Currently, many applications have emerged from the implementation of software development and hardware use, known as the Internet of things. One of the most important application areas of this type of technology is in health care. Various applications arise daily in order to improve the quality of life and to promote an improvement in the treatments of patients at home that suffer from different pathologies. That is why there has emerged a line of work of great interest, focused on the study and analysis of daily life activities, on the use of different data analysis techniques to identify and to help manage this type of patient. This article shows the result of the systematic review of the literature on the use of the Clustering method, which is one of the most used techniques in the analysis of unsupervised data applied to activities of daily living, as well as the description of variables of high importance as a year of publication, type of article, most used algorithms, types of dataset used, and metrics implemented. These data will allow the reader to locate the recent results of the application of this technique to a particular area of knowledge.

The Assisted Living Environments Research Area–AAL (Ambient Assisted Living), focuses on generating innovative technology, products, and services to assist, medical care and rehabilitation to older adults, to increase the time in which these people can live. independently, whether they suffer from neurodegenerative diseases or some disability. This important area is responsible for the development of activity recognition systems—ARS (Activity Recognition Systems), which is a valuable tool when it comes to identifying the type of activity carried out by older adults, to provide them with assistance. that allows you to carry out your daily activities with complete normality. This article aims to show the review of the literature and the evolution of the different techniques for processing this type of data from supervised, unsupervised, ensembled learning, deep learning, reinforcement learning, transfer learning, and metaheuristics approach applied to this sector of science. health, showing the metrics of recent experiments for researchers in this area of knowledge. As a result of this article, it can be identified that models based on reinforcement or transfer learning constitute a good line of work for the processing and analysis of human recognition activities.

Tourism is a sector of high relevance worldwide, due to the multiple impacts it generates in local, regional, national, continental, and global economies, and it is a key generator of employment and provides sustenance to an innumerable number of people around the world. There have been many challenges at a global level to improve the user experience in a particular tourist place, where technology has played a highly relevant role in strengthening the conditions for tourists to achieve immersion in the culture, gastronomy, and recreation. The objective of this literature review is precisely to know and understand the key contributions that are currently being developed around the implementation of augmented reality as tourist technological support for user experiences. The literature on this topic is quite dispersed in specialized databases; therefore, it constitutes an opportunity to carry out a more detailed exploration of the topic. To address the different developments that have been carried out on tourism and augmented reality, an analysis was carried out based on the fusion of scientometric analysis and the metaphor of the Tree of Science, in which two relevant visions about the data were generated. The first focused on the different scientometric statistics regarding countries, authors, universities, or research or technological development centers that currently generate new applications based on augmented reality for tourism. The second focused on an evolutionary analysis based on the Tree of Science, analyzing the origins of the basic contributions of research and how it has evolved over time. This review indicates that the topic is currently valid and that it has been strengthened even more with the post-pandemic process, where many technological developments have been strengthened that allow people to enjoy tourist and cultural sites even without leaving home.

The use of augmented reality applied to museums to preserve and communicate cultural heritage sustainably is a topic of increasing relevance today. Museums play an essential role in preserving and disseminating culture and history, and augmented reality has emerged as a powerful technological tool to enrich the visitor experience and ensure the sustainable preservation of cultural heritage. The fundamental objective of this literature review is to explore and understand the key contributions that are being made in the field of augmented reality applied to museums, with a focus on sustainability. The literature related to this topic is dispersed in various sources of information, which motivates the need to carry out a detailed and systematic analysis incorporating sustainability aspects. To carry out this analysis, the metaphor of the “tree of science” is used. This metaphor provides a structured approach that is applied in two complementary ways. Firstly, it focuses on collecting and analyzing scientometric statistics that cover data on countries, authors, academic institutions, and research centers involved in developing augmented reality applications for museums with sustainable methodologies. This quantitative perspective offers a global view of the contributions and their geographical scope including their sustainability impact. Secondly, an evolutionary analysis based on the “tree of science” is carried out. This historical approach examines the origin and evolution of contributions in the field of augmented reality applied to museums, from its first manifestations to the most recent innovations, with an emphasis on sustainable practices. This historical approach is essential to understanding the trajectory and development of augmented reality applications in the museum context and their role in promoting sustainable cultural heritage preservation. This review aims to provide a complete and contextualized view of the use of augmented reality in museums for the sustainable preservation and communication of cultural heritage. Through a multidimensional approach encompassing scientometric statistics and historical analysis, we seek to shed light on this technology’s most significant contributions and evolution in the museum sector, with a particular focus on sustainability.

Technology has emerged as an essential tool that has revolutionized the conditions for travelers to fully immerse themselves in the culture, gastronomy, and recreation of the places they explore. This literature review aims to understand the crucial contributions currently shaping the implementation of augmented reality as an enriching technological support for user experiences in tourism and the conservation of natural heritage. While the literature on this topic is scattered across specialized databases, this review provides a unique opportunity for a deeper and more cohesive analysis. Employing the metaphor of the tree of science, we have developed two valuable approaches to the data collected during our bibliographic exploration. On the one hand, we have examined scientometric statistics related to the countries, authors, universities, and research and technological development centers that are at the forefront of creating innovative augmented reality-based applications to promote tourism and conservation. On the other hand, we have conducted an evolutionary analysis based on the tree of science to trace the origins of the most significant contributions and understand how they have evolved over time in this dynamic and ever-developing field.

This article contains methods, results, and analysis agreed for the development of an application based on the internet of things and making use of machine learning techniques that serves as a support for the identification of the saline wedge in the Magdalena River estuary, Colombia. As a result of this investigation, the process of identifying the most suitable telecommunications architecture to be installed in the estuary is shown, as well as the characteristics of the software developed called SISME (Estuary Monitoring System), and the results obtained after the implementation of prediction techniques based on time series. This implementation supports the maritime security of the port of Barranquilla since it can support decision-making related to the estuary. This research is the result of the project “Implementation of a Wireless System of Temperature, Conductivity and Pressure Sensors to support the identification of the saline wedge and its impact on the maritime safety of the Magdalena River estuary”.