MEDES

In this study, we propose a method to apply the real-time object recognition using 360° spherical camera to web browser-based telecommunications. The main problems associated with the images captured by the spherical camera are as follows: i) the large ...

In social networks, trust is a fundamental notion affecting the nature and the strength of ties between individuals. It is also a piece of useful auxiliary information for improving the performance of recommendation systems. The number of ratings given ...

Taxis are one of the transportation types that tourists usually choose when visiting unfamiliar cities. Using GPS devices installed in taxis is an efficient way to collect a large amount of movement data of individual tourists. The main problem of ...

In the complex Internet of Things(IoT) environment, the security of digital ecosystems connected to the Web is guaranteed by network Intrusion Detection Systems (IDS). So far, the existing unsupervised learning methods extract the features of network ...

This paper describes work in progress about using AI technologies to support diagnostic decision making. In particular, we analyse clinical data of past cases to develop a data-driven prediction model for future cases. To do so, we use a versatile ...

Quality of life (QoL) is one of the major issues for cancer patients. With the advent of medical databases containing large amounts of relevant QoL information it becomes possible to train predictive QoL models by machine learning (ML) techniques. ...

Building formal models for analyzing and forecasting infectious diseases is one of the important challenges for epidemics surveillance. In this paper, we propose a model-based approach that allows learning and analyzing viral infections behavior ...

In recent years, the research on Ontology Learning has become a hot topic among researchers because of the exponential increase of the number of documents and textual data not only on the web but also in digital libraries. This has participated to the ...

Ontology Learning is a process of (semi)automatically creating, maintaining, and transferring various forms of information into an ontology with minimum human intervention to guarantee a better knowledge representation and sharing. In recent years, the ...

The development of the Edge computing paradigm shifts data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructure. Such a paradigm requires data processing solutions that consider data locality in ...

The conflict between the need of protecting and sharing data is hampering the spread of big data applications. Security and privacy assurance is required to protect data owners, while data access and sharing are fundamental to implement smart big data ...

Microservices Architectures (MSAs) are continuously replacing monolithic systems toward achieving more flexible and maintainable service-oriented software systems. However, the shift toward an MSA also requires a technological and managerial shift for ...

This study aims at automating the process of topical keyword organization of set of documents in an input text corpus. It is conducted in the context of a larger project to investigate efficient unsupervised learning techniques to automatically extract ...

A substantial number of audio files and articles regarding music appear online every day. However, research on the complex relationships between different musicians remains inadequate. In this paper, we make use of the context and content of music to ...

The efficient management of water resources is a major issue in the field of sustainable development. Several models of solving this problem can be found in the literature, especially in the agricultural sector which represents the main consumer through ...

There has been massive growth in the Digital Transformation (DX) market. A digital ecosystem is a concept to realize DX with digital solutions. The key issue to expand a digital ecosystem are developers' lack of motivation to register and improve their ...

The communication between different IoT systems presents a series of challenges in the processing and analysis of the heterogeneous information managed by said systems. The W3C Web of Things (WoT) standard offers a common model to define those devices ...

The adoption and deployment of the Internet of Things (IoT) technologies in agroecology raise a challenging research agenda. Agroecology IoT projects feature complex requirements involving: heterogeneous hardware and heterogeneous software systems; data ...

Many efforts have been deployed by the IR community to extend free-text query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most ...

This paper investigates the impression of streetscapes users receive from street view movies. In travel recommendation, travelers do not only want to reach the destination, but also want to enjoy streetscapes throughout the journey. While traditional ...

A spherical camera is a camera that can shoot omnidirectional landscapes in a celestial sphere. Images taken with a spherical camera can be converted using equirectangular projection, and 360° panoramic images can be viewed together in all directions. ...

As described herein, we propose a method to make more accurate predictions based on COVID-19 positive case data from Tokyo, which are provided as open data. Our proposed method uses prediction results of related variables to infer an objective function. ...

The spacecraft is a mass of sensors, and there are a vast number of operational commands. In order to apply anomaly detection to multiple spacecraft across the missions, an event detection method is required using the only telemetry that does not use ...

This research is focused on architectural and modeling issues of design and development of digital reporting system aimed at the railway communication network infrastructure. Our approach to these problems is based on digital ecosystem paradigm and open-...

Many organizations inside FMCG industry tries to improve their business process and make them more effective, by implementing different technologies, one of the is predictive analytics. This technology used in spheres like planning and forecasting ...