Lucian Radu

ORCID: 0000-0003-0695-406X
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About
Contact & Profiles
Research Areas
  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Concrete Corrosion and Durability
  • Power System Optimization and Stability
  • Atrial Fibrillation Management and Outcomes
  • Cardiac Arrhythmias and Treatments
  • Optimal Power Flow Distribution
  • Theoretical and Computational Physics
  • Cardiac Imaging and Diagnostics
  • Advanced Image and Video Retrieval Techniques
  • Mathematical Dynamics and Fractals
  • Robotics and Sensor-Based Localization
  • Neurogenetic and Muscular Disorders Research
  • Global Cancer Incidence and Screening
  • AI in cancer detection
  • Thermography and Photoacoustic Techniques
  • Smart Grid Security and Resilience
  • Marketing and Advertising Strategies
  • Geotechnical Engineering and Underground Structures
  • Stochastic processes and statistical mechanics
  • Ultrasonics and Acoustic Wave Propagation
  • Image Retrieval and Classification Techniques
  • Ear Surgery and Otitis Media
  • Intellectual Property Rights and Media
  • Management and Organizational Practices

Polytechnic University of Timişoara
2021-2022

Autonomous University of Lisbon
2020-2022

Universidade do Porto
2020

Hospital da Luz
2018

Universidade Católica Portuguesa
2013-2017

Instituto Politécnico de Lisboa
2015

University of Lisbon
2015

University of Minho
2007

American Electric Power (United States)
1982

Public Service Electric and Gas (United States)
1982

This paper presents an evaluation of some previously proposed and newly developed state estimation algorithms. One new algorithm, which employs a constant, decoupled gain matrix certain other simplifying approximations, is shown to be clearly superior the methods considered; accordingly this algorithm has been chosen for use in AEP's control center. The selected fast, reliable can process measurement set consisting line flows, bus injections voltage magnitudes. Test results are given several...

10.1109/tpas.1982.317159 article EN IEEE Transactions on Power Apparatus and Systems 1982-04-01

In structural health monitoring of bridges, machine learning algorithms for damage detection are typically trained using an unsupervised strategy, with data gathered from systems, and assuming the structures undamaged functioning under normal operational conditions during a certain period time. However, scarcity information regarding response seasonal environmental variations less frequent makes distinction between these states damaged ones very challenging may cause to yield false...

10.1002/stc.2950 article EN Structural Control and Health Monitoring 2022-03-05

After detecting initial delamination damage in a hotspot region of composite structure monitored through data-driven approach, the user needs to decide if there is an imminent structural failure or system can be kept operation under monitoring track progression and its impact on safety condition. Therefore, this study proposes area quantification by stochastically interpolating global indices based Gaussian process regression taking into account uncertainty. Auto-regressive models are...

10.1177/1077546320966183 article EN Journal of Vibration and Control 2020-10-21

Purpose This study aims to understand if an online dating app is considered acceptable channel conduct advertising activities and the differences between Generations X, Y Z for such acceptance. Design/methodology/approach A total of 411 Tinder users’ reactions were obtained analyzed using text mining compute sentiment score each response, a Kruskal–Wallis H test verify there are statistical generation. Findings The results showed positive acceptability toward marketing campaign on Tinder,...

10.1108/ejmbe-10-2019-0192 article EN cc-by European Journal of Management and Business Economics 2020-07-01

We consider hyperbolic flows and more generally suspension over two-sided subshifts of finite type, establish an explicit formula for the pointwise dimension arbitrary measure (in particular is not necessarily ergodic it may possess a local product structure). The applications this include description Hausdorff given in terms decomposition, proof existence measures maximal dimension.

10.1080/1468936042000203543 article EN Dynamical Systems 2004-05-27

10.1016/j.ijheatfluidflow.2013.01.012 article EN International Journal of Heat and Fluid Flow 2013-02-11

To assess current practices in digital mammography (DM) Portuguese healthcare providers using systems. investigate compliance with European standards regarding mean glandular dose and quality control practice to identify optimisation needs.Two questionnaires, targeted at breast radiographers chief radiographers, were designed applied 65 imaging departments offering DM. Questions fielded focused on the staff profile technical/clinical practice.Prior starting their activity DM, 70% (82 out of...

10.1007/s13244-017-0550-9 article EN cc-by Insights into Imaging 2017-03-16

A capacidade de a TC cardíaca fornecer um mapa anatómico preciso e excluir presença trombo intracardíaco é conhecida. O objetivo deste estudo foi avaliar o impacto da otimização protocolos evolução tecnológica nas doses radiação contraste na qualidade imagem dos exames prévia ablação fibrilhação auricular (FA). Registo prospetivo doentes consecutivos centro único, foram incluídos os que fizeram num contexto avaliação FA (n = 270), distribuídos em três grupos: Grupo 1, constituído pelos...

10.1016/j.repc.2018.03.011 article PT cc-by-nc-nd Revista Portuguesa de Cardiologia 2018-11-01

Summary A new dual reciprocity‐type approach to approximating the solution of non‐homogeneous hyperbolic boundary value problems is presented in this paper. Typical variants reciprocity method obtain approximate particular solutions two steps. In first step, source function approximated, typically using radial basis, trigonometric or polynomial functions. second obtained by analytically solving equation having approximation as term. However, trial functions way have complicated expressions...

10.1002/nme.5142 article EN International Journal for Numerical Methods in Engineering 2015-10-14

The number of internet users is continuously expanding, and the people with a personal blog rising in vertiginous rate from one year to next.In this context, Blog Marketing starting play an important part within marketing strategies companies/organizations/persons.Different aspects are becoming defining elements image we trying project blogosphere.Promotion through World Wide Web advertising essential development attraction potential clients' interest for products services offers by firm,...

10.29302/oeconomica.2010.12.2.29 article EN Annales Universitatis Apulensis Series Oeconomica 2010-12-31

The traditional State Estimator (SE) based bad data detection does not discriminate between measurements and topology. Enhanced methodology, in which the topology is automatically corrected prior to correction of analog presented. errors are detected by measuring changes quality SE solution around breaker operation. These determine acceptability status changes. Unacceptable reversed, rerun. Consequently, operator needs less time identify correct network. Also, tools for monitoring...

10.1109/td47997.2024.10556161 article EN 2024-05-06

For a model class of repellers non-conformal expanding maps, we obtain sharp lower bounds for the dimension spectra Birkhoff averages Hölder continuous function. As in well-studied case conformal dynamics, are also expressed here terms thermodynamic formalism.

10.1080/14689360600872631 article EN Dynamical Systems 2007-05-23

In Structural Health Monitoring of bridges, machine learning algorithms for damage detection are typically trained using an unsupervised strategy, with data gathered from monitoring systems, and assuming the structures undamaged functioning under normal operational state conditions during a certain period time. However, absence information regarding structural response more extreme environmental conditions, as well, makes distinction between these states very challenging, may cause to yield...

10.12783/shm2019/32204 article EN Structural Health Monitoring 2019-11-15

Content based image retrieval systems are an active research topic in the Computer Vision domain. These important when dealing with urban environment augmented reality applications like building landmarks recognition, tourism storytelling, cultural heritage and so on. In this paper we propose a content-based system that handles recognizing buildings from scenario using only visual cues. The use Bag of Features feature descriptor framework and, for extracting points interest, features....

10.1109/siitme53254.2021.9663587 article EN 2021-10-27

Urban landmarks detection systems represent a research topic that is continuously pursued in the Computer Vision domain. These play an important role tourism and cultural heritage storytelling augmented reality applications urban environments. In this paper, we propose system aims to recognize from scenarios using A-KAZE features aggregated local descriptors. The proposed was evaluated on popular public datasets like ZuBuD TMBuD obtaining positive results.

10.1109/isetc56213.2022.10009951 article EN 2022 International Symposium on Electronics and Telecommunications (ISETC) 2022-11-10

Cardiac computed tomography (CT) can provide a precise three-dimensional anatomic map and exclude intracardiac thrombus prior to atrial fibrillation (AF) ablation. We aimed assess the impact of CT protocol optimization technological advances on contrast radiation doses image quality. From prospective registry consecutive patients who underwent cardiac in single center, 270 were selected whom was performed for assessment AF ablation, divided into three groups: Group 1: first 150 included; 2:...

10.1016/j.repce.2018.03.018 article PT cc-by-nc-nd Revista Portuguesa de Cardiologia (English Edition) 2018-11-01
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