Accurate and rapid diagnosis of COVID-19 using chest X-ray (CXR) plays an important role in large-scale screening epidemic prevention. Unfortunately, identifying from the CXR images is challenging as its radiographic features have a variety complex appearances, such widespread ground-glass opacities diffuse reticular-nodular opacities. To solve this problem, we propose adaptive attention network (AANet), which can adaptively extract characteristic findings infected regions with various...

Among the numerous deep learning-based object detection algorithms, YOLO (You Only Look Once) series has become a preferred choice for various scenarios due to its fast speed, high accuracy, and strong adaptability. However, performance remains suboptimal when applied unconventional images, such as aerial which often feature complex content small targets. To overcome this limitation, novel model called YOLOv8-TDE (Tiny Detection Enhanced) is introduced in work. First, more effectively...

The 5th generation (5G) mobile network technology is accelerating the development of autonomous vehicles by significantly shortening communication latency and improving reliability connection transmission. However, as number increases, neither cloud servers nor multi-access edge computing (MEC) alone could sufficiently meet Quality-of-Service (QoS) requirements for computing-intensive vehicle tasks. In this paper, we consider a hierarchical offloading scenario, where tasks are allowed to...

Fetal ECG (FECG) is an important method of monitoring the health fetus, dropping perinatal morbidity and mortality, it has been a hot topic recently, so many methods extraction fetal are proposed. At same time, blind separation algorithms feasible effective for ECG, but these normally assumed that source numbers known there only signal mixed with maternal signal. In fact, pregnant woman may have multiple births, number unknown, previous no longer applicable. This paper proposes novel to...

Islanding detection is a distributed generation system an important protective measure. generally divided into two types, one the active islanding detection, and other passive detection. of power quality disturbance signal will always cause pollution; has long time large dead zone. Various existing methods have blind spots, resulting in test failure. In this paper, blind, it raised wavelet coefficients energy distribution fluctuation coefficient analysis. Then combined with reduce or even...

The sparse collaborative tracking (SCT) method has been developed for object recently, and it is very efficient robust to various occlusions. In SCT, representation (SR) plays an essential role because needs perform several manipulations of matrix (SMR) or nonnegative SMR in each iteration. So one the most challenging problems SCT how efficiently solve SMR. However, existing SR algorithms are solely vectors-based SR. They partition into a set vector-based them level-2 BLAS (Basic Linear...

Text detection and character recognition plays a very important role in the field of computer vision. Although there are many studies recognition, existing text methods mainly concentrated English characters, now is great application needs Chinese detection. As characters more complex than English, requires efficient technology. Aiming at picture, this paper presents method based on corner convolution neural network. Firstly, we use image processing technology to preprocess input image, then...

Abstract Health and medical data frequently contain sensitive patient information that must be protected. Existing visual security schemes for images exhibit limitations in the imperceptibility of cipher performance image reconstruction. This paper introduces evaluates a novel approach called Visual Meaningful Image Encryption (VMIE) securing images. The proposed VMIE scheme employs chaotic system based on Duffing equation initial encryption. Medical are processed encrypted sparse domain. A...

This paper presents a selective spectrum sensing and access strategy in cognitive radio sensor network (CRSN), order to maximize the throughput of secondary user (SU) system. An SU senses multiple channels simultaneously via wideband sensing. To reduce energy consumption, not all are sensed. The selects some for accesses these based on results. unselected accessed directly with low transmission power. A selection making algorithm partially observable Markov decision process (POMDP) theory is...

Symmetric nonnegative matrix factorization (SNMF) approximates a symmetric by the product of low-rank and its transpose. SNMF has been successfully used in many real-world applications such as clustering. In this paper, we propose an accelerated variant multiplicative update (MU) algorithm He et al. designed to solve problem. The is derived using extrapolation scheme Nesterov restart strategy. plays leading role accelerating MU strategy ensures that objective function monotonically...

Extraction of fetal electrocardiogram (FECG) is currently focused as a prominent issue medical research. Normally, FECG can be extracted from the maternal abdominal recordings by conventional blind source separation algorithm. However, need to meet linear mixing model (BSS), which makes it difficult apply in practical environment. In view this fact, our paper introduces discriminant method BSS based on correlations analysis. The sparse areas signals are located firstly, and then correlation...

With a number of large centralized photovoltaic power plants connected to the grid. Junction and generation systems grid, which is point common coupling. Often due unstable output caused by abnormal voltage outlets. So, PCC becomes measure grid system stable reliable vital sign. Generally, can be viewed as nonlinear unstable. This paper presents an improved version PV plant network stability discrimination method. Simulation results show that proposed method in practical application project....

Online course is a promising education paradigm to offer easy-to-access knowledge for everyone. However, the overemphasis on online may lead fragmentation of and distract attention away from on-campus courses student. To tackle this dilemma, we investigate Flipped Classroom teaching model by combing advantages in paper. We study multi-dimensional design blended teaching, including content, digital questionnaires plan. Specifically, conduct case professional engineering majors, Signal System,...

With the rapid development of Internet technology, more and industries use advanced network information technology to manage information. in-depth promotion in field education, traditional education model can't fully meet needs education. The concept a new form that combines namely "Internet + education" is proposed. This paper studies Web-based Chinese question bank system take one important basic courses, "Computer Culture Foundation" as an example, Furthermore, set database developed for...