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  • dashBD on IBM Bluemix 
    CORNITA, Constantin; CALDARE, Veaceslav (Tehnica UTM, 2018)
    În acest articol sunt descrise principalele notiuni din Bluemix, care este o platforma ca un serviciu (PaaS), se analizeaza cele mai utilizate runtime-uri, scopurile creării platformei. Este descrisa tehnologia Cloud Foundry ...
  • Data Encryption algorithms in C# language, based on bitwise “XOR” operator 
    KULEV, M.; PERSIANOV, S. (Technical University of Moldova, 2011)
    Nowadays the Internet has a huge importance in people’s lives. It offers a lot of possibilities, such as: e-commerce, mailing, chatting, data transfer, etc. All this methods of communication are not secured, because Ethernet ...
  • Data Science approach for IT project management 
    GRABIS, Janis; HAIDABRUS, Bohdan; PROTSENKO, Serhiy; PROTSENKO, Iryna; ROVNA, Anna (Tehnica UTM, 2019)
    Majority of the IT companies realized that ability to analyse and use data, could be one of the key factors for increasing of number of successful projects, portfolios, programs. Key performance indicators based on data ...
  • Database in Clouding. Microsoft Azure 
    STARINSCHI, Felicia; SARANCIUC, Dorian (Tehnica UTM, 2018)
    În acest articol se prezintă o descriere generală asupra platformei Azure care oferă suport pentru menținere unui server logic și a bazelor de date. Respectiv prin intermediul Microsoft SQL Server Management Studio ne putem ...
  • Dataflow programming using Qt framework 
    BALICA, Ana; KULEV, Mihail; VIRTOSU, Sava (Technical University of Moldova, 2011)
    As an alternative to the expensive operating systems and miscellaneous applications there exist open source communities that afford all their products for free. Moreover anyone can contribute to the development of ...
  • Dealing With Missing Continuous Biomedical Data: a Data Recovery Method for Machine Learning Purposes 
    IAPASCURTA, Victor (Technical University of Moldova, 2022)
    There are different approaches to dealing with missing data. A common one is by deleting observations containing such data, but it is not applicable when the volume of the data is limited. In this case, a number of methods ...
  • Decision Making System based on Collaborative Agents 
    TURCAN, Ana; BOROZAN, Olesea; ABABII, Victor; SUDACEVSCHI, Viorica; MUNTEANU, Silvia (Technical University of Moldova, 2022)
    In this paper are presented the results of research done in the system projecting and research for making informed decisions based on the collaborative Agents. The mathematical model used in this research had the goal to ...
  • Decision Support Systems and Medicine 
    BELDIGA (VASILACHE), Maria; CĂPĂŢÂNĂ, Gheorghe (Tehnica UTM, 2013)
    In this article is described the structure and principle of operation of an intelligent decisions support system. System is intended to assist decision-making of processes by computer in management research in various ...
  • Decision-making processes for intelligent agents 
    LISNIC, Inga; SCROB, Sergiu; COJUHARI, Irina (Tehnica UTM, 2019)
    The purpose of this article is to harmonize decision-making processes. The theory of decision-making is a totality of methods (mathematical, intuitive or otherwise) designed to find the best possible variants that allow ...
  • The Decision-Making System Based on Adaptive Agents 
    SAFONOV, Grenadine; ABABII, Victor; SUDACEVSCHI, Viorica (Technical University of Moldova, 2017)
    In this paper are presented the results of designing a decision-making system based on adaptive agents. In the design process, the agent's functional model and sequence of operations were developed to transform data, ...
  • Deep Learning in Processing Medical Images and Calculating the Orbit Volume 
    ASIPOVICH, V. S.; DUDICH, O. N.; KRASILNIKOVA, V. L.; KARAKULKO, A. A.; RADNIONOK, A. L.; MOROZ, P. A.; NIKOLAEV, A. Y.; KONOVALOVA, M. A.; YASHIN, K. D. (Tehnica UTM, 2019)
    A software tool for calculating the volume of a soft-tissue eye orbit using the deep learning of neural network Mask R-CNN has been developed and tested. The result of the development will be in demand when evaluating the ...
  • Deep Learning Methods for Tumor Segmentation and Detection in X-Ray Breast Imaging 
    CHATZAKIS, D.; DERMITZAKIS, A.; PALLIKARAKIS, N. (Universitatea Tehnică a Moldovei, 2021)
    Recently there have been a series of machine learning methods or deep learning architectures that have been developed and used in the field medical imaging. In this study, we focus on the use of AI in the field of breast ...
  • Definirea semanticii propoziţiei în limbaj natural 
    POPESCU, Anatol; CREŢU, Sergiu (Technical University of Moldova, 2011)
    This study represents a research concerning the principles and methods of elaboration of an interface in natural language (NL) for informational systems. When we say interpretation of texts in a NL, we mean the process of ...
  • Deformation peculiarities in bidimensional structure ITO/n-Si under concentrated load action 
    GRABCO, D.; HAREA, E.; SHERBAN, D.; USATYI, Iu. (Technical University of Moldova, 2005)
    The development of modern technique requires new information regarding the mechanical properties of various materials having practical application, especially, bidimensional materials for micro- and optoelectronics: films, ...
  • Deformation under nano/microindentation of LiF, MgO, Si monocrystals stipulated as support materials for Cu/substrate structures 
    GRABCO, D.; PYRTSAC, C.; SHIKIMAKA, O. (Tehnica UTM, 2013)
    This work is focused on the specific behaviour of LiF, MgO, Si single crystals when they are put to test by the local nano and micro loading, because they are stipulated as support materials in Cu/substrate structures. ...
  • Dense Array Electroencephalography-based Electric Source Imaging of Interictal Epileptiform Discharges 
    GROPPA, S. A.; CIOLAC, D.; VATAMAN, A.; CHIOSA, V. (Tehnica UTM, 2019)
    Electric source imaging (ESI) based on dense array electroencephalography (EEG) is a non-invasive technique for source localization of epileptic activity. However, the diagnostic accuracy of this tool is still debatable. ...
  • Dental pulp stem cells for regenerative medicine 
    SAMSON, S.; BURLACU, V.; ZOTA, E.; NACU, V.; PĂLĂRIE, V. (Tehnica UTM, 2013)
    Stem cells can self-renew and produce different cell types, thus providing new strategies to regenerate missing tissues and treat diseases. In the field of dentistry, adult mesenchymal stem/stromal cells (MSCs) have been ...
  • Dental soft tissues – as a sourse of stem cells for regenerative medicine 
    SAMSON, S.; NACU, V.; BURLACU, V. (Tehnica UTM, 2016)
    Regenerative medicine based on cell therapy and tissue engineering is an emerging multidisciplinary field involving molecular and cellular biology, medicine, physics, materials science and genetics. Stem cells are distinguished ...
  • Dependence of the Galvanomagnetic Properties of Bismuth-Antimony Thin Films on Their Composition and Crystal Structure 
    GRABOV, Vladimir; KOMAROV, Vladimir; KABLUKOVA, Natallia (Tehnica UTM, 2013)
    The influence of composition and structure on galvanomagnetic and thermoelectric properties of Bi-Sb thin films is studied. The comparison of properties of block textured and monocrystalline films, made by the method of ...
  • Depistarea vulnerabilităţii bazelor de date ale aplicaţiilor Web utilizând tehnica SQL-Injection 
    BULDUMAC, Oleg (Tehnica UTM, 2018)
    Această lucrare descrie una dintre cele mai populare tehnici de depistare a vulnerabilităților a bazelor de date cu ajutorul unor instrucțiuni speciale SQL care din careva motive nu sunt filtrare de către serverul HTTP. ...

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