35   Artículos

 
en línea
Lin He, Shengnan Wang and Xinran Cao    
Shipping Enterprise Credit Named Entity Recognition (NER) aims to recognize shipping enterprise credit entities from unstructured shipping enterprise credit texts. Aiming at the problem of low entity recognition rate caused by complex and diverse entitie... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yibo Liu, Qingyun Zuo, Xu Wang and Teng Zong    
Entity relation extraction mainly extracts relations from text, which is one of the important tasks of natural language processing. At present, some special fields have insufficient data; for example, agriculture, the metallurgical industry, etc. There i... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jawaher Alghamdi, Yuqing Lin and Suhuai Luo    
The prevalence of fake news on social media has led to major sociopolitical issues. Thus, the need for automated fake news detection is more important than ever. In this work, we investigated the interplay between news content and users? posting behavior... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yulong Bai, Guolian Li, Tianxiu Lu, Yadong Wu, Weihan Zhang and Yidan Feng    
Most existing road network matching algorithms are designed based on previous rules and do not fully utilize the potential of big data and historical tracks. To solve this problem, we introduce a new road network matching algorithm based on deep learning... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Sakib Shahriar, Noora Al Roken and Imran Zualkernan    
The automatic classification of poems into various categories, such as by author or era, is an interesting problem. However, most current work categorizing Arabic poems into eras or emotions has utilized traditional feature engineering and machine learni... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Amr Mohamed El Koshiry, Entesar Hamed I. Eliwa, Tarek Abd El-Hafeez and Ahmed Omar    
Social media platforms have become the primary means of communication and information sharing, facilitating interactive exchanges among users. Unfortunately, these platforms also witness the dissemination of inappropriate and toxic content, including hat... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Yuan Chen and Abdul Q. M. Khaliq    
The Lee?Carter model could be considered as one of the most important mortality prediction models among stochastic models in the field of mortality. With the recent developments of machine learning and deep learning, many studies have applied deep learni... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Sanjiban Sekhar Roy, Ali Ismail Awad, Lamesgen Adugnaw Amare, Mabrie Tesfaye Erkihun and Mohd Anas    
In today?s world, phishing attacks are gradually increasing, resulting in individuals losing valuables, assets, personal information, etc., to unauthorized parties. In phishing, attackers craft malicious websites disguised as well-known, legitimate sites... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Amit Sagu, Nasib Singh Gill, Preeti Gulia, Jyotir Moy Chatterjee and Ishaani Priyadarshini    
With the growth of the Internet of Things (IoT), security attacks are also rising gradually. Numerous centralized mechanisms have been introduced in the recent past for the detection of attacks in IoT, in which an attack recognition scheme is employed at... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
José Escorcia-Gutierrez, Margarita Gamarra, Roosvel Soto-Diaz, Meglys Pérez, Natasha Madera and Romany F. Mansour    
Soil nutrients are a vital part of soil fertility and other environmental factors. Soil testing is an efficient tool used to evaluate the existing nutrient levels of soil and aid to compute the appropriate quantity of soil nutrients depending upon the fe... ver más
Revista: Agriculture    Formato: Electrónico

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