102   Artículos

 
en línea
Lowri Williams, Eirini Anthi and Pete Burnap    
The performance of emotive text classification using affective hierarchical schemes (e.g., WordNet-Affect) is often evaluated using the same traditional measures used to evaluate the performance of when a finite set of isolated classes are used. However,... ver más
Revista: Big Data and Cognitive Computing    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
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
AlsharifHasan Mohamad Aburbeian and Manuel Fernández-Veiga    
Securing online financial transactions has become a critical concern in an era where financial services are becoming more and more digital. The transition to digital platforms for conducting daily transactions exposed customers to possible risks from cyb... ver más
Revista: AI    Formato: Electrónico

 
en línea
Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki and Omar Elshaweesh    
This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (... ver más
Revista: Information    Formato: Electrónico

 
en línea
Annwesha Banerjee Majumder, Somsubhra Gupta, Dharmpal Singh, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos and Panagiotis Pintelas    
Heart disease is a leading global cause of mortality, demanding early detection for effective and timely medical intervention. In this study, we propose a machine learning-based model for early heart disease prediction. This model is trained on a dataset... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Sheeraz Ahmed, Zahoor Ali Khan, Syed Muhammad Mohsin, Shahid Latif, Sheraz Aslam, Hana Mujlid, Muhammad Adil and Zeeshan Najam    
Distributed denial of service (DDoS) attacks pose an increasing threat to businesses and government agencies. They harm internet businesses, limit access to information and services, and damage corporate brands. Attackers use application layer DDoS attac... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Sapna Sadhwani, Baranidharan Manibalan, Raja Muthalagu and Pranav Pawar    
The study in this paper characterizes lightweight IoT networks as being established by devices with few computer resources, such as reduced battery life, processing power, memory, and, more critically, minimal security and protection, which are easily vu... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ahmad Reda Alzighaibi    
Currently, the primary concerns on the Internet are security and privacy, particularly in encrypted communications to prevent snooping and modification of Domain Name System (DNS) data by hackers who may attack using the HTTP protocol to gain illegal acc... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Fawaz Khaled Alarfaj and Jawad Abbas Khan    
The online spread of fake news on various platforms has emerged as a significant concern, posing threats to public opinion, political stability, and the dissemination of reliable information. Researchers have turned to advanced technologies, including ma... ver más
Revista: Algorithms    Formato: Electrónico

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