Martin Serrano

Insight Centre for Data Analytics · Internet of Things & Stream processing Research Unit

The increasing importance of audio-based healthcare diagnostics, particularly in chronic respiratory problems, has prompted the development of novel approaches for disease classification using the full spectrum analysis of cough sounds. This paper presents an innovative study exploring the potential of employing supervised and semi-supervised learn...

In this book chapter, recent advances in the development and implementation of open-source software technologies and information management systems to support the progression of the data economy by means of data operations and data offering descriptions are introduced. The management of controlled registries, mapping of information using metadata a...

This chapter focuses on data interoperability best practices related to semantic technologies and data management systems. It introduces a particular view on how relevant data interoperability is achieved and its effects on developing technologies for the financial and insurance sectors. Financial technology (FinTech) and insurance technology (Insu...

In our societies, there is a growing demand for the production and use of more data. Data is reaching the point that is driving all the social and economic activities in every industry sector. Technology is not going to be a barrier anymore; however, where there is large deployment of technology, the production of data creates a growing demand for...

This publication presents research findings and scientific work that advance the development and progression of smart city and community measurement methodology. The term ‘smart,’ as used in the phrase ‘smart cities,’ is defined here as the efficient use of digital technologies to provide prioritized services and benefits to meet community goals. W...

Identifying network attacks is a very crucial task for Internet of things (IoT) security. The increasing amount of IoT devices is creating a massive amount of data and opening new security vulnerabilities that malicious users can exploit to gain access. Recently, the research community in IoT Security has been using a data- driven approach to detec...

This paper presents a review of a sample taken of the state-of-the- art for Edge Intelligence papers. It will assess which papers depend on Semantic Interoperability in a lightweight manner. We know that resources are limited at the Edge of the network, primarily by the devices battery and processing capabilities of gateways and devices. We explore...

The average life expectancy of the world’s population is increasing and the healthcare systems sooner than later will be compromised by its reduced capacity and its highly economic cost; in addition, the age distribution of the population is leading towards the older spectrum. This trend will lead to immeasurable and unexpected economic problems an...

Sensor-based applications are increasingly present in our everyday life. Due to the enormous quantity of sensor data produced, interpreting data and building interoperable sensor-based applications is needed. There are several problems to address the heterogeneity of (1) data format, (2) languages to describe sensor metadata, (3) models for structu...

To design and develop AI-based cybersecurity systems (e.g., intrusion detection system (IDS)), users can justifiably trust, one needs to evaluate the impact of trust using machine learning and deep learning technologies. To guide the design and implementation of trusted AI-based systems in IDS, this paper provides a comparison among machine learnin...

Despite the growing popularity of machine learning models in the cyber-security applications (e.g., an intrusion detection system (IDS)), most of these models are perceived as a black-box. 'e eXplainable Artificial Intelligence (XAI) has become increasingly important to interpret the machine learning models to enhance trust management by allowing h...

The Internet of Things (IoT) and Industrial IoT (IIoT) have developed rapidly in the past few years, as both the Internet and "things" have evolved significantly. "Things" now range from simple Radio Frequency Identification (RFID) devices to smart wireless sensors, intelligent wireless sensors and actuators, robotic things, and autonomous vehicles...

The accelerated human activity and the excessive use of carburant today is generating the degradation of our ecosystems affecting the environment, mainly reflected in the amount of particles and the production of dioxide of carbon (C02) which is unbalanced with the amount that it can be sequestered in a natural way. The use of IoT technology is typ...

A Connected World/Web of Things is an emerging area that not only requires development of infrastructure but also deployment of new data services capable of supporting multiple, scalable (cloud-based) and interoperable (cross-systems and cross-domain) applications. In the race of designing the Connected World/Web as part of the Future Internet arch...

Recently, many approaches have been proposed to manage sensor data using semantic web technologies for effective heterogeneous data integration. However, our empirical observations revealed that these solutions primarily focused on semantic relationships and unfortunately paid less attention to spatio–temporal correlations. Most semantic approaches...

The ever-increasing growth of the Internet of Things (IoT) has attracted a considerable amount of research attention from the Semantic Web community in order to address the challenge of poor interoperability. However, our survey of research work has shown that the goal of providing an intelligent processing and analysis engine for IoT has still not...

The centralization of Internet of Things (IoT) services (data and applications) running in the cloud has been a tendency since the introduction of the concept-design that the IoT enables the orchestration/management of a huge amount of Internet connected objects. However, the adoption of this conceptual design imposes deployment limitations as high...

FIESTA-IoT project provides a blueprint experimental infrastructure, software tools, semantic techniques, certification processes and best practices enabling IoT testbed/platforms to interconnect their facility's resources in an interoperable semantic way. FIESTA-IoT project enables the integration of IoT platform's resources, testbeds infrastructu...

Data models and semantics are a key aspect for the valorization of data in cross-domain applications and to obtain knowledge/insights beyond the original applications (vertical use cases). An important role of Big Data and a key fundament of its success is this capacity to discover and extract new knowledge beyond the original use of data, in order...

The Web of Things (WoT) is rapidly growing in popularity getting the interest of not only technologist and scientific communities but industrial, system integrators and solution providers. The key aspect of the WoT to succeed is the relatively, easy-to-build ecosystems nature inherited from the web and the capacity for building end-to-end solutions...