|
|
|
|
|
Antonello Pasini and Stefano Amendola
Neural network models are often used to analyse non-linear systems; here, in cases of small datasets, we review our complementary approach to deep learning with the purpose of highlighting the importance and roles (linear, non-linear or threshold) of cer...
ver más
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Giuliana Favara, Martina Barchitta, Andrea Maugeri, Roberta Magnano San Lio and Antonella Agodi
Background: Natural language processing, such as ChatGPT, demonstrates growing potential across numerous research scenarios, also raising interest in its applications in public health and epidemiology. Here, we applied a bibliometric analysis for a syste...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gabriela Fabiola Stiufiuc and Rares Ionut Stiufiuc
In recent years, the use of magnetic nanoparticles (MNPs) in biomedical applications has gained more and more attention. Their unusual properties make them ideal candidates for the advancement of diagnosis, therapy, and imaging applications. This review ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Su Young Kim and Yoon Sang Kim
Multiple markers are generally used in augmented reality (AR) applications that require accurate registration, such as medical and industrial fields. In AR using these markers, there are two inevitable problems: (1) geometric shape discrepancies between ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hadeel Alrubayyi, Moudy Sharaf Alshareef, Zunaira Nadeem, Ahmed M. Abdelmoniem and Mona Jaber
The hype of the Internet of Things as an enabler for intelligent applications and related promise for ushering accessibility, efficiency, and quality of service is met with hindering security and data privacy concerns. It follows that such IoT systems, w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Keno Jann Büscher, Jan Philipp Degel and Jan Oellerich
This paper provides a comprehensive overview of approaches to the determination of isocontours and isosurfaces from given data sets. Different algorithms are reported in the literature for this purpose, which originate from various application areas, suc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Charlee Kaewrat, Dollaporn Anopas, Si Thu Aung and Yunyong Punsawad
This study presents an augmented reality application for training chest electrocardiography electrode placement. AR applications featuring augmented object displays and interactions have been developed to facilitate learning and training of electrocardio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md Saiful Islam and Fei Liu
In the realm of artificial intelligence, knowledge graphs have become an effective area of research. Relationships between entities are depicted through a structural framework in knowledge graphs. In this paper, we propose to build a domain-specific medi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Moiz Hassan, Kandasamy Illanko and Xavier N. Fernando
Single Image Super Resolution (SSIR) is an intriguing research topic in computer vision where the goal is to create high-resolution images from low-resolution ones using innovative techniques. SSIR has numerous applications in fields such as medical/sate...
ver más
|
|
|
|
|
|