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Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Sensors (Basel, Switzerland), 2016-01, Vol.16 (1), p.115

2016

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Device-Free Human Activity Recognition Using Commercial WiFi Devices

IEEE journal on selected areas in communications, 2017-05, Vol.35 (5), p.1118-1131

2017

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Flexible and Stretchable Physical Sensor Integrated Platforms for Wearable Human-Activity Monitoringand Personal Healthcare

Advanced materials (Weinheim), 2016-06, Vol.28 (22), p.4338-4372

2016

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Separating the impacts of climate change and human activities on streamflow: A review of methodologies and critical assumptions

Journal of hydrology (Amsterdam), 2017-05, Vol.548, p.278-290

2017

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Moving in the Anthropocene: Global reductions in terrestrial mammalian movements

Science (American Association for the Advancement of Science), 2018-01, Vol.359 (6374), p.466-469

2018

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Anticipating Human Activities Using Object Affordances for Reactive Robotic Response

IEEE transactions on pattern analysis and machine intelligence, 2016-01, Vol.38 (1), p.14-29

2016

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Global-scale human impact on delta morphology has led to net land area gain

Nature (London), 2020-01, Vol.577 (7791), p.514-518

2020

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A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices

IEEE journal of biomedical and health informatics, 2017-01, Vol.21 (1), p.56-64

2017

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Sensor-Based Datasets for Human Activity Recognition - A Systematic Review of Literature

IEEE access, 2018, Vol.6, p.59192-59210

2018

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The impacts of climate changes and human activities on net primary productivity vary across an ecotone zone in Northwest China

The Science of the total environment, 2020-04, Vol.714, p.136691-136691, Article 136691

2020

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The origin of bursts and heavy tails in human dynamics

Nature, 2005-05, Vol.435 (7039), p.207-211

BARABASI, Albert-Laszlo

2005

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Long-term perspective on wildfires in the western USA

Proceedings of the National Academy of Sciences - PNAS, 2012-02, Vol.109 (9), p.E535-E543

2012

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The impact of seasonal varied human activity on characteristics and sources of heavy metals in metropolitan road dusts

The Science of the total environment, 2018-10, Vol.637-638, p.844-854

2018

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Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning

Sensors (Basel, Switzerland), 2019-04, Vol.19 (7), p.1716

2019

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Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things

IEEE internet of things journal, 2020-07, Vol.7 (7), p.6429-6438

2020

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Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network

Sensors (Basel, Switzerland), 2018-08, Vol.18 (9), p.2892

2018

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Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey

IEEE access, 2020, Vol.8, p.210816-210836

2020

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Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model

Sensors (Basel, Switzerland), 2020-01, Vol.20 (1), p.317

2020

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A Cybertwin Based Multimodal Network for ECG Patterns Monitoring Using Deep Learning

IEEE transactions on industrial informatics, 2022-10, Vol.18 (10), p.6663-6670

2022

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A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition

Sensors (Basel, Switzerland), 2017-03, Vol.17 (3), p.529

2017

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w-HAR: An Activity Recognition Dataset and Framework Using Low-Power Wearable Devices

Sensors (Basel, Switzerland), 2020-09, Vol.20 (18), p.5356

2020

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On the Challenges and Potential of Using Barometric Sensors to Track Human Activity

Sensors (Basel, Switzerland), 2020-11, Vol.20 (23), p.6786

2020

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Classification of Human Daily Activities Using Ensemble Methods Based on Smartphone Inertial Sensors

Sensors (Basel, Switzerland), 2018-11, Vol.18 (12), p.4132

2018

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Recent evolution of the Irrawaddy (Ayeyarwady) Delta and the impacts of anthropogenic activities: A review and remote sensing survey

Geomorphology (Amsterdam, Netherlands), 2020-09, Vol.365, p.107231, Article 107231

2020

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Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Device-Free Human Activity Recognition Using Commercial WiFi Devices

Flexible and Stretchable Physical Sensor Integrated Platforms for Wearable Human-Activity Monitoringand Personal Healthcare

Separating the impacts of climate change and human activities on streamflow: A review of methodologies and critical assumptions

Moving in the Anthropocene: Global reductions in terrestrial mammalian movements

Anticipating Human Activities Using Object Affordances for Reactive Robotic Response

Global-scale human impact on delta morphology has led to net land area gain

A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices

Sensor-Based Datasets for Human Activity Recognition - A Systematic Review of Literature

The impacts of climate changes and human activities on net primary productivity vary across an ecotone zone in Northwest China

The origin of bursts and heavy tails in human dynamics

Long-term perspective on wildfires in the western USA

An index to assess the health and benefits of the global ocean

The impact of seasonal varied human activity on characteristics and sources of heavy metals in metropolitan road dusts

Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning

Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things

Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network

Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey

Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model

A Cybertwin Based Multimodal Network for ECG Patterns Monitoring Using Deep Learning

A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition

w-HAR: An Activity Recognition Dataset and Framework Using Low-Power Wearable Devices

On the Challenges and Potential of Using Barometric Sensors to Track Human Activity

Classification of Human Daily Activities Using Ensemble Methods Based on Smartphone Inertial Sensors

Recent evolution of the Irrawaddy (Ayeyarwady) Delta and the impacts of anthropogenic activities: A review and remote sensing survey

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