Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
An improved human activity recognition technique based on convolutional neural network
A convolutional neural network (CNN) is an important and widely utilized part of the artificial
neural network (ANN) for computer vision, mostly used in the pattern recognition system …
neural network (ANN) for computer vision, mostly used in the pattern recognition system …
WiFi-based human activity recognition through wall using deep learning
Wireless sensing is a promising method that integrates wireless mechanisms with strong
sensing capabilities. The current focus of using WiFi Channel State Information (CSI) for …
sensing capabilities. The current focus of using WiFi Channel State Information (CSI) for …
Radar micro‐Doppler signature generation based on time‐domain digital coding metasurface
Micro‐Doppler effect is a vital feature of a target that reflects its oscillatory motions apart from
bulk motion and provides an important evidence for target recognition with radars. However …
bulk motion and provides an important evidence for target recognition with radars. However …
[HTML][HTML] Enhancing CSI-based human activity recognition by edge detection techniques
Human Activity Recognition (HAR) has been a popular area of research in the Internet of
Things (IoT) and Human–Computer Interaction (HCI) over the past decade. The objective of …
Things (IoT) and Human–Computer Interaction (HCI) over the past decade. The objective of …
Radar-based human activity recognition using multi-domain multi-level fused patch-based learning
Recently, several deep-learning (DL) techniques using different types of 2-D representations
of radar returns, have been developed for radar-based human activity recognition (HAR) …
of radar returns, have been developed for radar-based human activity recognition (HAR) …
Radar‐based human activity recognition using denoising techniques to enhance classification accuracy
Radar‐based human activity recognition is considered as a competitive solution for the
elderly care health monitoring problem, compared to alternative techniques such as …
elderly care health monitoring problem, compared to alternative techniques such as …
[HTML][HTML] Progressively-orthogonally-mapped EfficientNet for action recognition on time-range-Doppler signature
Although 2D radar signal representations, such as spectrograms and range-Doppler maps
have been widely used for target recognition, 3D time-range-Doppler (TRD) has been less …
have been widely used for target recognition, 3D time-range-Doppler (TRD) has been less …
A holistic human activity recognition optimisation using AI techniques
Building on previous radar‐based human activity recognition (HAR), we expand the micro‐
Doppler signature to 6 domains and exploit each domain with a set of handcrafted features …
Doppler signature to 6 domains and exploit each domain with a set of handcrafted features …
Human motion recognition by micro-Doppler features and concatenated CNN-LSTM network
Human Motion Recognition (HMR) technology has emerged as a pivotal area of research
within indoor human sensing. Traditional approaches to HMR often rely on uncomfortable …
within indoor human sensing. Traditional approaches to HMR often rely on uncomfortable …
Improving human activity classification based on micro-doppler signatures of FMCW radar with the effect of noise
Nowadays, classifying human activities is applied in many essential fields, such as
healthcare, security monitoring, and search and rescue missions. Radar sensor-based …
healthcare, security monitoring, and search and rescue missions. Radar sensor-based …