A5041467864- Semantic Web and Ontologies
- Business Process Modeling and Analysis
- AI-based Problem Solving and Planning
- Multi-Agent Systems and Negotiation
- Service-Oriented Architecture and Web Services
- Diabetes Management and Research
- Diagnosis and treatment of tuberculosis
- Mobile Health and mHealth Applications
- Diverticular Disease and Complications
- Scheduling and Optimization Algorithms
- Software Engineering Research
- Software Engineering Techniques and Practices
- Artificial Intelligence in Healthcare
- Model-Driven Software Engineering Techniques
- BIM and Construction Integration
- Esophageal and GI Pathology
- Usability and User Interface Design
- Advanced Control Systems Optimization
- Educational Games and Gamification
- Intestinal and Peritoneal Adhesions
- Anomaly Detection Techniques and Applications
- Machine Learning in Healthcare
- Safety Systems Engineering in Autonomy
- Biomedical Text Mining and Ontologies
- Reservoir Engineering and Simulation Methods
University of Agronomic Sciences and Veterinary Medicine of Bucharest
2025
Oxford Brookes University
2012-2023
Universitat Rovira i Virgili
2001-2009
University of Reading
2004
Spitalul Clinic Judetean Mures
1999
Heriot-Watt University
1992-1998
Accurate embryo morphology assessment is essential in assisted reproductive technology for selecting the most viable embryo. Artificial intelligence has potential to enhance this process. However, limited availability of data presents challenges training deep learning models. To address this, we trained two generative models using datasets—one created and made publicly available, one existing public dataset—to generate synthetic images at various cell stages, including 2-cell, 4-cell,...
An ontology is a conceptualisation of domain knowledge. It employed in semantic web services technologies to describe the meanings so that they can be dynamically searched for and composed according their meanings. essential dynamic service discovery, composition, invocation. Whether an well constructed has tremendous impact on accuracy description service, complexity definitions, efficiency processing messages passed between services, precision recall rates retrieval from registrations....
No studies have assessed the efficacy of telemedicine using a platform for recording and adjusting insulin doses in patients with diabetes mellitus type 2 (DM2) transitioning from inpatient to outpatient care. This study aimed assess, population DM2, discharged tertiary referral hospital, whether treatment based on use an mHealth application was associated better glycemic control at 3-month follow-up, than standard care.This open, randomized, controlled clinical trial included adult DM2 who...
Extracting essential meaning from the regulatory text helps in automation of Compliance Management (CM) process. CM is a process where organizations assure that processes are run according to requirements and expectations. However, extraction meaningful guidelines comes with many research challenges such as dealing different document-format, implicit document-structure, textual ambiguity complexity. In this paper, extended version Semantic-ART framework described, which focuses on tackling...
Businesses and organizations must comply with requirements expectations such as regulations, policies, mandates guidelines to meet public standards avoid hefty penalties. Checking compliance manually is a laborious, extensive error-prone process. The problems in the process are, some extent, alleviated by using computerized management systems. However, these systems are experiencing challenges coping frequent changes updates regulations. This paper describes our research on use of semantic...
Accurate embryo morphology assessment is essential in assisted reproductive technology for selecting the most viable embryo. Artificial intelligence has potential to enhance this process. However, limited availability of data presents challenges training deep learning models. To address this, we trained two generative models using datasets, one created and made publicly available, existing public dataset, generate synthetic images at various cell stages, including 2-cell, 4-cell, 8-cell,...
Converting regulatory texts to machine interpretable models can enhance the automation of compliance management (CM) processes. The process poses serious research challenges as information be extracted from comes different bodies and is in formats. In this paper, we present main problems that have faced area how tackled them. Our proposed framework, Semantic-ART, considers use semantic annotation (SA) techniques extract regulations automatically.
This paper describes a planned investigation into how learning styles and pedagogical methodologies can be embedded an e-learning tool to assist students' programming. The objective of the research is test hypothesis that combining multiple teaching methods accommodate different learners' preferences will significantly improve comprehension concepts, which in turn increases confidence as consequence performance An interactive teach Python programming language students, called PILeT, has been...
Decision-making is a crucial activity during the planning, design and operation of artefacts. To make decision several alternatives must be evaluated compared, which are tasks that require information, knowledge expertise. A system organises manages associated with every alternative links ideas, arguments issues can greatly improve facilitate making process. This paper presents how an Issue Based Information System (IBIS) implemented in Compendium (http://compendium.open.ac.uk) has been...
NoSQL cloud database systems are new types of databases that built across thousands nodes and capable storing processing Big Data. have increasingly been used in large scale applications need high availability efficiency but with weaker consistency. Consequently, such lack support for standard transactions which provide stronger This paper proposes a multi-key transactional model provides transaction level data The strategy is to supplement current architecture an extra layer manages...
The management of a complex engineering project is difficult task that initially involves the division into tasks; selection right people; and correct allocation those tasks for selected people. Team configuration process typically performed by manager based on his/her past experience available (though frequently scarce, uncertain dynamic) information about cognitive, personal social characteristics potential team members. To support this decision-making we propose TEAKS, knowledge-based...
When a complex project starts in industry the selection of team(s) is one first steps that must be done. The correct people to integrate team within engineering not trivial task. Team configuration type business decision-making typically done by manager based on his/her past experience and with available information about behaviour interaction between potential members. In this work we propose Multi-Agent System provides possible overall present results obtained.