A reference architecture for smart and software-defined buildings
The vision encompassing Smart and Software-defined Buildings (SSDB) is becoming more
popular and its implementation is now more accessible due to the widespread adoption of …
popular and its implementation is now more accessible due to the widespread adoption of …
[HTML][HTML] Toward soft real-time stress detection using wrist-worn devices for human workspaces
Continuous exposure to stress leads to many health problems and substantial economic
loss in companies. A lot of attention has been given to the development of wearable systems …
loss in companies. A lot of attention has been given to the development of wearable systems …
Robust low-rank representation via residual projection for image classification
K Hui, X Shen, SE Abhadiomhen, Y Zhan - Knowledge-Based Systems, 2022 - Elsevier
Noisy interference and high dimensionality are the main challenges in image classification.
In this paper, a robust low-rank representation via residual projection is proposed. Different …
In this paper, a robust low-rank representation via residual projection is proposed. Different …
Employing deep learning and time series analysis to tackle the accuracy and robustness of the forecasting problem
H Tariq, MK Hanif, MU Sarwar, S Bari… - Security and …, 2021 - Wiley Online Library
Crime is a bone of contention that can create a societal disturbance. Crime forecasting using
time series is an efficient statistical tool for predicting rates of crime in many countries around …
time series is an efficient statistical tool for predicting rates of crime in many countries around …
Smartwatch‐Based Legitimate User Identification for Cloud‐Based Secure Services
Smartphones are ubiquitously integrated into our home and work environment and users
frequently use them as the portal to cloud‐based secure services. Since smartphones can …
frequently use them as the portal to cloud‐based secure services. Since smartphones can …
Precise measurement of physical activities and high-impact motion: Feasibility of smart activity sensor system
HP Liu, YM Chuang, CH Liu, PC Yang… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Today, over 72% of the world-wide population lives beyond the age of 65. Senior care has
become one of the single most relevant challenges globally. There are many relevant issues …
become one of the single most relevant challenges globally. There are many relevant issues …
Seeking optimum system settings for physical activity recognition on smartwatches
Physical activity recognition using wearable devices can provide valued information
regarding an individual's degree of functional ability and lifestyle. Smartphone-based …
regarding an individual's degree of functional ability and lifestyle. Smartphone-based …
Utility metric for unsupervised feature selection
Feature selection techniques are very useful approaches for dimensionality reduction in
data analysis. They provide interpretable results by reducing the dimensions of the data to a …
data analysis. They provide interpretable results by reducing the dimensions of the data to a …
Accurate and robust walking speed estimation with adaptive regression models for wrist-worn devices
Y Cho, H Cho, CM Kyung - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
With the rise of interest in watch-type and wristband-type devices, wrist-worn devices have
become a growing market in the field of wearable activity tracking devices. However, activity …
become a growing market in the field of wearable activity tracking devices. However, activity …
[PDF][PDF] Multi sensor-based implicit user identification
Smartphones have ubiquitously integrated into our home and work environments, however,
users normally rely on explicit but inefficient identification processes in a controlled …
users normally rely on explicit but inefficient identification processes in a controlled …