-
Article
Open AccessTransformer fusion-based scale-aware attention network for multispectral victim detection
The aftermath of a natural disaster leaves victims trapped in rubble which is challenging to detect by smart drones due to the victims in low visibility under the adverse disaster environments and victims in v...
-
Article
A novel atrial fibrillation automatic detection algorithm based on ensemble learning and multi-feature discrimination
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia disorder that necessitates long-time electrocardiogram (ECG) data for clinical diagnosis, leading to low detection efficiency. Automatic detection of ...
-
Article
An effective premature ventricular contraction detection algorithm based on adaptive template matching and characteristic recognition
Traditional premature ventricular contraction (PVC) detection algorithms based on template matching use fixed templates which is sensitive to the variability of electrocardiogram (ECG) and is likely to reduce ...
-
Article
Digital audio tampering detection based on spatio-temporal representation learning of electrical network frequency
The majority of Digital Audio Tampering Detection (DATD) methods, which are based on Electrical Network Frequency (ENF), predominantly concentrate on the static spatial information of ENF. Unfortunately, this ...
-
Article
GSISTA-Net: generalized structure ISTA networks for image compressed sensing based on optimized unrolling algorithm
Image compressed sensing technology, particularly algorithm unrolling networks, has garnered significant attention in the field of compressed sensing due to their interpretability and high performance. However...
-
Article
High-Quality Image Compressed Sensing and Reconstruction with Multi-scale Dilated Convolutional Neural Network
Deep learning (DL)-based compressed sensing (CS) has been applied for better performance of image reconstruction than traditional CS methods. However, most existing DL methods utilize the block-by-block measur...
-
Article
Hierarchical Recursive Least Squares Estimation Algorithm for Secondorder Volterra Nonlinear Systems
This paper considers the parameter identification problems of a Volterra nonlinear system. In order to overcome the excessive calculation amount of the Volterra systems, a hierarchical least squares algorithm ...
-
Article
Atrial Fibrillation Detection Using a Feedforward Neural Network
In this study, we aimed to develop an automatic atrial fibrillation detection technique for the early prediction of atrial fibrillation, that can be used with wearable devices.
-
Article
Two-stage Gradient-based Iterative Estimation Methods for Controlled Autoregressive Systems Using the Measurement Data
This paper considers the parameter identification problems of controlled autoregressive systems using observation information. According to the hierarchical identification principle, we decompose the controlle...
-
Article
Robust global motion estimation for video security based on improved k-means clustering
The global motion vectors estimation is the most critical step for eliminating undesirable disturbances in unsafe video. In this paper, we proposed a novel global motion estimation approach based on improved K...
-
Article
A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems
For a multivariable system with moving average noise (i.e., a multivariable controlled autoregressive moving average system), this paper proposes a filtering based extended stochastic gradient (ESG) algorithm ...
-
Article
Open AccessClassification of epileptic EEG signals based on simple random sampling and sequential feature selection
Electroencephalogram (EEG) signals are used broadly in the medical fields. The main applications of EEG signals are the diagnosis and treatment of diseases such as epilepsy, Alzheimer, sleep problems and so on...
-
Article
Open AccessMinimum node degree of k-connected vehicular ad hoc networks in highway scenarios
A vehicular ad hoc network (VANET) is a specific type of mobile ad hoc networks (MANETs); it can provide direct or multi-hop vehicle-to-vehicle (V2V), vehicle-to-roadside (V2R), vehicle-to-pedestrian (V2P), an...
-
Chapter and Conference Paper
Orthogonal Basis Extreme Learning Algorithm and Function Approximation
A new algorithm for single hidden layer feedforward neural networks (SLFN), Orthogonal Basis Extreme Learning (OBEL) algorithm, is proposed and the algorithm derivation is given in the paper. The algorithm can...
-
Article
Open AccessA combined algorithm for T-wave alternans qualitative detection and quantitative measurement
T-wave alternans (TWA) provides a noninvasive and clinically useful marker for the risk of sudden cardiac death (SCD). Current most widely used TWA detection algorithms work in two different domains: time and ...
