350   Artículos

 
en línea
Somayeh Shahrabadi, Telmo Adão, Emanuel Peres, Raul Morais, Luís G. Magalhães and Victor Alves    
The proliferation of classification-capable artificial intelligence (AI) across a wide range of domains (e.g., agriculture, construction, etc.) has been allowed to optimize and complement several tasks, typically operationalized by humans. The computatio... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Zheng Zhao, Jialing Yuan and Luhao Chen    
Air Traffic Flow Management (ATFM) delay can quantitatively reflect the congestion caused by the imbalance between capacity and demand in an airspace network. Furthermore, it is an important parameter for the ex-post analysis of airspace congestion and t... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Chunling Wang, Tianyi Hang, Changke Zhu and Qi Zhang    
The Czech Republic is one of the countries along the Belt and Road Initiative, and classifying land cover in the Czech Republic helps to understand the distribution of its forest resources, laying the foundation for forestry cooperation between China and... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi    
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Dacheng Yu, Mingjun Zhang, Feng Yao and Jitao Li    
Variational Mode Decomposition (VMD) has typically been used in weak fault feature extraction in recent years. The problem analyzed in this study is weak fault feature extraction and the enhancement of AUV thrusters based on Artificial Rabbits Optimizati... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Danilo Pau, Andrea Pisani and Antonio Candelieri    
In the context of TinyML, many research efforts have been devoted to designing forward topologies to support On-Device Learning. Reaching this target would bring numerous advantages, including reductions in latency and computational complexity, stronger ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Alireza Hajiheidari, Mahmoud Reza Delavar and Abbas Rajabifard    
Enriching and updating maps are among the most important tasks of any urban management organization for informed decision making. Urban cadastral map enrichment is a time-consuming and costly process, which needs an expert?s opinion for quality control. ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Jose A. Montenegro and Antonio Muñoz    
In this manuscript, we present EventGeoScout, an innovative framework for collaborative geographic information management, tailored to meet the needs of the dynamically changing landscape of geographic data integration and quality enhancement. EventGeoSc... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Jiantao Qu, Chunyu Qi and He Meng    
Within the Shuo Huang Railway Company (Suning, China ) the long-term evolution for railways (LTE-R) network carries core wireless communication services for trains. The communication performance of LTE-R cells directly affects the operational safety of t... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Lin Zhang, Yanbin Gao and Lianwu Guan    
For seabed mapping, the prevalence of autonomous underwater vehicles (AUVs) employing side-scan sonar (SSS) necessitates robust navigation solutions. However, the positioning errors of traditional strapdown inertial navigation system (SINS) and Doppler v... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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