Time series classification by Euclidean distance-based visibility graph
The analysis and discrimination of time series data has important practical significance.
Currently, transforming the time series data into networks through visibility graph (VG) …
Currently, transforming the time series data into networks through visibility graph (VG) …
Energy‐Efficient Cluster Formation in IoT‐Enabled Wireless Body Area Network
Wireless sensor network is widely used in different IoT‐enabled applications such as health
care, underwater sensor networks, body area networks, and various offices. A sensor node …
care, underwater sensor networks, body area networks, and various offices. A sensor node …
Analyzing drivers' distractions due to smartphone usage: evidence from AutoLog dataset
The usage of a smartphone while driving has been declared a global portent and has been
admitted as a leading cause of crashes and accidents. Numerous solutions, such as Android …
admitted as a leading cause of crashes and accidents. Numerous solutions, such as Android …
[Retracted] Automated Detection of Rehabilitation Exercise by Stroke Patients Using 3‐Layer CNN‐LSTM Model
According to statistics, stroke is the second or third leading cause of death and adult
disability. Stroke causes losing control of the motor function, paralysis of body parts, and …
disability. Stroke causes losing control of the motor function, paralysis of body parts, and …
SmartLog: a smart TV-based lifelogging system for capturing, storing, and visualizing watching behavior
The modern smart TV can record viewers' daily life-watching experiences called digital logs.
These logs can be used for various purposes, including but not limited to recommendations …
These logs can be used for various purposes, including but not limited to recommendations …
Smart TV-based lifelogging systems: current trends, challenges, and the road ahead
The proliferation of ubiquitous computing devices, such as smartphones, biometric devices,
fitness devices, entertainment gadgets, wearable, and nonwearable devices, enabled us to …
fitness devices, entertainment gadgets, wearable, and nonwearable devices, enabled us to …
T-wavenet: A tree-structured wavelet neural network for time series signal analysis
Time series signal analysis plays an essential role in many applications, eg, activity
recognition and healthcare monitoring. Recently, features extracted with deep neural …
recognition and healthcare monitoring. Recently, features extracted with deep neural …
ConTEXT: context-aware adaptive SMS client for drivers to reduce risky driving behaviors
Text messaging while driving has been considered a dangerous activity that may lead to
serious injuries and traffic fatalities. Several assistive technologies and solutions have been …
serious injuries and traffic fatalities. Several assistive technologies and solutions have been …
AutoLog: toward the design of a vehicular lifelogging framework for capturing, storing, and visualizing LifeBits
Vehicular lifelogging provides us with the opportunity to digitally record life associated with
our journeys on the road. Driving on the road is an integral part of life, and it should be given …
our journeys on the road. Driving on the road is an integral part of life, and it should be given …
NOMA and OMA‐Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks
The Internet of Things (IoT) has brought about various global changes, as all devices will be
connected. This article examines the latest 5G solutions for enabling a massive cellular …
connected. This article examines the latest 5G solutions for enabling a massive cellular …