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 …
An ensemble deep learning model for human activity analysis using wearable sensory data
Lately, the continuous temporal data from motion sensors in wearable devices has been
great interest for the research community due to its demand for analyzing human activities in …
great interest for the research community due to its demand for analyzing human activities in …
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 …
Deep ensemble learning for human activity recognition using wearable sensors via filter activation
During the past decade, human activity recognition (HAR) using wearable sensors has
become a new research hot spot due to its extensive use in various application domains …
become a new research hot spot due to its extensive use in various application domains …
[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 …
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 …
A multi-resolution fusion approach for human activity recognition from video data in tiny edge devices
Abstract Human Activity Recognition (HAR) is the process of automatic recognition of
Activities of Daily Living (ADL) from human motion data captured in various data modalities …
Activities of Daily Living (ADL) from human motion data captured in various data modalities …
[PDF][PDF] Optimal search mapping among sensors in heterogeneous smart homes
Y Yu, Z Hao, G Li, Y Liu, R Yang, H Liu - Math. Biosci. Eng, 2023 - aimspress.com
There are huge differences in the layouts and numbers of sensors in different smart home
environments. Daily activities performed by residents trigger a variety of sensor event …
environments. Daily activities performed by residents trigger a variety of sensor event …
Context-aware mutual learning for semi-supervised human activity recognition using wearable sensors
With the increasing popularity of wearable sensors, deep-learning-based human activity
recognition (HAR) has attracted great interest from both academic and industrial fields in …
recognition (HAR) has attracted great interest from both academic and industrial fields in …