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Now showing items 41-50 of 68
An online signature verification system for forgery and disguise detection
(
Springer
, 2012 , Conference Paper)
Online signatures are acquired using a digital tablet which provides all the trajectory of the signature as well as the variation in pressure with respect to time. Therefore, online signature verification achieves higher ...
Calibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals
(
IEEE Computer Society
, 2012 , Conference Paper)
This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by calibrating relevant time features and frequency features in the joint time-frequency domain. The ...
Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review
(
Elsevier Inc.
, 2015 , Article)
This paper presents a tutorial review of recent advances in the field of time-frequency (t, f) signal processing with focus on exploiting (t, f) image feature information using pattern recognition techniques for detection ...
On the selection of time-frequency features for improving the detection and classification of newborn EEG seizure signals and other abnormalities
(2012 , Conference Paper)
This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by translating some relevant time features or frequency features to the joint time-frequency domain. ...
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
(
Elsevier B.V.
, 2016 , Article)
Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ...
Principles of time-frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection
(
Elsevier Ltd
, 2015 , Article)
This paper considers the general problem of detecting change in non-stationary signals using features observed in the time-frequency (t,f) domain, obtained using a class of quadratic time-frequency distributions (QTFDs). ...
A Malicious Mining Code Detection Method Based on Multi-Features Fusion
(
IEEE Computer Society
, 2022 , Article)
With the continuous increase in the economic value of new digital currencies represented by Bitcoin, more and more cybercriminals use malicious code to occupy victims system resources and network resources for mining without ...
AI-based Intrusion Detection for Intelligence Internet of Vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With the development of intelligent technologies, Internet of Things (IoT) opens up a new era in the field of automotive networks, namely Internet of Vehicles (IoV). The main goal of IoV is to provide a secure and reliable ...
A battery health monitoring method using machine learning: A data-driven approach
(
MDPI
, 2020 , Article)
Batteries are combinations of electrochemical cells that generate electricity to power electrical devices. Batteries are continuously converting chemical energy to electrical energy, and require appropriate maintenance to ...
Computer aided diagnosis system based on machine learning techniques for lung cancer
(2012 , Conference Paper)
Cancer is a leading cause of death worldwide. Lung cancer is a type of cancer that is considered as one of the most leading causes of death globally. In Malaysia, it is the 3rd common cancer type and the 2nd type of cancer ...