A5087667090- Advanced Database Systems and Queries
- Service-Oriented Architecture and Web Services
- Semantic Web and Ontologies
- Business Process Modeling and Analysis
- Data Quality and Management
- Data Mining Algorithms and Applications
- Big Data and Business Intelligence
- Data Management and Algorithms
- Model-Driven Software Engineering Techniques
- Access Control and Trust
- Engineering and Information Technology
- Advanced Software Engineering Methodologies
- Cloud Computing and Resource Management
- Software System Performance and Reliability
- E-Learning and Knowledge Management
- Distributed systems and fault tolerance
- Software Engineering Research
- Data Visualization and Analytics
- Lung Cancer Diagnosis and Treatment
- Attention Deficit Hyperactivity Disorder
- Peer-to-Peer Network Technologies
- Lung Cancer Treatments and Mutations
- EEG and Brain-Computer Interfaces
- Web Applications and Data Management
- Data Stream Mining Techniques
University of Alicante
2015-2024
Software (Spain)
2015-2024
Hospital de Sant Pau
2019-2024
Instituto de investigación sanitaria y biomédica de Alicante
2024
Artificial Intelligence Research Institute
2024
Sociedad Española de Neumología y Cirugía Torácica
2019-2023
Universitat Politècnica de Catalunya
2002-2022
Universitat Autònoma de Barcelona
2022
Uppsala University
2022
Medical University of South Carolina
2022
The longevity and usefulness of a microprocessor performance model has historically depended on the writer's skills discipline. However, at Compaq models became extremely complex unmanageable because designers lacked structured way to develop them. To cope with these complexities, researchers began developing Asim in late 1998 allow writers faithfully represent detailed timing modern machines effectively manage large software projects needed such machines. addresses needs by providing...
Multidimensional modeling requires specialized design techniques. Though a lot has been written about how data warehouse should be designed, there is no consensus on method yet. This paper follows from wide discussion that took place in Dagstuhl, during the Perspectives Workshop "Data Warehousing at Crossroads", and aimed outlining some open issues of warehouses. More precisely, regarding conceptual models, logical methods for design, interoperability, new architectures applications are considered.
Self-service business intelligence is about enabling non-expert users to make well-informed decisions by enriching the decision process with situational data, i.e., data that have a narrow focus on specific problem and, typically, short lifespan for small group of users. Often, these are not owned and controlled maker; their search, extraction, integration, storage reuse or sharing should be accomplished makers without any intervention designers programmers. The goal this paper present...
The Semantic Web encourages institutions, including libraries, to collect, link and share their data across the in order ease its processing by machines get better queries results. Linked Data technologies enable us connect related on using principles outlined Tim Berners-Lee 2006. Digital libraries have great potential exchange disseminate linked external resources Data. In this paper, a study about current uses of digital most important implementations around world, is presented. focuses...
With climate change driving an increasingly stronger influence over governments and municipalities, sustainable development, renewable energy are gaining traction across the globe. This is reflected within EU 2030 agenda, that envisions a future where there universal access to affordable, reliable energy. One of challenges achieve this vision lies on low reliability certain sources. While both particulars public entities try reach self-sufficiency through generation, it unclear how much...
Attention-Deficit Hyperactivity Disorder (ADHD) is one of the most widespread neurodevelopmental disorders diagnosed in childhood. ADHD by following guidelines Diagnostic and Statistical Manual Mental Disorders, Fifth Edition (DSM-5). According to DSM-5, has not yet identified a specific cause, thus researchers continue investigate this field. Therefore, primary objective work present study find subset channels or brain regions that best classify vs Typically Developing children means...
ETL processes are the backbone component of a data warehouse, since they supply warehouse with necessary integrated and reconciled from heterogeneous distributed sources. However, process development, particularly its design phase, is still perceived as time-consuming task. This mainly due to fact that typically designed by considering specific technology very beginning development process. Thus, it difficult share reuse methodologies best practices among projects implemented different...
Fostering sustainability is paramount for Smart Cities development. Lately, are benefiting from the rising of Big Data coming IoT devices, leading to improvements on monitoring and prevention. However, prevention processes require visualization techniques as a key component. Indeed, in order prevent possible hazards (such fires, leaks, etc.) optimize their resources, adequate visualizations that provide insights decision makers. Nevertheless, has always been challenging issue, especially...
Abstract Around a third of the total population Europe suffers from mental disorders. The use electroencephalography (EEG) together with Machine Learning (ML) algorithms to diagnose disorders has recently been shown be prominent research area, as exposed by several reviews focused on field. Nevertheless, previous application ML algorithms, EEG data should correctly preprocessed and prepared via Feature Engineering (FE). In fact, choice FE techniques can make difference between an unusable...
Epilepsy impacts around 6.38 per 1,000 people globally, presenting diagnostic challenges due to the complexity of seizures. Accurate classification seizure types via Electroencephalogram (EEG) is critical for effective treatment and enhancing patient quality life. However, intricate characteristics EEG data necessitate expert interpretation, a process that both time-intensive susceptible human error. Recent advancements in Deep Learning (DL) have shown promise analysis, offering new avenues...
Different modeling approaches have been proposed to overcome every design pitfall of the development different parts a data warehouse (DW) system. However, they are all partial solutions which deal with isolated aspects DW and do not provide designers an integrated standard method for designing whole (ETL processes, sources, repository so on). On other hand, Model Driven Architecture (MDA) is framework software that addresses complete life cycle designing, deploying, integrating, managing...