In the past few years, agricultural production studies have gained popularity, showing signs of rapid development. Using different kinds of computer technology, the newest thing to come along makes it easier for farme...
详细信息
Energy consumption is an important aspect of the energy management system. Over the past few decades, it has been recorded that there has been a drastic increase in global energy use. As a result, every country develo...
详细信息
Forensic investigations rely heavily on the accurate detection and analysis of crime related objects present at crime scenes. Traditional methods of object detection often involve manual labor and are error prone proc...
详细信息
Scheduling tasks in overloaded real-time systems is a challenging problem that has received a significant amount of attention in recent years. The processor is overloaded with more tasks than its capacity, resulting i...
详细信息
By generating massive gene transcriptome data and analyzing transcriptomic variations at the cell level, single-cell RNA-sequencing (scRNA-seq) technology has provided new way to explore cellular heterogeneity and fun...
详细信息
By generating massive gene transcriptome data and analyzing transcriptomic variations at the cell level, single-cell RNA-sequencing (scRNA-seq) technology has provided new way to explore cellular heterogeneity and functionality. Clustering scRNA-seq data could discover the hidden diversity and complexity of cell populations, which can aid to the identification of the disease mechanisms and biomarkers. In this paper, a novel method (DSINMF) is presented for single cell RNA sequencing data by using deep matrix factorization. Our proposed method comprises four steps: first, the feature selection is utilized to remove irrelevant features. Then, the dropout imputation is used to handle missing value problem. Further, the dimension reduction is employed to preserve data characteristics and reduce noise effects. Finally, the deep matrix factorization with bi-stochastic graph regularization is used to obtain cluster results from scRNA-seq data. We compare DSINMF with other state-of-the-art algorithms on nine datasets and the results show our method outperformances than other methods. IEEE
A key component for preserving a WSN's integrity is designing an intrusion detection system (IDS). This article covers several sorts of security threats that may occur in a WSN. It proposes a detection of maliciou...
详细信息
Encrypted malware traffic presents a considerable challenge, as traditional signature-based detection methods are incapable of inspecting the contents of such traffic, while deep packet inspection systems are often cr...
详细信息
The purpose of this work is to present and access a comprehensive analysis of an advanced facial acne classification method that is focused on machine learning. Hormonal acne, pustules, papules, cysts, blackheads (ope...
详细信息
Given a graph G= (V, E) and a list of available colors L(v) for each vertex v∈ V, where L(v) ⊆ { 1, 2, …, k}, List k -Coloring refers to the problem of assigning colors to the vertices of G so that each vertex recei...
详细信息
作者：
Alharby, MaherTaibah University
College of Computer Science and Engineering Department of Computer Science Medina Saudi Arabia
The number of diabetic patients in Saudi Arabia has been increasing recently. Since those patients often visit various healthcare institutions, large amounts of data related to their general health are generated. This...
详细信息
暂无评论