Analyzing Particularities of Sensor Datasets for Supporting Data Understanding and Preparation
Special Issue Applied Data Science and Intelligence
Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data).
KRAKEN - Brokerage and Market Platform for Personal data
'Fighting Cyber-Crime'
The EU Horizon 2020 KRAKEN project is dedicated to building a trusted and secure personal data platform enabling exchange and analytics of personal data.
AI for dating stars: a benchmarking study for gyrochronology
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
In astronomy, age is one of the most difficult stellar properties to measure, and gyrochronology is one of the most promising techniques for the task.
Common pathways and functional profiles reveal underlying patterns in Breast, Kidney and Lung cancers
BMC – Biology Direct
Background: Cancer is an extremely heterogeneous disease, both intra and inter cancer types.
Developing Cyber-risk Centric Courses and Training Material for Cyber Ranges: A Systematic Approach
Title: Developing Cyber-risk Centric Courses and Training Material for Cyber Ranges: A Systematic Approach
Topics: Security Awareness and Education; Threat Awareness
Functional Signatures in Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis of Sex-Based Differences in Transcriptomic Studies
Special Issue Diagnostic and Predictive Biomarkers in Lung Cancer
While studies have established the existence of differences in the epidemiological and clinical patterns of lung adenocarcinoma between male and female patients, we know relatively little regarding the molecular mechanisms underlying such sex-based differences.
Application of Artificial Intelligence Techniques for the Creation of Novel Services Based on Connected Vehicles
Book: Intelligent System Solutions for Auto Mobility and Beyond
New technologies have been progressively integrated into vehicles during the last thirty years.
Olive Trees Stress Detection Using Sentinel
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
In the field of plant disease protection, many approaches exist, but all acknowledge the necessity of fast and accurate identification of the source in order to make the most efficient applications.
Business Process Management for optimizing clinical processes: A systematic literature review
Health Informatics Journal
Business Process Management is a new strategy for process management that is having a major impact today. Mainly, its use is focused on the industrial, services, and business sector.
Smart solutions for tomorrow’s energy-efficient buildings
EU-funded researchers have developed a cloud-based platform to reduce energy use in buildings and battery energy storage systems to benefit end users and utility providers.
A Semantic-Enabled Platform for Realizing an Interoperable Web of Things
MDPI Sensors
Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available.
ARIES project
Chapter 11 in book “Challenges in Cybersecurity and Privacy – the European Research Landscape”, ISBN: 978-87-7022-088-0
ARIES: Evaluation of a reliable and privacy-preserving European identity management framework
In book "Future Generation Computer Systems", Volume 102, 2020, Pages 409-425, ISSN 0167-739X.
Engineering a QoS Provider Mechanism for Edge Computing with Deep Reinforcement Learning
With the development of new system solutions that integrate traditional cloud computing with the edge/fog computing paradigm, dynamic optimization of service execution has become a challenge due to the edge computing resources being more distributed and dynamic.
Fog-to-Cloud Computing for Farming: Low-Cost Technologies, Data Exchange, and Animal Welfare
Coordinated fog (edge) and cloud computing systems are expected to expedite the evolution of smart farming toward openness and data sharing while making agriculture economically sustainable for smaller farms.