46   Artículos

 
en línea
Heguang Sun, Lin Zhou, Meiyan Shu, Jie Zhang, Ziheng Feng, Haikuan Feng, Xiaoyu Song, Jibo Yue and Wei Guo    
Southern blight significantly impacts peanut yield, and its severity is exacerbated by high-temperature and high-humidity conditions. The mycelium attached to the plant?s interior quickly proliferates, contributing to the challenges of early detection an... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
James Oduor Oyoo, Jael Sanyanda Wekesa and Kennedy Odhiambo Ogada    
Road traffic collisions are among the world?s critical issues, causing many casualties, deaths, and economic losses, with a disproportionate burden falling on developing countries. Existing research has been conducted to analyze this situation using diff... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Lanyong Zhang, Ziqi Zhang and Huimin Peng    
Synchronous generators with three phases are crucial components of modern integrated power systems in ships. These generators provide power for the entire operation of the vessel. Therefore, it is of paramount importance to diagnose short-circuit faults ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jiaming Song, Xiaojuan Wang, Mingshu He and Lei Jin    
In computer networks, Network Intrusion Detection System (NIDS) plays a very important role in identifying intrusion behaviors. NIDS can identify abnormal behaviors by analyzing network traffic. However, the performance of classifier is not very good in ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Zhiguo Liang, Lijun Zhang and Xizhe Wang    
Since failure of steam turbines occurs frequently and can causes huge losses for thermal plants, it is important to identify a fault in advance. A novel clustering fault diagnosis method for steam turbines based on t-distribution stochastic neighborhood ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Duo Sun, Lei Zhang, Kai Jin, Jiasheng Ling and Xiaoyuan Zheng    
Aiming at the imbalance of industrial control system data and the poor detection effect of industrial control intrusion detection systems on network attack traffic problems, we propose an ETM-TBD model based on hybrid machine learning and neural network ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mohammad Alauthman, Amjad Aldweesh, Ahmad Al-qerem, Faisal Aburub, Yazan Al-Smadi, Awad M. Abaker, Omar Radhi Alzubi and Bilal Alzubi    
Liver diseases are among the most common diseases worldwide. Because of the high incidence and high mortality rate, these diseases diagnoses are vital. Several elements harm the liver. For instance, obesity, undiagnosed hepatitis infection, and alcohol a... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Leyla Nazari, Vida Ghotbi, Mohammad Nadimi and Jitendra Paliwal    
This study proposes a hybrid gene selection method to identify and predict key genes in Arabidopsis associated with various stresses (including salt, heat, cold, high-light, and flagellin), aiming to enhance crop tolerance. An open-source microarray data... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jianjing Deng, Xiangfeng Yang, Liwen Liu, Lei Shi, Yongsheng Li and Yunchuan Yang    
Underwater acoustic homing weapons (UAHWs) are formidable underwater weapons with the capability to detect, identify, and rapidly engage targets. Swift and precise target identification is crucial for the successful engagement of targets via UAHWs. This ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Omar Azib Alkhudaydi, Moez Krichen and Ans D. Alghamdi    
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart objects intensifies cybersecurity threats. The vast communication traffic data between Internet of Things (IoT) devices presents a considerable challenge in defendin... ver más
Revista: Information    Formato: Electrónico

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