397   Artículos

 
en línea
Young Hwan Choi and Joong Hoon Kim    
This study compares the performance of self-adaptive optimization approaches in efficient water distribution systems (WDS) design and presents a guide for the selection of the appropriate method employing optimization utilizing the characteristic of each... ver más
Revista: Water    Formato: Electrónico

 
en línea
Fabi Prezja, Leevi Annala, Sampsa Kiiskinen and Timo Ojala    
Diagnosing knee joint osteoarthritis (KOA), a major cause of disability worldwide, is challenging due to subtle radiographic indicators and the varied progression of the disease. Using deep learning for KOA diagnosis requires broad, comprehensive dataset... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Mazen Gazzan and Frederick T. Sheldon    
Ransomware attacks have emerged as a significant threat to critical data and systems, extending beyond traditional computers to mobile and IoT/Cyber?Physical Systems. This study addresses the need to detect early ransomware behavior when only limited dat... ver más
Revista: Information    Formato: Electrónico

 
en línea
Paolo Fantozzi, Valentina Rotondi, Matteo Rizzolli, Paola Dalla Torre and Maurizio Naldi    
Moral features are essential components of TV series, helping the audience to engage with the story, exploring themes beyond sheer entertainment, reflecting current social issues, and leaving a long-lasting impact on the viewers. Their presence shows thr... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yugen Yi, Haoming Zhang, Ningyi Zhang, Wei Zhou, Xiaomei Huang, Gengsheng Xie and Caixia Zheng    
As the feature dimension of data continues to expand, the task of selecting an optimal subset of features from a pool of limited labeled data and extensive unlabeled data becomes more and more challenging. In recent years, some semi-supervised feature se... ver más
Revista: Information    Formato: Electrónico

 
en línea
Quoc Tuan Nguyen Diep, Hoang Nhut Huynh, Minh Quan Cao Dinh, Thanh Ven Huynh, Anh Tu Tran and Trung Nghia Tran    
This research investigates the critical role of frequency selection in Electrical Impedance Tomography (EIT), a non-invasive imaging technique that reconstructs internal conductivity distributions through injected electrical currents. Empirical frequency... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yuzhu Zhang and Hao Xu    
This study investigates the problem of decentralized dynamic resource allocation optimization for ad-hoc network communication with the support of reconfigurable intelligent surfaces (RIS), leveraging a reinforcement learning framework. In the present co... ver más
Revista: Algorithms    Formato: Electrónico

 
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
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
Won Choi, Kyungsu Kim and Wongeon Jung    
Agriculture, alongside construction and mining, is one of the three most hazardous industries, and is characterized by numerous risk factors for occupational accidents. Unlike other industries, agriculture faces significant safety concerns related to the... ver más
Revista: Agriculture    Formato: Electrónico

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