78   Artículos

 
en línea
Antreas Kantaros, Florian Ion Tiberiu Petrescu, Hamed Abdoli, Olaf Diegel, Simon Chan, Mihaiela Iliescu, Theodore Ganetsos, Iulian Sorin Munteanu and Liviu Marian Ungureanu    
Additive manufacturing has been widely used in various industries, including the healthcare sector. Over the last few decades, AM has been playing an important role in the medical field in different areas, including surgical planning, implants, and educa... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Fernando Ferreira Lima dos Santos and Farzaneh Khorsandi    
All-Terrain Vehicles (ATVs) are popular off-road vehicles in the United States, with a staggering 10.5 million households reported to own at least one ATV. Despite their popularity, ATVs pose a significant risk of severe injuries, leading to substantial ... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Linda Petutschnig, Thomas Clemen, E. Sophia Klaußner, Ulfia Clemen and Stefan Lang    
International policy and humanitarian guidance emphasize the need for precise, subnational malaria risk assessments with cross-regional comparability. Spatially explicit indicator-based assessments can support humanitarian aid organizations in identifyin... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Xinxin Zhou, Yujie Chen, Yingying Li, Bingjie Liu and Zhaoyuan Yu    
As a kind of first aid healthcare service, emergency medical services (EMSs) present high spatiotemporal sensitivity due to significant changes in the time-dependent urban environment. Taking full advantage of big spatiotemporal data to realize multiperi... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Carlos E. Mendoza-Ramírez, Juan C. Tudon-Martinez, Luis C. Félix-Herrán, Jorge de J. Lozoya-Santos and Adriana Vargas-Martínez    
An Augmented Reality (AR) system is a technology that overlays digital information, such as images, sounds, or text, onto a user?s view of the real world, providing an enriched and interactive experience of the surrounding environment. It has evolved int... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jielu Zhang, Lan Mu, Donglan Zhang, Janani Rajbhandari-Thapa, Zhuo Chen, José A. Pagán, Yan Li, Heejung Son and Junxiu Liu    
With over 350,000 cases occurring each year, out-of-hospital cardiac arrest (OHCA) remains a severe public health concern in the United States. The correct and timely use of automated external defibrillators (AEDs) has been widely acknowledged as an effe... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Siwaner Wang, Qian Sun, Pengfei Chen, Hui Qiu and Yang Chen    
Since late 2019, the explosive outbreak of Coronavirus Disease 19 (COVID-19) has emerged as a global threat, necessitating a worldwide overhaul of public health systems. One critical strategy to prevent virus transmission and safeguard public health, inv... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Michaela Cellina, Maurizio Cè, Marco Alì, Giovanni Irmici, Simona Ibba, Elena Caloro, Deborah Fazzini, Giancarlo Oliva and Sergio Papa    
Digital twins are virtual replicas of physical objects or systems. This new technology is increasingly being adopted in industry to improve the monitoring and efficiency of products and organizations. In healthcare, digital human twins (DHTs) represent v... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ayesha Hameed, Andrzej Ordys, Jakub Mozaryn and Anna Sibilska-Mroziewicz    
Collaborative robots cooperate with humans to assist them in undertaking simple-to-complex tasks in several fields, including industry, education, agriculture, healthcare services, security, and space exploration. These robots play a vital role in the re... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ulises Manuel Ramirez-Alcocer, Edgar Tello-Leal, Gerardo Romero and Bárbara A. Macías-Hernández    
In this paper, we propose a deep learning-based approach to predict the next event in hospital organizational process models following the guidance of predictive process mining. This method provides value for the planning and allocating of resources sinc... ver más
Revista: Information    Formato: Electrónico

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