|
|
|
|
|
Josue-Rafael Montes-Martínez, Hugo Jiménez-Hernández, Ana-Marcela Herrera-Navarro, Luis-Antonio Díaz-Jiménez, Jorge-Luis Perez-Ramos and Julio-César Solano-Vargas
Artificial vision system applications have generated significant interest as they allow information to be obtained through one or several of the cameras that can be found in daily life in many places, such as parks, avenues, squares, houses, etc. When th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eduardo Cibrián, Jose María Álvarez-Rodríguez, Roy Mendieta and Juan Llorens
The use of different techniques and tools is a common practice to cover all stages in the development life-cycle of systems generating a significant number of work products. These artefacts are frequently encoded using diverse formats, and often require ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gloria Bordogna, Paola Carrara, Luca Frigerio and Simone Lella
The current practice of users searching for different types of geo-resources in a geographic area and wishing to identify the most convenient routes for visiting the most relevant ones, requires the iterative formulation of several queries: first to iden...
ver más
|
|
|
|
|
|
|
|
|
|
|
Minying Ye and Kanji Tanaka
Self-localization is a crucial requirement for visual robot place recognition. Particularly, the 3D point cloud obtained from 3D laser rangefinders (LRF) is applied to it. The critical part is the efficiency and accuracy of place recognition of visual ro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yana A, Zhenghao Liu, Suyalatu Dong and Fanyu Bu
Neural models are widely applied to headline generation. Template-based methods are a promising direction to overcome the shortcomings of the neural headline generation (NHG) model in generating duplicate or extra words. Previous works often retrieve rel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki and Omar Elshaweesh
This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weizhong Zeng, Ke Xu, Sihang Cheng, Lei Zhao and Kun Yang
Secchi depth (SD) is a valuable and feasible water quality indicator of lake eutrophication. The establishment of an automated system with efficient image processing and an algorithm suitable for the inversion of transparency in lake-rich regions could p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chih-Han Kao, Wei-Tong Chen and Chung-Kuang Ho
Construction projects are inherently complex and entail extensive information processing. Thus, they require effective information management, which, in turn, requires the preservation of critical construction data (CD). Although BIM and blockchain metho...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuang Li
Historical geographic data play an important supporting role in the study of long-term geographic studies, such as climate change, urban expansion and land-use and land-cover change. These data vary in source, format and accuracy and are widely found in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huapeng Tang, Danyang Qin, Jiaqiang Yang, Haoze Bie, Mengying Yan, Gengxin Zhang and Lin Ma
Frame buildings as important nodes of urban space. The include high-speed railway stations, airports, residences, and office buildings, which carry various activities and functions. Due to illumination irrationality and mutual occlusion between complex o...
ver más
|
|
|
|
|
|