
Juan Manuel Corchado RodríguezUniversidad de Salamanca - AIR Institure · BISITE research group
Juan Manuel Corchado Rodríguez
PhD Computer Science - University of the West of Scotland
About
1,104
Publications
322,964
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Introduction
You can find information about my publications, projects, courses, etc. at http://bisite.usal.es
Additional affiliations
June 1998 - June 2000
September 1998 - October 2000
October 2000 - present
Education
June 1998 - September 2000
June 1995 - September 1998
September 1992 - June 1995
Publications
Publications (1,104)
Network Traffic Classification (NTC) serves as a crucial element in network management, and the rapid progress in machine learning has inspired the utilization of learning methods to discern network traffic. The inherent characteristics of network traffics result in uneven class distributions when datasets are shaped, creating a phenomenon known as...
The burgeoning capabilities of artificial intelligence (AI) have prompted numerous local governments worldwide to consider its integration into their operations. Nevertheless, instances of notable AI failures have heightened ethical concerns, emphasising the imperative for local governments to approach the adoption of AI technologies in a responsib...
Public organisations, such as local governments, underpin the very social fabric of
cities. The Metaverse presents itself as a tool with potential to revolutionise local
governments’ interaction with citizens, promising multiple benefits but also posing risks. Despite the significance of this area for cities, it remains underexplored in state-of-th...
Public institutions' chatbots enhance communication when they provide services. Despite their growing popularity and importance, chatbot adoption by government entities is a relatively understudied area of research. This deficiency is even more acute when examining the role of chatbots within local governments, which provide many of the services ci...
In the dynamic landscape of contemporary living spaces, cities, and societies, the call for sustainable urban and regional development resonates with increasing urgency [...]
Doll therapy has been shown to have multiple benefits in people with dementia, including reducing psychological and behavioral symptoms, increasing motivation and initiative, improving communication skills and well-being, maintaining cognitive and psychomotor abilities, and promoting user autonomy and empowerment. Overall, this therapy can signific...
The Internet of Things (IoT) has revolutionized our lives by generating large amounts of data, however, the data needs to be collected, processed, and analyzed in real-time. Network Traffic Classification (NTC) in IoT is a crucial step for optimizing network performance, enhancing security, and improving user experience. Different methods are intro...
Vagus nerve stimulation (VNS) is an adjuvant neuromodulation therapy for the treatment of refractory epilepsy. However, the mechanisms behind its effectiveness are not fully understood. Our aim was to develop a VNS protocol for the Genetic Audiogenic Seizure Hamster from Salamanca (GASH/Sal) in order to evaluate the mechanisms of action of the ther...
Generative language models have witnessed substantial traction, notably with the introduction of refined models aimed at more coherent user-AI interactions—principally conversational models. The epitome of this public attention has arguably been the refinement of the GPT-3 model into ChatGPT and its subsequent integration with auxiliary capabilitie...
The rise in the service economy has been fueled by breakthroughs in technology, globalization, and evolving consumer patterns. However, this sector faces various challenges, such as issues related to service quality, innovation, efficiency, and sustainability, as well as macro-level challenges such as globalization, geopolitical risks, failures of...
The Internet of Things (IoT) devices utilized in manufacturing
industries produce vast volumes of valuable data that can revolutionize productivity and sustainability. While existing centralized data marketplaces facilitate
data trading, they are often marred by trust issues, a single point of failure,
and significant security and privacy vulnerabi...
Physical aggressions are a problem that affects our society throughout the world. This study is a review of the work done so far on the physical detection of aggressions in video using XAI techniques (XAI). In the Related Work section, other reviews have been presented that compile physical aggression detection, XAI techniques, and the combination...
This editorial presents a summary of the Special Issue on Artificial Intelligence Solutions and Applications for Distributed Systems in Smart Spaces, presented in the “Computer Science & Engineering” section of Electronics (ISSN 2079-9292) [...]
This paper presents a case study of using an AI-based platform to monitor and manage urban infrastructure elements, such as waste containers and traffic lights, in a smart city. The platform leverages Internet of Things (IoT) technologies and MQTT protocol for data ingestion, preprocessing, analysis, and visualization. The case study demonstrates t...
Digital technologies are used in various local government activities. Adopting suitable digital technology strategies could enhance service efficiency, effectiveness, and accountability. The challenges of technology adoption among local governments, however, are also evident. One of the major challenges is capacity, including the lack of knowledge...
In this paper, we propose an innovative, lightweight, and energy-efficient consensus mechanism, Proof-of-Resource (PoR), custom-designed for Internet of Things (IoT) devices in blockchain networks. As IoT's integration with blockchain faces hurdles such as scalability, resource efficiency, and security, conventional blockchain consensus mechanisms...
Background
The global percentage of older people has increased significantly over the last decades. Information and communication technologies have become essential to develop and motivate them to pursue healthier ways of living. This paper examines a personalized coaching health care service designed to maintain living conditions and active aging...
In recent years, artificial intelligence (AI) has been increasingly put into use to address cities’ economic, social, environmental, and governance challenges. Thanks to its advanced capabilities, AI is set to become one of local governments’ principal means of achieving smart and sustainable development. AI utilisation for urban planning, nonethel...
In this paper, we present an architecture for time-constrained ontology evolution comprised of two tools: the J2OIM (JSON to Ontology Instance Mapper), which uses JavaScript Object Notation (JSON) objects to populate an ontology, and TICO (Time Constrained instance-guided Ontology evolution), which analyses streams or batches of instances as they a...
The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks. Consequently, all of today’s devices can connect to the internet and can provide valuable information for decision...
The smartness that underpins smart cities and societies is defined by our ability to engage with our environments, analyze them, and make decisions, all in a timely manner [...]
Active consumers, as new players that can contribute for the market transactions, will provide flexibility through demand response events to deal with the volatile behavior from the distributed generation resources such as solar and wind. However, their lack of knowledge and uncertain behavior will add a new level of complexity to the community man...
Deep neural networks (DNNs) have successfully delivered cutting-edge performance in several fields. With the broader deployment of DNN models on critical applications, the security of DNNs has become an active and yet nascent area. Attacks against DNNs can have catastrophic results, according to recent studies. Poisoning attacks, including backdoor...
The third most common neurological disorder, only behind stroke and migraines, is Epilepsy. The main criteria for its diagnosis are the occurrence of unprovoked seizures and the possibility of new seizures appearing. Usually, the professional in charge of detecting these seizures is a neurologist who interprets the patients’ electroencephalography....
Diabetes is a chronic disease characterized by high blood glucose levels. This condition has a strong impact on the heart, eyes, and even kidneys, leading to several long-term health problems. It is estimated that about 422 million people live with this condition and over 1.5 million deaths per year are related to diabetes. Although there is no cur...
Smart wearable technologies such as fitness trackers are creating many new opportunities to improve the quality of life for everyone. It is usually impossible for visually impaired people to orientate themselves in large spaces and navigate an unfamiliar area without external assistance. The design space for assistive technologies for the visually...
Human interaction has changed considerably with the emergence of the Internet. Today, a large percentage of daily communication takes place on instant messaging applications and social networks. In fact, there has been a considerable increase in the use of social networks because new social networks are being created for specific purposes, such as...
Artificial Intelligence (AI) and its applications have undergone remarkable experimental development in the last decade and are now the basis for a large number of decision support systems. [...]
Lifestyle, poor diet, stress, among other factors, strongly contribute to aggravate people’s health problems, such as diabetes and high blood pressure. Some of these problems could be avoided if some of the essential recommendations for the practice of a healthy lifestyle were followed. The paper proposes a solution designed for diabetic people to...
The pandemic experienced in the last two years in the world has led people to be much more careful in their social relations, keeping their social distance and using hygienic prevention measures. However, when it is necessary to enter crowded closed environments, people feel insecure and are more afraid of contagion. This situation leads to the nee...
Communication systems and networks are evolving as an integral part of not only of our everyday life but also as a part of the industry, fundamental infrastructures, companies, etc. Current directions and concepts, such as the Internet of Things (IoT), promise enhanced quality of life, greater business opportunities, cost-effective manufacturing, a...
The management of software incidents is a process that involves a significant cost in the context of software development. The introduction of artificial intelligence techniques in the issue management process can help to reduce these costs, covering tasks such as the detection of duplicate issues, related issues, prioritization or assignment. This...
With the advancements in Internet of Things (IoT) and communication technologies (5G beyond/6G), Connected and Autonomous Vehicles (CAV) is eventually being realized and will make a major contribution to the development of smart mobility systems in the pursuit of green and sustainable economies. Cooperative driving features allowed by CAVs will dra...
This article presents a systematic review of studies on cognitive training programs based on artificial cognitive systems and digital technologies and their effect on executive functions. The aim has been to identify which populations have been studied, the characteristics of the implemented programs, the types of implemented cognitive systems and...
Over a billion people around the world are disabled, among them, 253 million are visually impaired or blind, and this number is greatly increasing due to ageing, chronic diseases, poor environment, and health. Despite many proposals, the current devices and systems lack maturity and do not completely fulfill user requirements and satisfaction. Incr...
Deep neural networks (DNN) have successfully delivered a cutting-edge performance in several fields. With the broader deployment of DNN models on critical applications, the security of DNNs becomes an active and yet nascent area. Attacks against DNNs can have catastrophic results, according to recent studies. Poisoning attacks, including backdoor a...
The aim of this Special Issue is to share the state-of-the-art research and developments on the emerging Industry 5.0 concepts, technologies, use cases and future applications. The outstanding benefits of Industry 5.0 in terms of cost and efficiency facilitate a reality sooner than expected. However, the benefits of Industry 5.0 must not come at a...
Developing software based on services is one of the most emerging programming paradigms in software development. Service-based software development relies on the composition of services (i.e., pieces of code already built and deployed in the cloud) through orchestrated API calls. Black-box reuse can play a prominent role when using this programming...
This article proposes an adaptable hybrid model for recommending effective investments in different scenarios. Currently, a wide variety of methodologies are used for company valuation, especially those that take into account financial statements. However, for private held companies, there is no method that would be capable of predicting, with full...
Nucleic acid amplification diagnostics offer outstanding features of sensitivity and speci-ficity. However, they still lack speed and robustness, require extensive infrastructure, and are neither affordable nor user-friendly. Thus, they have not been extensively applied in point-of-care di-agnostics, particularly in low-resource settings. In this w...
The areas of data science and data engineering have experienced strong advances in recent years. This has had a particular impact in areas such as healthcare, where, as a result of the pandemic caused by the COVID-19 virus, technological development has accelerated. This has led to a need to produce solutions that enable the collection, integration...
The prosumers flexibility procurement has increased due to the current penetration of distributed and variable renewable energy sources. The prosumers flexibility is often able to quickly adjust the power consumption, making it well suited as a primary and secondary reserve for ancillary services. In the era of smart grids, the role of the aggregat...
In this research, a vagus nerve stimulator has been developed and miniaturized for use in epilepsy research. The board contains all the components necessary for its operation during the standard duration of the experiments, being possible to control it once implanted and even being able to reuse it. The VNS system has been designed for rodents sinc...
The predominant means of communication is speech; however, there are persons whose speaking or hearing abilities are impaired. Communication presents a significant barrier for persons with such disabilities. The use of deep learning methods can help to reduce communication barriers. This paper proposes a deep learning-based model that detects and r...
The present review has been carried out, resorting to the PRISMA methodology, analyzing 218 published articles. A comprehensive analysis has been conducted regarding the consumer's role in the energy market. Moreover, the methods used to address demand response uncertainty and the strategies used to enhance performance and motivate participation ha...
Blockchain technology is used as a distributed ledger to store and secure data and perform transactions between entities in smart grids. This paper proposes a platform based on blockchain technology and the multi-agent system paradigm to allow for the creation of an automated peer-to-peer electricity market in micro-grids. The use of a permissioned...
Social media platforms have been an undeniable part of our lifestyle for the past decade. Analyzing the information that is being shared is a crucial step to understanding human behavior. Social media analysis aims to guarantee a better experience for the user and to increase user satisfaction. To draw any further conclusions, first, it is necessar...
With the modernization of industry and introduction of IoT, maintenance practices have been moving from reactive to proactive and predictive approaches. The identification of faults often relies on the analysis of real-time data provided by streams and unstructured sources. Ontologies have been applied to the maintenance field in order to add a sem...
Peer-to-Peer (P2P) energy trading is a paradigm in which energy is traded directly between consumers, and there is no need for intermediaries in the process. This paradigm shift makes it possible to commercialize renewable energy sources that would not be consumed otherwise, helping to improve the local balance between energy generation and consump...
Smart wearable technologies such as fitness trackers are creating many new opportunities to improve the quality of life for everyone. It is usually impossible for visually impaired people to orientate themselves in large spaces and navigate an unfamiliar area without external assistance. The design space for assistive technologies for the visually...
Spain is the EU country with the largest area of cultivated vineyards. However, it experiences a phenomenon of disaggregation and smallholdings, making it complicated for winegrowers to invest in technification. This paper describes an experiment that will be conducted in the Span- ish wine company Pago de Carraovejas. The experiment aims at optimi...
The digital transformation driven by the fourth industrial revolution is promoting the transition of traditional manufacturing systems towards flexible, reconfigurable and intelligent factories based on Cyber- Physical Systems (CPS), bringing new opportunities and innovative solutions for modern manufacturing systems. However, this condition impose...
In recent years, technological development has made it possible to implement sustainability-oriented solutions in the agricultural sector, leading to significant improvements. The practical application of information and communication technologies and of blockchain technology in agriculture, gives a deeper digital meaning to agricultural challenges...
Recent technological advances have led to the development of numerous platforms for precision agriculture, which help farmers access detailed information and make the right decisions regarding the management of their farm. Adapting the application of chemicals to crop demands or estimating optimal irrigation duration, are just some possibilities of...
Recent theoretical studies demonstrate the advantages of using decentralized architectures over traditional centralized architectures for real-time Power Distribution Systems (PDSs) operation. These advantages include the reduction of the amount of data to be transmitted and processed when performing state estimation in PDSs. The main contribution...
When put into practice in the real world, predictive maintenance presents a set of challenges for fault detection and prognosis that are often overlooked in studies validated with data from controlled experiments, or numeric simulations. For this reason, this study aims to review the recent advancements in mechanical fault diagnosis and fault progn...
Random Projection is one of the most popular and successful dimensionality reduction algorithms for large volumes of data. However, given its stochastic nature, different initializations of the projection matrix can lead to very different levels of performance. This paper presents a guided random search algorithm to mitigate this problem. The propo...
Several factors are motivating the development of preventive, personalized, connected, virtual, and ubiquitous healthcare services. These factors include declining public health, increase in chronic diseases, an ageing population, rising healthcare costs, the need to bring intelligence near the user for privacy, security, performance, and costs rea...
In recent years it has been demonstrated that the use of the traditional property registry models involves the risk of corruption along with long waiting times. This paper points out the main problems associated with conventional models and makes a survey of the new ones that are based on blockchain technology. This type of model is already being d...
Social media platforms have been entirely an undeniable part of the lifestyle for the past decade. Analyzing the information being shared is a crucial step to understanding human behavior. Social media analysis aims to guarantee a better experience for the user and risen user satisfaction. For deriving any further conclusion, first, it is necessary...