deep packet inspection in smart grids and industrial Internet of Things: Challenges and opportunities

Journal of network and computer applications, 2019-06, Vol.135, p.32-46

2019

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Modeling EEG Data Distribution With a Wasserstein Generative Adversarial Network to Predict RSVP Events

IEEE transactions on neural systems and rehabilitation engineering, 2020-08, Vol.28 (8), p.1720-1730

2020

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Deep learning control for complex and large scale cloud systems

Intelligent automation and soft computing, 2017-07, Vol.23 (3), p.389-391

2017

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Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression

Future generation computer systems, 2019-04, Vol.93, p.486-498

2019

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Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm

Expert systems with applications, 2023-08, Vol.224, p.119983, Article 119983

2023

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Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals

2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2020, p.400-411

2020

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Cooperative unmanned aerial vehicles with privacy preserving deep vision for real-time object identification and tracking

Journal of parallel and distributed computing, 2019-09, Vol.131, p.147-160

2019

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Toward Artificial Emotional Intelligence for Cooperative Social Human-Machine Interaction

IEEE transactions on computational social systems, 2020-02, Vol.7 (1), p.234-246

2020

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Generating EEG signals of an RSVP Experiment by a Class Conditioned Wasserstein Generative Adversarial Network

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019, p.1304-1310

2019

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Are you emotional or depressed? Learning about your emotional state from your music using machine learning

The Journal of supercomputing, 2019-06, Vol.75 (6), p.2986-3009

2019

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Misinformation Harms: A Tale of Two Humanitarian Crises

IEEE transactions on professional communication, 2020-12, Vol.63 (4), p.386-399

2020

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A Memory Network Information Retrieval Model for Identification of News Misinformation

IEEE transactions on big data, 2022-10, Vol.8 (5), p.1358-1370

2022

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A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019, p.3943-3948

2019

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Voice biometrics: Deep learning-based voiceprint authentication system

2017 12th System of Systems Engineering Conference (SoSE), 2017, p.1-6

2017

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Improved Deep Neural Network Object Tracking System for Applications in Home Robotics

Computational Intelligence for Pattern Recognition, 2018, Vol.777, p.369-395

2018

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Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection

Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps

Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach

Implicit Life Event Discovery From Call Transcripts Using Temporal Input Transformation Network

Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps

Abdominal Compartment Syndrome as a Multidisciplinary Challenge. A Literature Review

A Fatal Case of Community Acquired Cupriavidus Pauculus Pneumonia

Detecting Internet of Things attacks using distributed deep learning

Driverless vehicle security: Challenges and future research opportunities

Influence of Ventilation Parameters on Intraabdominal Pressure

Implementation of deep packet inspection in smart grids and industrial Internet of Things: Challenges and opportunities

Modeling EEG Data Distribution With a Wasserstein Generative Adversarial Network to Predict RSVP Events

Deep learning control for complex and large scale cloud systems

Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression

Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm

Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals

Cooperative unmanned aerial vehicles with privacy preserving deep vision for real-time object identification and tracking

Toward Artificial Emotional Intelligence for Cooperative Social Human-Machine Interaction

Generating EEG signals of an RSVP Experiment by a Class Conditioned Wasserstein Generative Adversarial Network

Are you emotional or depressed? Learning about your emotional state from your music using machine learning

Misinformation Harms: A Tale of Two Humanitarian Crises

A Memory Network Information Retrieval Model for Identification of News Misinformation

A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals

Voice biometrics: Deep learning-based voiceprint authentication system

Improved Deep Neural Network Object Tracking System for Applications in Home Robotics

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