Attention induced multi-head convolutional neural network for human activity recognition

Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications

(2021) Amin Ullah et al.   APPLIED SOFT COMPUTING

Att-Net: Enhanced emotion recognition system using lightweight self-attention module

(2021) Mustaqeem et al.   APPLIED SOFT COMPUTING

DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images

(2021) Fatih Demir   APPLIED SOFT COMPUTING

Sarcasm detection in mash-up language using soft-attention based bi-directional LSTM and feature-rich CNN

(2020) Deepak Jain et al.   APPLIED SOFT COMPUTING

ADCM: attention dropout convolutional module

(2020) Zhigang Liu et al.   NEUROCOMPUTING

The Layer-Wise Training Convolutional Neural Networks Using Local Loss for Sensor-Based Human Activity Recognition

(2020) Qi Teng et al.   IEEE SENSORS JOURNAL

A review and categorization of techniques on device-free human activity recognition

(2020) Zawar Hussain et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Human Activity Recognition Based on Wearable Sensor Using Hierarchical Deep LSTM Networks

(2019) LuKun Wang et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study

(2019) Mikel Canizo et al.   NEUROCOMPUTING

Attention-Based Convolutional Neural Network for Weakly Labeled Human Activities’ Recognition With Wearable Sensors

(2019) Kun Wang et al.   IEEE SENSORS JOURNAL

Multivariate LSTM-FCNs for time series classification

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A Novel IoT-Perceptive Human Activity Recognition (HAR) Approach Using Multihead Convolutional Attention

(2019) Haoxi Zhang et al.   IEEE Internet of Things Journal

Real-time human activity recognition from accelerometer data using Convolutional Neural Networks

(2018) Andrey Ignatov   APPLIED SOFT COMPUTING

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

(2018) Henry Friday Nweke et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

(2018) Yu Zhao et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

A Survey on Activity Detection and Classification Using Wearable Sensors

(2017) Maria Cornacchia et al.   IEEE SENSORS JOURNAL

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Human activity recognition with smartphone sensors using deep learning neural networks

(2016) Charissa Ann Ronao et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2016) Francisco Ordóñez et al.   SENSORS

Deep learning

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A tutorial on human activity recognition using body-worn inertial sensors

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A Survey on Human Activity Recognition using Wearable Sensors

(2012) Oscar D. Lara et al.   IEEE Communications Surveys and Tutorials