Titlebook: Uncertainty and Imprecision in Decision Making and Decision Support: New Advances, Challenges, and P; Selected papers from Krassimir T. Ata

高腳酒杯

Toncho Boyukov,Krassimir T. Atanassov describes execution of on-site measurements using the four-point method and reports on experience in the field based on several cases in different countries, including measurement variability and the influences of exposure and concrete composition.

interrupt

偽善

Krassimir Atanassov,Evgeniy Marinov,Peter Vassilevntial to enhance PV module efficiency and reliability, thus augmenting the performance and longevity of solar energy facilities. Hence, the automated visual defect inspection system demonstrated in this paper contributes to the development of methodologies for defect detection in PV modules.

BRIEF

Milan Guzan,Tibor Vince,Ján Molnár,Matej Bere?,Branislav Sobotan is then loaded back in Dynamo and Revit to see detailed results and better visualize the building with respect to the complete site. This study shows that the integration of TVD and generative design can ensure buildings are designed to perform at higher environmental standards and ensure the overall long-term sustainability of the project.

顯而易見

事與愿違

Krasiyan Andreev,Ivelina Vardeva ICP-OES to assess the chemical composition of the metal layer. The analysis of the morphology of the textile support after treatment with Cu was studied on the surface and in cross-section by scanning electron microscopy. The CROPICO 4000 Multimeter was used to determine the surface resistance of the conductive textile structure.

圍裙

Ancestor

Wojciech T. Dobrosielskintial utility in various fields such as legal and regulatory industries. As such, this work demonstrates a novel solution to the challenge of literature review and citation generation in large corpora.

temperate

Jerzy Józefczyk,Miros?aw ?awrynowicz,Grzegorz Filcek various construction methods throughout the construction duration; (2) considering uncertainties associated with each sustainability criterion and sub-criterion; (3) integrating various experts’ evaluations; and (4) providing a scientific decision-making approach for general contractors.

GLEAN

Hristo Blidov,Lyubka Doukovskasic dataset encompassing a diverse array of genres including Rock, Pop, Folk, and Classical. The system employs a deep learning approach and trains and classifies utilizing the K-Nearest Neighbours (KNN) algorithm.