731   Artículos

 
en línea
Muhammad Abi Berkah Nadi, Sayed Ahmad Fauzan     Pág. 1 - 9
Recovery efforts following a disaster can be slow and painstaking work, and potentially put responders in harm's way. A system which helps identify defects in critical building elements (e.g., concrete columns) before responders must enter a structure ca... ver más
Revista: Journal of Science and Applicative Technology    Formato: Electrónico

 
en línea
Chuanxiang Song, Seong-Yoon Shin and Kwang-Seong Shin    
This study introduces a novel approach named the Dynamic Feedback-Driven Learning Optimization Framework (DFDLOF), aimed at personalizing educational pathways through machine learning technology. Our findings reveal that this framework significantly enha... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Thanda Shwe and Masayoshi Aritsugi    
Intelligent applications in several areas increasingly rely on big data solutions to improve their efficiency, but the processing and management of big data incur high costs. Although cloud-computing-based big data management and processing offer a promi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Isaac Machorro-Cano, José Oscar Olmedo-Aguirre, Giner Alor-Hernández, Lisbeth Rodríguez-Mazahua, Laura Nely Sánchez-Morales and Nancy Pérez-Castro    
Cloud-based platforms have gained popularity over the years because they can be used for multiple purposes, from synchronizing contact information to storing and managing user fitness data. These platforms are still in constant development and, so far, m... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Shengyang Li, Zhen Wang and Wanfeng Zhang    
Cloud computing has become one of the key technologies used for big data processing and analytics. User management on cloud platforms is a growing challenge as the number of users and the complexity of systems increase. In light of the user-management sy... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wenqi Gao, Ninghua Chen, Jianyu Chen, Bowen Gao, Yaochen Xu, Xuhua Weng and Xinhao Jiang    
Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other r... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Mohamed A. Damos, Jun Zhu, Weilian Li, Elhadi Khalifa, Abubakr Hassan, Rashad Elhabob, Alaa Hm and Esra Ei    
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means a... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
David Naseh, Mahdi Abdollahpour and Daniele Tarchi    
This paper explores the practical implementation and performance analysis of distributed learning (DL) frameworks on various client platforms, responding to the dynamic landscape of 6G technology and the pressing need for a fully connected distributed in... ver más
Revista: Information    Formato: Electrónico

 
en línea
Md Momin Al Aziz, Md Toufique Morshed Tamal and Noman Mohammed    
Fully homomorphic encryption (FHE) cryptographic systems enable limitless computations over encrypted data, providing solutions to many of today?s data security problems. While effective FHE platforms can address modern data security concerns in unsecure... ver más
Revista: Information    Formato: Electrónico

 
en línea
Michal Welcer, Nezar Sahbon and Albert Zajdel    
Modern aviation technology development heavily relies on computer simulations. SIL (Software-In-The-Loop) simulations are essential for evaluating autopilots and control algorithms for multi-rotors, including drones and other UAVs (Unmanned Aerial Vehicl... ver más
Revista: Aerospace    Formato: Electrónico

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