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A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI

Sensors (Basel, Switzerland), 2022-04, Vol.22 (7), p.2726

2022

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Wi-Fi-Based Indoor Localization and Navigation: A Robot-Aided Hybrid Deep Learning Approach

Sensors (Basel, Switzerland), 2023-07, Vol.23 (14), p.6320

2023

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Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application

Sensors (Basel, Switzerland), 2021-07, Vol.21 (15), p.5025

2021

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Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6881

2022

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A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO[sub.2] Concentration as an Example

Sensors (Basel, Switzerland), 2023-12, Vol.24 (1)

2023

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MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers

Sensors (Basel, Switzerland), 2021-03, Vol.21 (6), p.2222

2021

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Anonymous Traffic Detection Based on Feature Engineering and Reinforcement Learning

Sensors (Basel, Switzerland), 2024-04, Vol.24 (7), p.2295

2024

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Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions

Sensors (Basel, Switzerland), 2022-08, Vol.22 (16), p.5983

2022

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Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1416

2022

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Combining Model-Agnostic Meta-Learning and Transfer Learning for Regression

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.583

2023

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Human Activity Recognition Data Analysis: History, Evolutions, and New Trends

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3401

2022

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Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model

Sensors (Basel, Switzerland), 2022-01, Vol.22 (1), p.372

2022

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Mobile Sensing with Smart Wearables of the Physical Context of Distance Learning Students to Consider Its Effects on Learning

Sensors (Basel, Switzerland), 2021-10, Vol.21 (19), p.6649

2021

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Classification of the Sidewalk Condition Using Self-Supervised Transfer Learning for Wheelchair Safety Driving

Sensors (Basel, Switzerland), 2022-01, Vol.22 (1), p.380

2022

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Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning

Sensors (Basel, Switzerland), 2023-02, Vol.23 (3), p.1657

2023

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Pseudo-Labeling Optimization Based Ensemble Semi-Supervised Soft Sensor in the Process Industry

Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8471

2021

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Multi-Agent Reinforcement Learning for Traffic Flow Management of Autonomous Vehicles

Sensors (Basel, Switzerland), 2023-02, Vol.23 (5), p.2373

2023

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Studying Collaboration Dynamics in Physical Learning Spaces: Considering the Temporal Perspective through Epistemic Network Analysis

Sensors (Basel, Switzerland), 2021-04, Vol.21 (9), p.2898

2021

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Study on Human Activity Recognition Using Semi-Supervised Active Transfer Learning

Sensors (Basel, Switzerland), 2021-04, Vol.21 (8), p.2760

2021

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Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

Sensors (Basel, Switzerland), 2020-09, Vol.20 (19), p.5609

2020

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Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition

Sensors (Basel, Switzerland), 2024-01, Vol.24 (2), p.681

2024

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Open-Source Federated Learning Frameworks for IoT: A Comparative Review and Analysis

Sensors (Basel, Switzerland), 2020-12, Vol.21 (1), p.167

2020

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Expand and Shrink: Federated Learning with Unlabeled Data Using Clustering

Sensors (Basel, Switzerland), 2023-11, Vol.23 (23), p.9404

2023

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Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1483

2021

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A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges

Sensors (Basel, Switzerland), 2023-04, Vol.23 (9), p.4178

2023

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A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI

Wi-Fi-Based Indoor Localization and Navigation: A Robot-Aided Hybrid Deep Learning Approach

Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application

Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks

A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO[sub.2] Concentration as an Example

MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers

Anonymous Traffic Detection Based on Feature Engineering and Reinforcement Learning

Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions

Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey

Combining Model-Agnostic Meta-Learning and Transfer Learning for Regression

Human Activity Recognition Data Analysis: History, Evolutions, and New Trends

Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model

Mobile Sensing with Smart Wearables of the Physical Context of Distance Learning Students to Consider Its Effects on Learning

Classification of the Sidewalk Condition Using Self-Supervised Transfer Learning for Wheelchair Safety Driving

Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning

Pseudo-Labeling Optimization Based Ensemble Semi-Supervised Soft Sensor in the Process Industry

Multi-Agent Reinforcement Learning for Traffic Flow Management of Autonomous Vehicles

Studying Collaboration Dynamics in Physical Learning Spaces: Considering the Temporal Perspective through Epistemic Network Analysis

Study on Human Activity Recognition Using Semi-Supervised Active Transfer Learning

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition

Open-Source Federated Learning Frameworks for IoT: A Comparative Review and Analysis

Expand and Shrink: Federated Learning with Unlabeled Data Using Clustering

Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis

A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges

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