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A Cuckoo search-based optimized ensemble model (CSOEM) for the analysis of human gait

Journal of intelligent & fuzzy systems, 2023-12, Vol.45 (6), p.10887-10900

2023

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Using principles as activity drivers in human activity systems

Systems research and behavioral science, 2019-09, Vol.36 (5), p.678-686

Calvo‐Amodio, Javier

2019

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Human activity analysis: A review

ACM computing surveys, 2011-04, Vol.43 (3), p.1-43

2011

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Multi-input CNN-GRU based human activity recognition using wearable sensors

Computing, 2021-07, Vol.103 (7), p.1461-1478

2021

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What Risks Do People Perceive in Everyday Life? A Perspective Gained from the Experience Sampling Method (ESM)

Risk analysis, 2007-12, Vol.27 (6), p.1427-1439

2007

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Multioccupant Activity Recognition in Pervasive Smart Home Environments

ACM computing surveys, 2016-02, Vol.48 (3), p.1-36

2016

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A study of deep neural networks for human activity recognition

Computational intelligence, 2020-08, Vol.36 (3), p.1113-1139

2020

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Tampering with Nature: A Systematic Review

Risk analysis, 2021-01, Vol.41 (1), p.141-156

2021

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Changes in net anthropogenic nitrogen input in the watershed region of Zhanjiang Bay in south China from 1978 to 2018

Environment, development and sustainability, 2021-12, Vol.23 (12), p.17201-17219

2021

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Explainable human activity recognition based on probabilistic spatial partitions for symbiotic workplaces

International journal of computer integrated manufacturing, 2023-12, Vol.36 (12), p.1783-1800

2023

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Spatial pattern of the effects of human activities on the land surface of China and their spatial relationship with the natural environment

Environment, development and sustainability, 2022-08, Vol.24 (8), p.10379-10401

2022

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Enhancing temple surveillance through human activity recognition: A novel dataset and YOLOv4-ConvLSTM approach

Journal of intelligent & fuzzy systems, 2023-12, Vol.45 (6), p.11217-11232

2023

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Deep ensemble learning approach for lower extremity activities recognition using wearable sensors

Expert systems, 2022-07, Vol.39 (6), p.n/a

2022

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Correlation and trade-off analysis of ecosystem service value and human activity intensity: a case study of Changsha, China

Environment, development and sustainability, 2023-10

2023

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Active contrastive coding reducing label effort for sensor-based human activity recognition

Journal of intelligent & fuzzy systems, 2024-02, p.1-13

2024

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Hybrid optimized multimodal spatiotemporal feature fusion for vision-based sports activity recognition

Journal of intelligent & fuzzy systems, 2024-01, Vol.46 (1), p.1481-1501

Amsaprabhaa, M.

2024

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Classifying falls using out-of-distribution detection in human activity recognition

Ai communications, 2023-10, Vol.36 (4), p.251-267

2023

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Human activity recognition based on an amalgamation of CEV & SGM features

Journal of intelligent & fuzzy systems, 2022-01, Vol.43 (6), p.7351-7362

2022

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Investigating classification performance of hybrid deep learning and machine learning architectures on activity recognition

Computational intelligence, 2022-08, Vol.38 (4), p.1402-1449

2022

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Human activity recognition based on multi‐instance learning

Expert systems, 2023-08, Vol.40 (7), p.n/a

2023

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ECG-NETS – A novel integration of capsule networks and extreme gated recurrent neural network for IoT based human activity recognition

Journal of intelligent & fuzzy systems, 2023-05, Vol.44 (5), p.8219-8229

2023

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Development of a Hybrid Deep-Learning Model for the Human Activity Recognition based on the Wristband Accelerometer Signals

Inteonet jeongbo hakoe nonmunji = Journal of Korean Society for Internet Information, 2021-06, Vol.22 (3), p.9-16

2021

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An integrative approach of the physical-based stability index mapping with the maximum entropy stochastic model for risk analysis of mass movements

Environment, development and sustainability, 2023-03, Vol.25 (3), p.2808-2830

2023

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Eye‐Tact: An ensemble based multi‐model and multidimensional approach for fall prediction and evaluation in Parkinson's Disease patients

Expert systems, 2022-11

2022

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A robust convolutional neural network for online smartphone-based human activity recognition

Journal of intelligent & fuzzy systems, 2018-01, Vol.35 (2), p.1609-1620

2018

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A Cuckoo search-based optimized ensemble model (CSOEM) for the analysis of human gait

Using principles as activity drivers in human activity systems

Human activity analysis: A review

Multi-input CNN-GRU based human activity recognition using wearable sensors

What Risks Do People Perceive in Everyday Life? A Perspective Gained from the Experience Sampling Method (ESM)

Multioccupant Activity Recognition in Pervasive Smart Home Environments

A study of deep neural networks for human activity recognition

Tampering with Nature: A Systematic Review

Changes in net anthropogenic nitrogen input in the watershed region of Zhanjiang Bay in south China from 1978 to 2018

Explainable human activity recognition based on probabilistic spatial partitions for symbiotic workplaces

Spatial pattern of the effects of human activities on the land surface of China and their spatial relationship with the natural environment

Enhancing temple surveillance through human activity recognition: A novel dataset and YOLOv4-ConvLSTM approach

Deep ensemble learning approach for lower extremity activities recognition using wearable sensors

Correlation and trade-off analysis of ecosystem service value and human activity intensity: a case study of Changsha, China

Active contrastive coding reducing label effort for sensor-based human activity recognition

Hybrid optimized multimodal spatiotemporal feature fusion for vision-based sports activity recognition

Classifying falls using out-of-distribution detection in human activity recognition

Human activity recognition based on an amalgamation of CEV & SGM features

Investigating classification performance of hybrid deep learning and machine learning architectures on activity recognition

Human activity recognition based on multi‐instance learning

ECG-NETS – A novel integration of capsule networks and extreme gated recurrent neural network for IoT based human activity recognition

Development of a Hybrid Deep-Learning Model for the Human Activity Recognition based on the Wristband Accelerometer Signals

An integrative approach of the physical-based stability index mapping with the maximum entropy stochastic model for risk analysis of mass movements

Eye‐Tact: An ensemble based multi‐model and multidimensional approach for fall prediction and evaluation in Parkinson's Disease patients

A robust convolutional neural network for online smartphone-based human activity recognition

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