130   Artículos

 
en línea
Monica Fira, Hariton-Nicolae Costin and Liviu Goras    
We analyzed the possibility of detecting and predicting ventricular fibrillation (VF), a medical emergency that may put people?s lives at risk, as the medical prognosis depends on the time in which medical personnel intervene. Therefore, besides immediat... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Syed Safdar Hussain and Syed Sajjad Haider Zaidi    
This study introduces a novel predictive methodology for diagnosing and predicting gear problems in DC motors. Leveraging AdaBoost with weak classifiers and regressors, the diagnostic aspect categorizes the machine?s current operational state by analyzin... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh    
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble met... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Saikat Das, Mohammad Ashrafuzzaman, Frederick T. Sheldon and Sajjan Shiva    
The distributed denial of service (DDoS) attack is one of the most pernicious threats in cyberspace. Catastrophic failures over the past two decades have resulted in catastrophic and costly disruption of services across all sectors and critical infrastru... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xiaonan Si, Lei Wang, Wenchang Xu, Biao Wang and Wenbo Cheng    
Gout is one of the most painful diseases in the world. Accurate classification of gout is crucial for diagnosis and treatment which can potentially save lives. However, the current methods for classifying gout periods have demonstrated poor performance a... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Falah Amer Abdulazeez, Ismail Taha Ahmed and Baraa Tareq Hammad    
A significant quantity of malware is created on purpose every day. Users of smartphones and computer networks now mostly worry about malware. These days, malware detection is a major concern in the cybersecurity area. Several factors can impact malware d... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Aquib Raza, Thien-Luan Phan, Hung-Chung Li, Nguyen Van Hieu, Tran Trung Nghia and Congo Tak Shing Ching    
Knee osteoarthritis (KOA) is a leading cause of disability, particularly affecting older adults due to the deterioration of articular cartilage within the knee joint. This condition is characterized by pain, stiffness, and impaired movement, posing a sig... ver más
Revista: Information    Formato: Electrónico

 
en línea
Chunling Wang, Tianyi Hang, Changke Zhu and Qi Zhang    
The Czech Republic is one of the countries along the Belt and Road Initiative, and classifying land cover in the Czech Republic helps to understand the distribution of its forest resources, laying the foundation for forestry cooperation between China and... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nureni Ayofe Azeez and Emad Fadhal    
Background: Internet social media platforms have become quite popular, enabling a wide range of online users to stay in touch with their friends and relatives wherever they are at any time. This has led to a significant increase in virtual crime from the... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Rokaya Eltehewy, Ahmed Abouelfarag and Sherine Nagy Saleh    
Rapid damage identification and classification in disastrous situations and natural disasters are crucial for efficiently directing aid and resources. With the development of deep learning techniques and the availability of imagery content on social medi... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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