Human activity recognition (har) using deep learning: Review, methodologies, progress and future research directions
P Kumar, S Chauhan, LK Awasthi - Archives of Computational Methods in …, 2024 - Springer
Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …
home sectors. Using deep learning, we conduct a comprehensive survey of current state …
Explainable graph wavelet denoising network for intelligent fault diagnosis
Deep learning (DL)-based intelligent fault diagnosis methods have greatly promoted the
development of the field of fault diagnosis due to their powerful feature extraction ability for …
development of the field of fault diagnosis due to their powerful feature extraction ability for …
Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review
In the continuously developing field of cyber security, user authentication and authorization
play a vital role in protecting personal information and digital assets from unauthorized use …
play a vital role in protecting personal information and digital assets from unauthorized use …
New color image encryption using hybrid optimization algorithm and Krawtchouk fractional transformations
This paper proposes a new method for encryption of RGB color images by combining two
encryption approaches: the spatial approach and the transformation approach. The …
encryption approaches: the spatial approach and the transformation approach. The …
HAR-DeepConvLG: Hybrid deep learning-based model for human activity recognition in IoT applications
W Ding, M Abdel-Basset, R Mohamed - Information Sciences, 2023 - Elsevier
Smartphones and wearable devices have built-in sensors that can collect multivariant time-
series data that can be used to recognize human activities. Research on human activity …
series data that can be used to recognize human activities. Research on human activity …
[HTML][HTML] Improving hedonic housing price models by integrating optimal accessibility indices into regression and random forest analyses
D Rey-Blanco, JL Zofío, J González-Arias - Expert Systems with …, 2024 - Elsevier
Location indices are key in explaining variation in house prices. However, the definition of
comprehensive indices capturing all locational features, along with their efficient and timely …
comprehensive indices capturing all locational features, along with their efficient and timely …
Human activity classification using G-XGB
Wearable body sensors have recently gained popularity because they monitor user
behaviors and vital indicators. These sensors are designed to monitor various physiological …
behaviors and vital indicators. These sensors are designed to monitor various physiological …
The applications of metaheuristics for human activity recognition and fall detection using wearable sensors: A comprehensive analysis
In this paper, we study the applications of metaheuristics (MH) optimization algorithms in
human activity recognition (HAR) and fall detection based on sensor data. It is known that …
human activity recognition (HAR) and fall detection based on sensor data. It is known that …
Dual-branch interactive networks on multichannel time series for human activity recognition
The popularity of convolutional architecture has made sensor-based human activity
recognition (HAR) become one primary beneficiary. By simply superimposing multiple …
recognition (HAR) become one primary beneficiary. By simply superimposing multiple …
A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction
Extracting representative features to recognize human activities through the use of
wearables is an area of on-going research. While hand-crafted features and machine …
wearables is an area of on-going research. While hand-crafted features and machine …