@misc{Noeske,
  author    = {Noeske, Jannik},
  title     = {Die Zukunft war jetzt},
  series = {sub\urban. Zeitschrift f{\"u}r Kritische Stadtforschung},
  volume    = {2021},
  journal   = {sub\urban. Zeitschrift f{\"u}r Kritische Stadtforschung},
  number    = {Band 9, Nr. 3/4},
  publisher = {sub\urban e. V.},
  address   = {Berlin},
  doi       = {10.36900/suburban.v9i3/4.711},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20220112-45573},
  pages     = {397 -- 402},
  abstract  = {Die US-amerikanische Kulturanthropologin Christina Schwenkel legt mit Building socialism eine quellenges{\"a}ttigte ethnografische Studie {\"u}ber Zerst{\"o}rung, Wiederaufbau und Nutzungsperspektiven der vietnamesischen Stadt Vinh vor. Ein besonderes Augenmerk liegt auf den agencies der Beteiligten. Im Zentrum der Untersuchung steht ein Quartier, dessen Wohnblocks mit materieller und ideeller Unterst{\"u}tzung der DDR errichtet wurden. Nicht nur sind die methodischen Zug{\"a}nge der Untersuchung vielversprechend und gewinnbringend - angesichts des drohenden Stadtumbaus, der f{\"u}r die Bewohner:innen des Quartiers Quang Trung Abriss und Verdr{\"a}ngung bedeuten w{\"u}rde, gewinnt ihre st{\"a}dtebauhistorische Ethnografie auch an politischer Relevanz.},
  subject      = {Vietnam},
  language  = {de}
}
@misc{Alabassy,
  type      = {Master Thesis},
  author    = {Alabassy, Mohamed Said Helmy},
  title     = {Automated Approach for Building Information Modelling of Crack Damages via Image Segmentation and Image-based 3D Reconstruction},
  doi       = {10.25643/bauhaus-universitaet.6416},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20230818-64162},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {101},
  abstract  = {As machine vision-based inspection methods in the field of Structural Health Monitoring (SHM) continue to advance, the need for integrating resulting inspection and maintenance data into a centralised building information model for structures notably grows. Consequently, the modelling of found damages based on those images in a streamlined automated manner becomes increasingly important, not just for saving time and money spent on updating the model to include the latest information gathered through each inspection, but also to easily visualise them, provide all stakeholders involved with a comprehensive digital representation containing all the necessary information to fully understand the structure's current condition, keep track of any progressing deterioration, estimate the reduced load bearing capacity of the damaged element in the model or simulate the propagation of cracks to make well-informed decisions interactively and facilitate maintenance actions that optimally extend the service life of the structure. Though significant progress has been recently made in information modelling of damages, the current devised methods for the geometrical modelling approach are cumbersome and time consuming to implement in a full-scale model. For crack damages, an approach for a feasible automated image-based modelling is proposed utilising neural networks, classical computer vision and computational geometry techniques with the aim of creating valid shapes to be introduced into the information model, including related semantic properties and attributes from inspection data (e.g., width, depth, length, date, etc.). The creation of such models opens the door for further possible uses ranging from more accurate structural analysis possibilities to simulation of damage propagation in model elements, estimating deterioration rates and allows for better documentation, data sharing, and realistic visualisation of damages in a 3D model.},
  subject      = {Building Information Modeling},
  language  = {en}
}
@misc{Loesel,
  author    = {L{\"o}sel, Joy-Fabienne},
  title     = {Fungal Future - Der Zukunft gewachsen},
  volume    = {2021},
  publisher = {Lucia Verlag},
  address   = {Weimar},
  doi       = {10.25643/bauhaus-universitaet.4440},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210603-44408},
  pages     = {134},
  abstract  = {Die Auswirkungen der durch den Kapitalismus befeuerten Umweltzerst{\"o}rung werden immer deutlicher erkennbar. Unsere Gesellschaft ist nun damit konfrontiert, dass ihre kulturelle Identit{\"a}t, aber auch ihr Wohlstand sowohl eng mit Konsum und Wirtschaftswachstum als auch mit der Gesundheit der Natur verbunden sind. Es scheint ein geeigneter Moment, um die Perspektive zu wechseln und einer neuen Form des Wachstums eine Chance zu geben. Pilze sind eine von der Region unabh{\"a}ngige, nat{\"u}rlich vorkommende Ressource, die lokal angebaut und verarbeitet werden kann, ohne die Umwelt zu belasten. Pilze sind klimafreundlich, m{\"u}llvermeidend und in bestehende nat{\"u}rliche Kreisl{\"a}ufe inkludierbar. Kurzum, Pilze sind cool, doch das wissen nicht Viele. Das sollte sich {\"a}ndern. Mit Myzelwachstum gegen das Wachstumsparadigma.},
  subject      = {Pilze},
  language  = {de}
}
@techreport{MuellerSeidelLudwigetal.,
  author    = {M{\"u}ller, Christoph and Seidel, Maik and Ludwig, Horst-Michael and M{\"u}ller, Matthias},
  title     = {Pr{\"u}fung des Frost-Tausalz-Widerstandes von Beton f{\"u}r die Expositionsklasse XF2},
  doi       = {10.25643/bauhaus-universitaet.4887},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20240226-48877},
  pages     = {34},
  abstract  = {In cold and moderate climates concrete can be subjected to a combined salt frost attack, which can cause scaling damage. Consequently, numerous test procedures were developed to determine the resistance of concrete compositions against this kind of attack. These tests typically mimic a severe attack with high levels of saturation, e.g. as for concrete pavements. Very few approaches exist for testing the salt frost scaling resistance of concretes, which are subjected only to medium levels of saturation, as such concrete elements typically don't show notable scaling damage. However, the increasing use of low carbon cements with high clinker substitution rates might affect the salt frost scaling resistance of such concrete elements to some extent. To ensure adequate durability of such concretes it is thus desirable to determine their performance in an actual test procedure instead of relying on past experience. Thus, less severe test methods was developed, which are based on the Slab test and the CDF test, repectively.},
  subject      = {Beton},
  language  = {de}
}
@periodical{NeubauerRadecke,
  author    = {Neubauer, Jan and Radecke, Thomas},
  title     = {Die Musikfeste des Allgemeinen Deutschen Musikvereins von 1859 bis 1937 (Eine Dokumentation der Veranstaltungen). Kritische Edition, herausgegeben von Jan Neubauer und Thomas Radecke},
  editor    = {Neubauer, Jan and Radecke, Thomas},
  doi       = {10.25643/bauhaus-universitaet.4386},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210305-43861},
  pages     = {732},
  abstract  = {Ohne das fast achtzigj{\"a}hrige Wirken des Allgemeinen Deutschen Musikvereins (ADMV) w{\"u}rde das deutsche Musikleben in seiner heutigen Form nicht existieren. Die Dokumentation der Programme zu seinen von 1859 bis 1937 nahezu j{\"a}hrlich anderen Orts veranstalteten Musikfesten erschließt erstmals grundlegende Quellen hierzu. Diese Datenbasis vertieft f{\"u}r den Zeitraum von vier deutschen Systemen den Diskurs {\"u}ber Probleme der Repertoirebildung, Institutionalisierung, Kommerzialisierung und Mediation von Musik. 1861 als erster {\"u}berregionaler deutscher Musikverein mit dem offiziellen Ziel der Integration musikalisch gegens{\"a}tzlicher zeitgen{\"o}ssischer Richtungen und k{\"u}nstlerischen Nachwuchsf{\"o}rderung konstituiert, trat der ADMV einerseits kosmopolitisch auf, und seine Musikfeste entwickelten sich zu einem Forum f{\"u}r internationale zeitgen{\"o}ssische Musik wie einem Podium f{\"u}r die Wiederentdeckung {\"a}lterer Musik. Hier erlebten Werke von Richard Strauss, Gustav Mahler und Arnold Sch{\"o}nberg fr{\"u}he, vielbeachtete Auff{\"u}hrungen. Anderseits reiften parallel dazu protonationalistische Tendenzen zu einem Nationalismus heran, der die Musikfeste 1938 nahtlos in die nationalsozialistischen Reichsmusiktage {\"u}berf{\"u}hren konnte. Nach zahlreichen Standortwechseln sind die nunmehr restaurierten Materialien der einstigen Vereinsbibliothek und Vereinsakten im Hochschularchiv / Th{\"u}ringischen Landesmusikarchiv Weimar sowie Goethe- und Schiller-Archiv Weimar wieder zug{\"a}nglich. So wird jetzt eine erste kritische Edition der Festprogramme angeboten, in welcher die Programmfolge zu jeder Auff{\"u}hrung mit Werkangaben und dem Nachweis der Auff{\"u}hrenden prozessual von der Planung bis zur Pr{\"a}zisierung und Erg{\"a}nzung bzw. Modifizierung rekonstruiert wurde. Dar{\"u}ber hinaus werden alle wissenschaftlichen Vortr{\"a}ge, Haupt- u. a. Versammlungen, Beratungen und die gesamten Personalia des Vereins und der jeweiligen Lokalkomitees dokumentiert sowie lassen sich Komponisten und Interpreten {\"u}ber Indizes erschließen. Diese Publikation ist im von der Deutschen Forschungsgemeinschaft gef{\"o}rderten Projekt Der Allgemeine Deutsche Musikverein (ADMV, 1861-1937) - ein internationales Forum der Musik in Deutschlands Mitte am Gemeinsamen Institut f{\"u}r Musikwissenschaft Weimar-Jena der Hochschule f{\"u}r Musik FRANZ LISZT und der Friedrich-Schiller-Universit{\"a}t entstanden.},
  subject      = {Musikfest},
  language  = {de}
}
@unpublished{KhosraviSheikhKhozaniCooper,
  author    = {Khosravi, Khabat and Sheikh Khozani, Zohreh and Cooper, James R.},
  title     = {Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms},
  volume    = {2021},
  doi       = {10.25643/bauhaus-universitaet.4499},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20211004-44998},
  abstract  = {Accurate prediction of stable alluvial hydraulic geometry, in which erosion and sedimentation are in equilibrium, is one of the most difficult but critical topics in the field of river engineering. Data mining algorithms have been gaining more attention in this field due to their high performance and flexibility. However, an understanding of the potential for these algorithms to provide fast, cheap, and accurate predictions of hydraulic geometry is lacking. This study provides the first quantification of this potential. Using at-a-station field data, predictions of flow depth, water-surface width and longitudinal water surface slope are made using three standalone data mining techniques -, Instance-based Learning (IBK), KStar, Locally Weighted Learning (LWL) - along with four types of novel hybrid algorithms in which the standalone models are trained with Vote, Attribute Selected Classifier (ASC), Regression by Discretization (RBD), and Cross-validation Parameter Selection (CVPS) algorithms (Vote-IBK, Vote-Kstar, Vote-LWL, ASC-IBK, ASC-Kstar, ASC-LWL, RBD-IBK, RBD-Kstar, RBD-LWL, CVPSIBK, CVPS-Kstar, CVPS-LWL). Through a comparison of their predictive performance and a sensitivity analysis of the driving variables, the results reveal: (1) Shield stress was the most effective parameter in the prediction of all geometry dimensions; (2) hybrid models had a higher prediction power than standalone data mining models, empirical equations and traditional machine learning algorithms; (3) Vote-Kstar model had the highest performance in predicting depth and width, and ASC-Kstar in estimating slope, each providing very good prediction performance. Through these algorithms, the hydraulic geometry of any river can potentially be predicted accurately and with ease using just a few, readily available flow and channel parameters. Thus, the results reveal that these models have great potential for use in stable channel design in data poor catchments, especially in developing nations where technical modelling skills and understanding of the hydraulic and sediment processes occurring in the river system may be lacking.},
  subject      = {Maschinelles Lernen},
  language  = {en}
}
@unpublished{SheikhKhozaniKumbhakar,
  author    = {Sheikh Khozani, Zohreh and Kumbhakar, Manotosh},
  title     = {Discussion of "Estimation of one-dimensional velocity distribution by measuring velocity at two points" by Yeganeh and Heidari (2020)},
  doi       = {10.25643/bauhaus-universitaet.4366},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210216-43663},
  abstract  = {The concept of information entropy together with the principle of maximum entropy to open channel flow is essentially based on some physical consideration of the problem under consideration. This paper is a discussion on Yeganeh and Heidari (2020)'s paper, who proposed a new approach for measuring vertical distribution of streamwise velocity in open channels. The discussers argue that their approach is conceptually incorrect and thus leads to a physically unrealistic situation. In addition, the discussers found some wrong mathematical expressions (which are assumed to be typos) written in the paper, and also point out that the authors did not cite some of the original papers on the topic.},
  subject      = {Geschwindigkeit},
  language  = {en}
}
@unpublished{KhosraviSheikhKhozaniMao,
  author    = {Khosravi, Khabat and Sheikh Khozani, Zohreh and Mao, Luka},
  title     = {A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction},
  doi       = {10.25643/bauhaus-universitaet.4388},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20210311-43889},
  pages     = {43},
  abstract  = {Complex vortex flow patterns around bridge piers, especially during floods, cause scour process that can result in the failure of foundations. Abutment scour is a complex three-dimensional phenomenon that is difficult to predict especially with traditional formulas obtained using empirical approaches such as regressions. This paper presents a test of a standalone Kstar model with five novel hybrid algorithm of bagging (BA-Kstar), dagging (DA-Kstar), random committee (RC-Kstar), random subspace (RS-Kstar), and weighted instance handler wrapper (WIHWKstar) to predict scour depth (ds) for clear water condition. The dataset consists of 99 scour depth data from flume experiments (Dey and Barbhuiya, 2005) using abutment shapes such as vertical, semicircular and 45◦ wing. Four dimensionless parameter of relative flow depth (h/l), excess abutment Froude number (Fe), relative sediment size (d50/l) and relative submergence (d50/h) were considered for the prediction of relative scour depth (ds/l). A portion of the dataset was used for the calibration (70\%), and the remaining used for model validation. Pearson correlation coefficients helped deciding relevance of the input parameters combination and finally four different combinations of input parameters were used. The performance of the models was assessed visually and with quantitative metrics. Overall, the best input combination for vertical abutment shape is the combination of Fe, d50/l and h/l, while for semicircular and 45◦ wing the combination of the Fe and d50/l is the most effective input parameter combination. Our results show that incorporating Fe, d50/l and h/l lead to higher performance while involving d50/h reduced the models prediction power for vertical abutment shape and for semicircular and 45◦ wing involving h/l and d50/h lead to more error. The WIHW-Kstar provided the highest performance in scour depth prediction around vertical abutment shape while RC-Kstar model outperform of other models for scour depth prediction around semicircular and 45◦ wing.},
  subject      = {maschinelles Lernen},
  language  = {en}
}