Search
Search Results
-
Multi-Class Detection of Skin Disease: Detection Using HOG and CNN Hybrid Feature Extraction
It is essential to monitor and analyse skin problems early on in order to prevent them from spreading and turning into deadly skin cancers. Due to...
-
Fully Variational Noise-Contrastive Estimation
By using the underlying theory of proper scoring rules, we design a family of noise-contrastive estimation (NCE) methods that are tractable for...
-
Fuzzy Edge Detection for the Identification of Arachnoid Cysts in Brain Images
Arachnoid cysts, prevalent yet challenging to accurately delineate in neuroimaging, can cause symptoms including headaches, seizures, and...
-
Joint channel and impulse noise estimation based on compressed sensing and Kalman filter for OFDM system
Impulse noise (IN) widely exists in many communication systems, which seriously affects the performance of OFDM communication systems. A joint...
-
Pre-trained language model-enhanced conditional generative adversarial networks for intrusion detection
As cyber threats continue to evolve, ensuring network security has become increasingly critical. Deep learning-based intrusion detection systems...
-
A Machine Learning Approach for Atrial Fibrillation Detection in Telemonitored Patients
Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. As it is typically asymptomatic, it often goes undiagnosed until major...
-
Analysis of a class of Lorenz-like stochastic resonance model and its application in induction motor fault diagnosis
Stochastic resonance (SR) is a method to enhance weak characteristic signals, but the classical model like Duffing oscillation is limited by fewer...
-
Intelligent Structural Damage Detection with MEMS-Like Sensors Noisy Data
In the recent period, in the civil engineering field, innovative structural health monitoring (SHM) techniques are under the spotlight, promoted by...
-
Tracking unlabeled cancer cells imaged with low resolution in wide migration chambers via U-NET class-1 probability (pseudofluorescence)
Cell migration is a pivotal biological process, whose dysregulation is found in many diseases including inflammation and cancer. Advances in...
-
IoT intrusion detection model based on gated recurrent unit and residual network
The sample data of the existing intrusion detection models of the Internet of Things has defects such as class imbalance and insufficient feature...
-
A Novel Warning Identification Framework for Risk-Informed Anomaly Detection
Cyber-physical systems are taking on a permanent role in the industry, such as in oil and gas or mining. These systems are expected to perform...
-
Noise in Digital Communications
In this chapter we evaluate the performance of the data transmission and digital communication systems developed in Chap.1 when the transmitted...
-
Advancing ASD detection: novel approach integrating attention graph neural networks and crossover boosted meerkat optimization
Autism spectrum disorder (ASD) is a neurodevelopmental condition that significantly impacts the lives of many children due to its hidden symptoms....
-
Image cutting in video media technology application based on detection algorithm
Speech activity detection algorithm belongs to a kind of means to judge the audio section and non audio section. Audio information diagnosis is...
-
BDFGNet: A Lightweight Salient Object Detection Network Based on Background Denoising and Feature Generation
Since its inception, salient object detection has been widely used in various image processing tasks. However, previous approaches have mainly...
-
A ubiquitous wheelchair fall detection system using low-cost embedded inertial sensors and unsupervised one-class SVM
Fall detector systems are one of the highly researched areas of Ambient Assisted Living (AAL) applications ensuring safety and autonomous living for...
-
Adaptive Gaussian Filter Based on ICEEMDAN Applying in Non-Gaussian Non-stationary Noise
Gaussian filter (GF) is a commonly used linear filter in signal and image noise reduction. However, its limitation is that it cannot adapt parameters...
-
Lane Detection
With the development of high-speed computing devices and advanced machine learning theories such as deep learning, end-to-end detection algorithms...
-
A Blind Poisson–Gaussian Noise Separation Using Learning Copula Densities
This paper develops a novel copula denoising optimization solution for separating Poisson noise from images, or removing mixtures of Poisson and...
-
Image-Based Transient Detection Algorithm for Gravitational-Wave Optical Transient Observer (GOTO) Sky Survey
The paper proposes an alternative method to detect transients for an optical telescope using a deep learning algorithm. While the previous studies...