206   Artículos

 
en línea
Bowen Xing, Xiao Wang and Zhenchong Liu    
The path planning strategy of deep-sea mining vehicles is an important factor affecting the efficiency of deep-sea mining missions. However, the current traditional path planning algorithms suffer from hose entanglement problems and small coverage in the... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Boris Stanoev, Goran Mitrov, Andrea Kulakov, Georgina Mirceva, Petre Lameski and Eftim Zdravevski    
With the exponential growth of data, extracting actionable insights becomes resource-intensive. In many organizations, normalized relational databases store a significant portion of this data, where tables are interconnected through some relations. This ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Maryam Badar and Marco Fisichella    
Fairness-aware mining of data streams is a challenging concern in the contemporary domain of machine learning. Many stream learning algorithms are used to replace humans in critical decision-making processes, e.g., hiring staff, assessing credit risk, et... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Juan C. Gutiérrez-Diez, Ana M. Castañón and Marc Bascompta    
The sustainable development of mining processes requires a deep knowledge of the effectiveness of mining equipment and is quite complex to analyze due to the intrinsic characteristics of the mining industry. In this regard, its measurement and control ca... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yuan-Hang Zhang, Xiao-Jie Wang, Xu-Zhen Zhang, Maoukouf Saad and Rui-Jie Zhao    
The deep sea harbors abundant mineral, oil, and gas resources, making it highly valuable for commercial development, including the extraction of minerals. Due to the relatively large particle size of these minerals, how they interact with fluids is signi... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Piotr Sliz    
Purpose: The advancements in deep learning and AI technologies have led to the development of such language models, in 2022, as OpenAI?s ChatGPT. The primary objective of this paper is to thoroughly examine the capabilities of ChatGPT within the realm of... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Xinyan Zeng, Wancang Lin, Xinyi Chen and Qinglong Zhou    
The Sanshandao Gold Mine is currently in the deep mining stage. The ground pressure on the surrounding rocks is gradually becoming more considerable, and at the same time, threatened by the overlying seawater, the possibility of mine water inrush acciden... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ning Zhang, Anye Cao, Weiwei Zhao, Qi Hao, Guowei Lv and Baixuan Wu    
There is a very thick water-bearing key strata above the coal seam in the Binchang mining area. When the mining scale is large, it easily breaks and leads to rockburst with a surge of water gushing in the panel. Adopting the layout pattern of a small pan... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chenhao Wu, Longgang Xiang, Libiao Chen, Qingcen Zhong and Xiongwei Wu    
With the development of location-based services and data collection equipment, the volume of trajectory data has been growing at a phenomenal rate. Raw trajectory data come in the form of sequences of ?coordinate-time-attribute? triplets, which require c... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yuting Chen, Pengjun Zhao, Yi Lin, Yushi Sun, Rui Chen, Ling Yu and Yu Liu    
Precise identification of spatial unit functional features in the city is a pre-condition for urban planning and policy-making. However, inferring unknown attributes of urban spatial units from data mining of spatial interaction remains a challenge in ge... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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