105   Artículos

 
en línea
Sepideh Molaei, Stefano Cirillo and Giandomenico Solimando    
MicroRNAs (miRNAs) play a crucial role in cancer development, but not all miRNAs are equally significant in cancer detection. Traditional methods face challenges in effectively identifying cancer-associated miRNAs due to data complexity and volume. This ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Shifeng Chen, Jialin Wang and Ketai He    
The popularization of the internet and the widespread use of smartphones have led to a rapid growth in the number of social media users. While information technology has brought convenience to people, it has also given rise to cyberbullying, which has a ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Jianlei Qiao, Yonglu Lv, Yucai Feng, Chang Liu, Yi Zhang, Jinying Li, Shuang Liu and Xiaohui Weng    
At present, the electronic nose has became a new technology for the rapid detection of pesticides. However, the technique may misidentify them for samples that have not been involved in training. Therefore, a hybrid model based on unsupervised and superv... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Enrico Santangelo, Angelo Del Giudice, Simone Figorilli, Simona Violino, Corrado Costa, Marco Bascietto, Simone Bergonzoli and Claudio Beni    
The autonecrotic tomato line V20368 (working code IGSV) spontaneously develops necrotic lesions with acropetal progression in response to an increase in temperature and light irradiation. The process is associated with the interaction between tomato and ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Wenji Yang and Xiaoying Qiu    
The damage caused by pests to crops results in reduced crop yield and compromised quality. Accurate and timely pest detection plays a crucial role in helping farmers to defend against and control pests. In this paper, a novel crop pest detection model na... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Ibomoiye Domor Mienye and Yanxia Sun    
With the rapid developments in electronic commerce and digital payment technologies, credit card transactions have increased significantly. Machine learning (ML) has been vital in analyzing customer data to detect and prevent fraud. However, the presence... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Habiba Sultana, A. H. M. Kamal, Gahangir Hossain and Muhammad Ashad Kabir    
In digital image processing and steganography, images are often described using edges and local binary pattern (LBP) codes. By combining these two properties, a novel hybrid image steganography method of secret embedding is proposed in this paper. This m... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Nikola Andelic, Sandi Baressi ?egota and Zlatan Car    
Malware detection using hybrid features, combining binary and hexadecimal analysis with DLL calls, is crucial for leveraging the strengths of both static and dynamic analysis methods. Artificial intelligence (AI) enhances this process by enabling automat... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Yuefei Sun, Xianbo Sun, Tao Hu and Li Zhu    
Despite the widespread use of artificial intelligence-based methods in detecting electricity theft by smart grid customers, current methods suffer from two main flaws: a limited amount of data on electricity theft customers compared to that on normal cus... ver más
Revista: Applied Sciences    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

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