|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Dong-Min Seo, Hyun-Jung Woo, Won-Hwa Hong, Hyuncheol Seo and Wook-Jung Na
Unmanned aerial vehicles (UAVs) have been employed to perform aerial surveys in many industries owing to their versatility, relatively low cost, and efficiency. Ground control points (GCPs) are used for georeferencing to ensure orthophoto geolocation/pos...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xin Tian and Yuan Meng
Multi-relational graph neural networks (GNNs) have found widespread application in tasks involving enhancing knowledge representation and knowledge graph (KG) reasoning. However, existing multi-relational GNNs still face limitations in modeling the excha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Darian M. Onchis, Flavia Costi, Codruta Istin, Ciprian Cosmin Secasan and Gabriel V. Cozma
(1) Background: Lung cancers are the most common cancers worldwide, and prostate cancers are among the second in terms of the frequency of cancers diagnosed in men. Automatic ranking of the risk groups of such diseases is highly in demand, but the clinic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dongdong Jia, Wenzhong Guo, Lichun Wang, Wengang Zheng and Guohua Gao
In the plant factories using stereoscopic cultivation systems, the cultivation plate transport equipment is an essential component of production. However, there are problems, such as high labor intensity, low levels of automation, and poor versatility of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luana Centorame, Thomas Gasperini, Alessio Ilari, Andrea Del Gatto and Ester Foppa Pedretti
Machine learning is a widespread technology that plays a crucial role in digitalisation and aims to explore rules and patterns in large datasets to autonomously solve non-linear problems, taking advantage of multiple source data. Due to its versatility, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lorenzo Gagliardi, Sofia Matilde Luglio, Andrea Peruzzi, Marco Fontanelli, Christian Frasconi and Michele Raffaelli
In the Mediterranean area, vineyard soils are often characterized by a high stone content. In these contexts, where tools commonly adopted for under-row weed control are frequently damaged, the utilization of a chain mower could be a preferable alternati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ching-Lung Fan
The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of com...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mostafa El Debeiki, Saba Al-Rubaye, Adolfo Perrusquía, Christopher Conrad and Juan Alejandro Flores-Campos
The use of unmanned aerial vehicles (UAVs) is increasing in transportation applications due to their high versatility and maneuverability in complex environments. Search and rescue is one of the most challenging applications of UAVs due to the non-homoge...
ver más
|
|
|
|
|
|
|
|
|
|
|
Salvatore Calcagno, Andrea Calvagna, Emiliano Tramontana and Gabriella Verga
The Electronic Health Record (EHR) is a system for collecting and storing patient medical records as data that can be mechanically accessed, hence facilitating and assisting the medical decision-making process. EHRs exist in several formats, and each for...
ver más
|
|
|
|
|
|