From model, signal to knowledge: A data-driven perspective of fault detection and diagnosis
X Dai, Z Gao - IEEE Transactions on Industrial Informatics, 2013 - ieeexplore.ieee.org
This review paper is to give a full picture of fault detection and diagnosis (FDD) in complex
systems from the perspective of data processing. As a matter of fact, an FDD system is a data …
systems from the perspective of data processing. As a matter of fact, an FDD system is a data …
A survey of body sensor networks
X Lai, Q Liu, X Wei, W Wang, G Zhou, G Han - Sensors, 2013 - mdpi.com
The technology of sensor, pervasive computing, and intelligent information processing is
widely used in Body Sensor Networks (BSNs), which are a branch of wireless sensor …
widely used in Body Sensor Networks (BSNs), which are a branch of wireless sensor …
WiFi CSI based passive human activity recognition using attention based BLSTM
Human activity recognition can benefit various applications including healthcare services
and context awareness. Since human actions will influence WiFi signals, which can be …
and context awareness. Since human actions will influence WiFi signals, which can be …
A survey on activity detection and classification using wearable sensors
Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
Robust human activity recognition using smartphone sensors via CT-PCA and online SVM
Human activity recognition using either wearable devices or smartphones can benefit
various applications including healthcare, fitness, smart home, etc. Instead of using …
various applications including healthcare, fitness, smart home, etc. Instead of using …
A smartphone sensors-based personalized human activity recognition system for sustainable smart cities
Abstract According to the Sustainable Development Agenda 2030 of the World Health
Organization, maintaining physical activities have multiple societal privileges for healthier …
Organization, maintaining physical activities have multiple societal privileges for healthier …
IoTSim‐Edge: a simulation framework for modeling the behavior of Internet of Things and edge computing environments
With the proliferation of Internet of Things (IoT) and edge computing paradigms, billions of
IoT devices are being networked to support data‐driven and real‐time decision making …
IoT devices are being networked to support data‐driven and real‐time decision making …
A novel ensemble ELM for human activity recognition using smartphone sensors
Human activity recognition plays a unique role in many important applications, including
ubiquitous computing, health-care services, and smart buildings. Due to the nonintrusive …
ubiquitous computing, health-care services, and smart buildings. Due to the nonintrusive …
Business intelligence for enterprise systems: a survey
Business intelligence (BI) is the process of transforming raw data into useful information for
more effective strategic, operational insights, and decision-making purposes so that it yields …
more effective strategic, operational insights, and decision-making purposes so that it yields …
Distilling the knowledge from handcrafted features for human activity recognition
Human activity recognition is a core problem in intelligent automation systems due to its far-
reaching applications including ubiquitous computing, health-care services, and smart …
reaching applications including ubiquitous computing, health-care services, and smart …