2019
DOI: 10.14748/vmf.v8i1.5660
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Erosive tooth wear - epidemiological study on the territory of the city of Varna

Abstract: Проблемите, свързани със зъбното ерозивно износване са много и разнообразни. Необратимият характер на това заболяване и зачестяването му в съвременния свят правят неговото проучване значимо и актуално. В българската научна литература липсват съвременни данни относно епидемиологията и етиологията на зъбната ерозия. Споменатите факти станаха основание за провеждане на нашето проучване. Обект на изследването са случайно подбрани 332 пациенти на територията на град Варна, на които е извършен обстоен дентален прегл… Show more

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Cited by 1 publication
(2 citation statements)
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References 8 publications
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“…The trained ANN models and estimated in [7] regression models were utilized to develop an application programming interface (API) within the MATLAB environment. This interface enables the simulation of geometric characteristics of the molten pool, with the ability to perform the following tasks: calculation of specific operating conditions, investigation of the dependencies of the molten pool geometry on the EBW process parameters (using predefined value of one of the input parameters), or definition of the zone with optimal process parameter settings aiming to fulfil specified requirements for the fusion geometric characteristics.…”
Section: Expert Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…The trained ANN models and estimated in [7] regression models were utilized to develop an application programming interface (API) within the MATLAB environment. This interface enables the simulation of geometric characteristics of the molten pool, with the ability to perform the following tasks: calculation of specific operating conditions, investigation of the dependencies of the molten pool geometry on the EBW process parameters (using predefined value of one of the input parameters), or definition of the zone with optimal process parameter settings aiming to fulfil specified requirements for the fusion geometric characteristics.…”
Section: Expert Systemmentioning
confidence: 99%
“…These ANN models are based on a multi-layered feedforward neural network, trained with Levenberg-Marquardt error backpropagation algorithm [5,6]. They are compared with estimated regression models [7]. The resulting models are implemented to develop an application programming interface for electron beam welding of Inconel 718 thin plates, which is used for prediction, investigation and graphical optimization of the molten pool geometry characteristics of the obtained electron beam welds.…”
Section: Introductionmentioning
confidence: 99%