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Yin Tang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2023)
Exploring edge TPU for network intrusion detection in IoT
Seyedehfaezeh Hosseininoorbin et al.
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Seyedehfaezeh Hosseininoorbin et al.
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Channel-Equalization-HAR: A Light-weight Convolutional Neural Network for Wearable Sensor Based Human Activity Recognition
Wenbo Huang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2023)
A survey on the use of machine learning methods in context-aware middlewares for human activity recognition
Leandro Miranda et al.
ARTIFICIAL INTELLIGENCE REVIEW (2022)
Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation
Wenbo Huang et al.
ACM Transactions on Embedded Computing Systems (2022)
Human activity recognition using wearable sensors by heterogeneous convolutional neural networks
Chaolei Han et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
Sensor-data augmentation for human activity recognition with time-warping and data masking
Chi Yoon Jeong et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2021)
Generation of fully non-stationary random processes consistent with target seismic accelerograms
G. Muscolino et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2021)
Deep learning-based cattle behaviour classification using joint time-frequency data representation
Seyedehfaezeh Hosseininoorbin et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review
E. Ramanujam et al.
IEEE SENSORS JOURNAL (2021)
Sequential Weakly Labeled Multiactivity Localization and Recognition on Wearable Sensors Using Recurrent Attention Networks
Kun Wang et al.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS (2021)
Industry 4.0-Oriented Deep Learning Models for Human Activity Recognition
Saeed Mohsen et al.
IEEE ACCESS (2021)
A Novel IoT-Perceptive Human Activity Recognition (HAR) Approach Using Multihead Convolutional Attention
Haoxi Zhang et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
Xiaokang Zhou et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey
Florenc Demrozi et al.
IEEE ACCESS (2020)
Deep Human Activity Recognition With Localisation of Wearable Sensors
Isah A. Lawal et al.
IEEE ACCESS (2020)
Effect of spectrogram resolution on deep-neural-network-based speech enhancement
Daiki Takeuchi et al.
ACOUSTICAL SCIENCE AND TECHNOLOGY (2020)
A survey on wearable sensor modality centred human activity recognition in health care
Yan Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
An Energy-Efficient Method for Human Activity Recognition with Segment-Level Change Detection and Deep Learning
Chi Yoon Jeong et al.
SENSORS (2019)
Machine learning algorithms towards merging of mobile edge computing and Internet of Things
Gunasekaran Manogaran et al.
COMPUTER NETWORKS (2019)
Time-frequency based feature extraction for the analysis of vibroarthographic signals
Saif Nalband et al.
COMPUTERS & ELECTRICAL ENGINEERING (2018)
Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing
He Li et al.
IEEE NETWORK (2018)
Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0
Xiaochen Zheng et al.
SENSORS (2018)
Wearable Activity Tracker Use Among Australian Adolescents: Usability and Acceptability Study
Nicola D. Ridgers et al.
JMIR MHEALTH AND UHEALTH (2018)
A Review of Wearable Technologies for Elderly Care that Can Accurately Track Indoor Position, Recognize Physical Activities and Monitor Vital Signs in Real Time
Zhihua Wang et al.
SENSORS (2017)
Adaptive sliding window segmentation for physical activity recognition using a single tri-axial accelerometer
Mohd Halim Mohd Noor et al.
PERVASIVE AND MOBILE COMPUTING (2017)
Position-aware activity recognition with wearable devices
Timo Sztyler et al.
PERVASIVE AND MOBILE COMPUTING (2017)
A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices
Daniele Ravi et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Automated analysis of song structure in complex birdsongs
Mareile Grosse Ruse et al.
ANIMAL BEHAVIOUR (2016)
An Efficient Adaptive Window Size Selection Method for Improving Spectrogram Visualization
Shibli Nisar et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2016)
A framework for collaborative computing and multi-sensor data fusion in body sensor networks
Giancarlo Fortino et al.
INFORMATION FUSION (2015)
A Survey on Human Activity Recognition using Wearable Sensors
Oscar D. Lara et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2013)
Performance comparison of bilinear interpolation, bicubic interpolation, and B-spline interpolation in parallel phase-shifting digital holography
Peng Xia et al.
OPTICAL REVIEW (2013)
The Internet of Things: A survey
Luigi Atzori et al.
COMPUTER NETWORKS (2010)
On arousal from sleep: time-frequency analysis
M. O. Mendez et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2008)
A new technique to reduce cross terms in the Wigner distribution
Ram Bilas Pachori et al.
DIGITAL SIGNAL PROCESSING (2007)
Non-stationary syllables in birdsong: an example
R Laje et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2003)