A5015178106- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Quantum-Dot Cellular Automata
- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Quantum and electron transport phenomena
- Engineering Applied Research
- Real-time simulation and control systems
- Fault Detection and Control Systems
- Blockchain Technology Applications and Security
- Service and Product Innovation
- Data Quality and Management
- Machine Learning in Healthcare
- Context-Aware Activity Recognition Systems
- Artificial Intelligence in Healthcare and Education
- Digital Transformation in Industry
- Anomaly Detection Techniques and Applications
- Food Supply Chain Traceability
- Product Development and Customization
- Time Series Analysis and Forecasting
- Explainable Artificial Intelligence (XAI)
- Energy Harvesting in Wireless Networks
- Hydrological Forecasting Using AI
- Neural Networks and Applications
- Reliability and Maintenance Optimization
Ubitech (Greece)
2013-2024
Aristotle University of Thessaloniki
2019-2024
Cyprus University of Technology
2023
SingularLogic (Greece)
2021
University of Cyprus
2016
University of Patras
2005-2010
Research Academic Computer Technology Institute
2005-2009
As Artificial Intelligence (AI) becomes more integrated into public governance, concerns about its transparency and accountability have become increasingly important. The use of AI in decision-making processes raises questions bias, fairness, the protection individual fundamental rights. To ensure that is used a way upholds democratic values, it essential to develop systems are trustworthy, transparent, accountable. Trusted allows citizens greater trust organizations their processes, while...
Electronic Health Records (EHRs) contain an increasing wealth of medical information, which has the potential to significantly advance research and health policies formulation, providing society with additional benefits within a global perspective. However, European healthcare information space is fragmented due lack legal technical standards, cost effective platforms, sustainable business models. Providing interoperability infrastructure for EHRs on agenda many regional, international...
Abstract The quantum phase estimation algorithm has been utilized by a variety of algorithms, most notably Shor’s algorithm, to obtain information regarding the period function that is appropriately encoded into unitary operator. In many cases, it desired estimate whether specific state exhibits certain pattern quickly. this paper, we exhibit methodology based on QPE identify patterns. particular, starting from properly state, demonstrate how construct operators whose eigenvectors correspond...
This paper proposes a Bayesian association rule mining algorithm (BAR) which combines the Apriori with networks. Two interesting-ness measures of rules: confidence (BC) and lift (BL) measure conditional dependence independence relationships between items are defined based on joint probabilities represented by networks rules. BAR outputs best rules according to BC BL. is evaluated for its performance using two anonymized clinical phenotype datasets from UCI Repository: Thyroid disease...
Modern companies face immense market pressure to meet customers' demands while ensuring the sustainability of business.Consumers are now requesting highly customized products and services, i.e. demanding mass customization from manufacturing companies.The complete value chain needs develop strategies enabling interaction with customers consumers, supporting features even co-design.This paper presents DIVERSITY approach, which consists on a methodology engineering environment in using social...
In modern urban lifestyles the consumption of prepared food in restaurants and fast foods is increasing constantly becoming a habit among citizens. One side effect this way life concerns increase Body Mass Index because citizens tend to choose more with high amounts energy, fats saturated less healthy such as vegetables fruits. paper we describe an intelligent application called DISYS that aims offer personalized information consumers when visiting restaurant order support them select dish...
The emergence of the Industrial Internet Things paves way for enhancing real-time monitoring capabilities contemporary manufacturing enterprises through extensive utilization physical and virtual sensors. This paradigm enables detection early warning signals concerning systems' degradation facilitates prompt decision making actions performed ahead time. Currently, even large companies have not yet developed a complete Predictive Maintenance strategy appropriate sensor-driven, systems in...
Companies are looking for new approaches and tools to help them meet their customer's demands, particularly the desire of customized products at lower costs. The paradigm product-service systems brings companies opportunity enlarging offer, services in an integrated way. This paper presents early prototype a software platform that supports designing PSSs using feedback information collected over value chain. described has been tested three industrial is currently being further developed.
A set of well-integrated clinical terminologies is at the core delivering an efficient trial system. The design and outcomes a can be improved significantly through unambiguous consistent used in participating institute. However, due to lack generalised legal technical standards, heterogeneity exists between prominent as well within systems several levels, e.g., data, schema, medical codes. This article specifically addresses problem integrating local or proprietary with globally defined...
In this paper, we introduce a novel coding scheme, which allows single quantum systems to encode multi-qubit registers. This for more efficient use of resources and the economy in designing systems. The scheme is based on notion encoding logical states using charge degree freedom discrete energy spectrum that formed by introducing impurities semiconductor material. We propose mechanism performing qubit operations controlled two-qubit operations, providing achieving these appropriate pulses...
The emergence of the Industrial Internet Things paves way for enhancing real-time monitoring capabilities contemporary factories. This can be materialised through sensors collecting data which further analysed. paradigm enables detection indicators concerning systems' degradation and facilitates corrective actions to performed ahead time. In this paper, we propose a damage prediction framework exploiting that are coming from core IT system in steel industry use case. novelty our approach...
With the maintenance offering significant savings potential for manufacturing companies, relevance of advanced strategies like predictive is becoming increasingly important. The H2020 action UPTIME developing a Unified Predictive Maintenance System, which currently being applied to three industrial use cases. This paper presents current state developments and its implementation in
Contemporary wastewater reclamation units entail several diverse treatment and extraction processes, with a multitude of monitored quality characteristics, controlled by variety key operational parameters directly affecting the efficiency treatment. The conventional optimization this highly complex system is time- energy- consuming, frequently relying on intuitive decision making operators, does not predict or forecast changes maintenance. In paper, we introduce intelligent solutions to...
<title>Abstract</title> A novel quantum algorithm for use in Biological Sequence Alignment is presented and analyzed. The large amounts of data extracted from genome sequencing, de novo assembly resequencing, transcriptome sequencing at the DNA or RNA level, foreshadow need higher computing power as well more sophisticated alignment methods. Modern faster techniques genomics have led to reconsideration current methods designing implementing protocols. Novel accelerators may provide drastic...
Artificial Intelligence (AI) advances in healthcare underpin timely and informed interventions that can elevate the quality of care for benefit citizen. This be especially beneficial Intensive Care Unit (ICU) patients. The goal this study is to develop an interoperable electronic health record (EHR) system, integrating reproducible AI-based algorithms ICU services, linked with medical data status visualizations, will allow professionals proceed more diagnosis targeted, personalized...
In this paper, an architecture is presented that allows the extraction of argumentation clauses might exist in publications, order to perform molecular clustering on referenced molecules. Grammar rules are defined and used identify sentences corresponding being present publications. The references those molecules then compiled as lists include their structure definition SMILES format. These given input virtual screening tools a tool, with ultimate goal classify known be prone specific...
In case of an emergency, the immediate action first responders is crucial for saving human lives. Their intervention requires specialized instrumentation, available at all times and easily accessible, which meets stringent requirements in terms detection accuracy, quick localization, reduction false alarms. This work proposes a novel ontology-based methodology integrates data from IoT devices frame Situation Awareness (SA) semantic model. The proposed model aims providing conceptual...
Food safety is undergoing through tremendous challenges over the last years, with food scandals and contamination issues putting constant pressure to global markets, while consumers demands for high quality of products are increasing. This raises need increasing stakeholders' knowledge production process adopting data sharing practices in product supply chain management. Data platforms can undertake role creating value from facilitating secure mutually beneficial multi-partner sharing. Our...