2023
Geyer F. C., Jacobsen H.-A., Mayer R., Mandl P. (2023): "An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems". Proceedings of the 24th International Middleware Conference on ZZZ, S. 71-84.
Vellmer J., Mandl P., Bellmann T., Balluff M., Weber M., Döschl A., Keller M.-E. (2023): "A Machine Learning Approach to Enterprise Matchmaking Using Multilabel Text Classification Based on Semi-structured Website Content". Springer Nature Switzerland, International Conference on Information Integration and Web Intelligence, S. 493-509.
Weber M., Banihashemi F., Mandl P., Jacobsen H.-A., Mayer R. (2023): "Overcoming Data Scarcity through Transfer Learning in CO2-Based Building Occupancy Detection". Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, S. 1-10.
Keller M.-E., Döschl A. , Mandl P. (2023): "AMPEL: An Approach for Machine-learning Based Prediction and Evaluation of the Learned Success of Social Media Posts". IEEE, 33rd Conference of Open Innovations Association (FRUCT) S. 139-147.
Hundschell, S., Weber, M., Mandl, P. (2023): "An Empirical Study of Adversarial Domain Adaptation on Time Series Data". Lecture Notes in Computer Science, Volume 13588.https://doi.org/10.1007/978-3-031-23492-7_4
Obster F., Brand J., Ciolacu M., Humpe A. (2023): “Improving Boosted Generalized Additive Models with Random Forests: A Zoo Visitor Case Study for Smart Tourism”. Procedia Computer Science, Volume 217, Pages 187-197. https://doi.org/10.1016/j.procs.2022.12.214.
2022
Dersch, S., Schöttl A., Krzystek P., Heurich M. (2022): Novel single tree detection by transformers using UAV-based multispectral imagery. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B2-2022. XXIV ISPRS Congress (2022 edition), 6–11 June 2022, Nice, France. https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-981-2022.
Hell, M., Brandmeier, M., Briechle, S., Krzystek, P. 2022. Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV Net. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-022-00200-4.
Voglimacci-Stephanopoli, J.; Wendleder, A.; Lantuit, H.; Langlois, A.; Stettner, S.; Schmitt, A.; Dedieu, J.-P.; Roth, A. & Royer, A. (2022): Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation. The Cryosphere, 16(6), 2163-2181. https://doi.org/10.5194/tc-16-2163-2022
Schollerer L.; Schmitt, A.; Wendleder, A. & Rogginger, S. (2022): Schritthaltende Baufallerkundung aus dem All mit frei verfügbaren Satellitenaufnahmen. zfv, DVW, 3/2022, 168-180. https://doi.org/10.12902/zfv-0391-2022.
2021
Wendleder, A., Gnatzy, G., Schmitt, A. & Abdullahi, S. (2021) Evolution of supraglacial lakes on the Greenland Ice sheet. In: Proceedings of the European SAR Conference 2021. ISBN 978-3-8007-5457-1 / ISSN 2197-4403. ©VDE VERLAG GMBH. Berlin. Offenbach.
Wendleder, A., Lanzenberger, T. & Schmitt, A. (2021) The detection of snow avalanches using TerraSAR-X data. In: Proceedings of the European SAR Conference 2021. ISBN 978-3-8007-5457-1 / ISSN 2197-4403. ©VDE VERLAG GMBH. Berlin. Offenbach.
Klingebiel, C., Schmitt, A., Wendleder, A. & Moser, L. (2021) Lac Bam imaged by TerraSAR-X - Classification and Visualisation of Seasonal and Annual Changes. In: Proceedings of the European SAR Conference 2021. ISBN 978-3-8007-5457-1 / ISSN 2197-4403. ©VDE VERLAG GMBH. Berlin. Offenbach.
Hauser, S. & Schmitt, A. (2021) Glacier Retreat in Iceland Mapped from Space: Time Series Analysis of Geodata from 1941 to 2018. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-021-00139-y.
Auch, M., Balluff, M., Mandl, P., Wolff, C., 2021. Similarity of Software Libraries: A Tag-based Classification Approach:, in: Proceedings of the 10th International Conference on Data Science, Technology and Applications. Presented at the DATA Conference, SCITEPRESS - Science and Technology Publications, Online Streaming, pp. 17–28. https://doi.org/10.5220/0010521600170028
Briechle, S., Krzystek, P., Vosselman, G., 2021. Silvi-Net – A dual-CNN approach for combined classification of tree species and standing dead trees from remote sensing data. International Journal of Applied Earth Observation and Geoinformation 98, 102292. https://doi.org/10.1016/j.jag.2020.102292
Dersch, S., Heurich, M., Krueger, N., Krzystek, P., 2021. Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds. ISPRS Journal of Photogrammetry and Remote Sensing 172, 207–222. https://doi.org/10.1016/j.isprsjprs.2020.11.016
Döschl, A., Keller, M.-E. and Mandl, P. 2021, "Performance evaluation of GPU- and cluster-computing for parallelization of compute-intensive tasks", International Journal of Web Information Systems https://doi.org/10.1108/IJWIS-03-2021-0032
Januzaj, E., Weber, M., Keller, M.-E., Auch, M., Mandl, P., 2021. CoSim: An Approach to Calculate Complex Object Similarity: Work in Progress. 23rd International Conference on Information Integration and Web Intelligence. https://doi.org/10.1145/3487664.3487709
Keller, M.-E., Döschl, A., Mandl, P., Schill, A., 2021. When she posts next? A comparison of refresh strategies for Online Social Networks. In The 23rd International Conference on Information Integration and Web Intelligence. https://doi.org/10.1145/3487664.3487778
Schaub, H., Schöttl, A., Hoh, M., 2021. 6-DOF Grasp Detection for Unknown Objects Using Surface Reconstruction. 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications 1–6.
Schuhbäck, S., Wischhof, L., 2021. Decentralized Pedestrian Density Maps based on Sidelink Communication. IEEEE International Conference on Communications 14–23.
Weber, M., Auch, M., Doblander, C., Mandl, P., Jacobsen, H.-A., 2021. Transfer Learning With Time Series Data: A Systematic Mapping Study. IEEE Access 9, 165409–165432. https://doi.org/10.1109/ACCESS.2021.3134628
2020
Auch, M., Weber, M., Mandl, P., Wolff, C., 2020. Similarity-based analyses on software applications: A systematic literature review. Journal of Systems and Software 168, 110669. https://doi.org/10.1016/j.jss.2020.110669
Briechle, S., Krzystek, P., Vosselman, G., 2020a. CLASSIFICATION OF TREE SPECIES AND STANDING DEAD TREES BY FUSING UAV-BASED LIDAR DATA AND MULTISPECTRAL IMAGERY IN THE 3D DEEP NEURAL NETWORK POINTNET++. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. V-2–2020, 203–210. https://doi.org/10.5194/isprs-annals-V-2-2020-203-2020
Briechle, S., Molitor, N., Krzystek, P., Vosselman, G., 2020b. Detection of radioactive waste sites in the Chornobyl exclusion zone using UAV-based lidar data and multispectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing 167, 345–362. https://doi.org/10.1016/j.isprsjprs.2020.06.015
Döschl, A., Keller, M.-E., Mandl, P., 2020. Performance evaluation of Apache Hadoop and Apache Spark for parallelization of compute-intensive tasks, in: Proceedings of the 22nd International Conference on Information Integration and Web-Based Applications & Services. Presented at the iiWAS ’20, ACM, Chiang Mai Thailand, pp. 313–321. https://doi.org/10.1145/3428757.3429121
Krzystek, P., Dersch, S., Amiri, N., 2020a. Single tree segmentation in highly dense lidar point clouds by combining Min-Max graph-cut clustering with object-based stem detection. ISPRS Journal for Photogrammetry and Remote Sensing.
Krzystek, P., Molitor, N., Briechle, S., Bugai, D., Antropov, V., Tretiak, O., Zabulonov, Y., 2020b. UAV-BASED MAPPING OF VEGETATION AND CONTAMINIATION IN THE CHORNOBYL EXCLUSION ZONE -NEW DEVELOPMENTS AND FUTURE PROSPECTS. INUDECO 2020.
Krzystek, P., Serebryanyk, A., Schnörr, C., Červenka, J., Heurich, M., 2020c. Large-Scale Mapping of Tree Species and Dead Trees in Šumava National Park and Bavarian Forest National Park Using Lidar and Multispectral Imagery. Remote Sensing 12, 661. https://doi.org/10.3390/rs12040661
Mandl, P., 2020. Einsatz von ACID-Transaktionen im Wandel der Zeit. HMD 57, 324–347. https://doi.org/10.1365/s40702-019-00575-w
Schaub, H., Schottl, A., 2020. 6-DOF Grasp Detection for Unknown Objects, in: 2020 10th International Conference on Advanced Computer Information Technologies (ACIT). Presented at the 2020 (ACIT), IEEE, Deggendorf, Germany, pp. 400–403. https://doi.org/10.1109/ACIT49673.2020.9208918
Schmitt, A., Wendleder, A., Kleynmans, R., Hell, M., Roth, A., Hinz, S., 2020. Multi-source and multi-temporal image fusion on hypercomplex bases. Remote sensing. https://doi.org/10.3390/rs12060943
Schöttl, A., 2020. A light-weight method to foster the (Grad)CAM interpretability and explainability of classification networks. arXiv:2009.12546 [cs].
Weber, M., Doblander, C., Mandl, P., 2020. Detecting Building Occupancy with Synthetic Environmental Data, in: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. Presented at the, Virtual Event Japan, pp. 324–325. https://doi.org/10.1145/3408308.3431124
Wischhof, L., Schaipp, F., Schuhback, S., Koster, G., 2020. Simulation vs. Testbed: Small Scale Experimental Validation of an Open-Source LTE-A Model, in: 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. Presented at the 2020 IEEE, London, United Kingdom, pp. 1–7. https://doi.org/10.1109/PIMRC48278.2020.9217163
2019
Amiri, N., Krzystek, P., Heurich, M., Skidmore, A., 2019. Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest. Remote Sensing 11, 2614. https://doi.org/10.3390/rs11222614
Bae, S., Levick, S.R., Heidrich, L., Magdon, P., Leutner, B.F., Wöllauer, S., Serebryanyk, A., Nauss, T., Krzystek, P., Gossner, M.M., Schall, P., Heibl, C., Bässler, C., Doerfler, I., Schulze, E.-D., Krah, F.-S., Culmsee, H., Jung, K., Heurich, M., Fischer, M., Seibold, S., Thorn, S., Gerlach, T., Hothorn, T., Weisser, W.W., Müller, J., 2019. Radar vision in the mapping of forest biodiversity from space. Nat Commun 10, 4757. https://doi.org/10.1038/s41467-019-12737-x
Heilig, A., Wendleder, A., Schmitt, A., Mayer, C., 2019. Discriminating Wet Snow and Firn for Alpine Glaciers Using Sentinel-1 Data: A Case Study at Rofental, Austria. Geosciences 9, 69. https://doi.org/10.3390/geosciences9020069
Januzaj, E., Januzaj, V., Mandl, P., 2019. An Application of Distributed Data Mining to Identify Data Quality Problems, in: Proceedings of the 21st International Conference on Information Integration and Web-Based Applications & Services. Presented at the iiWAS2019, ACM, Munich Germany, pp. 418–422. https://doi.org/10.1145/3366030.3366103
Keller, M.-E., Forster, J., Mandl, P., Aich, F., Althaller, J., 2019. A German Corpus on Topic Classification and Success of Social Media Posts from Facebook. Proceedings of the XXth Conference of Open Innovations Association FRUCT. URL https://doaj.org (accessed 1.28.21).
Schöttl, A., 2019. Auf dem Weg zu intelligenten Assistenzsystemen am Beispiel eines Manipulatorarms, in: Pfannstiel, M.A., Da-Cruz, P., Mehlich, H. (Eds.), Digitale Transformation von Dienstleistungen im Gesundheitswesen VI. Springer Fachmedien Wiesbaden, Wiesbaden, pp. 333–350. https://doi.org/10.1007/978-3-658-25461-2_17
Schuhbäck, S., Daßler, N., Wischhof, L., Köster, G., n.d. Towards a Bidirectional Coupling of Pedestrian Dynamics and Mobile Communication Simulation. Presented at the Proceedings of 6th International OMNeT++ Community Summit 2019, pp. 60–51. https://doi.org/10.29007/nnfj
2018
Amiri, N., Polewski, P., Heurich, M., Krzystek, P., Skidmore, A.K., 2018. Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests. ISPRS Journal of Photogrammetry and Remote Sensing 141, 265–274. https://doi.org/10.1016/j.isprsjprs.2018.05.006
Blocksdorf, A., Schmitt, A., Wendleder, A., 2018. Der Forggensee im Jahreswandel – auf dem Weg zur täglichen Wasserstandsmeldung aus dem Weltall. PFG 86, 29–33. https://doi.org/10.1007/s41064-018-0049-0
Briechle, S., Sizov, A., Tretyak, O., Antropov, V., Molitor, N., Krzystek, P., 2018. UAV-BASED DETECTION OF UNKNOWN RADIOACTIVE BIOMASS DEPOSITS IN CHERNOBYL’S EXCLUSION ZONE. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLII–2, 163–169. https://doi.org/10.5194/isprs-archives-XLII-2-163-2018
Häusl, M., Auch, M., Forster, J., Mandl, P., Schill, A., 2018. Social Media Idea Ontology : A Concept for Semantic Search of Product Ideas in Customer Knowledge through User-Centered Metrics and Natural Language Processing. URL /paper/Social-Media-Idea-Ontology-%3A-A-Concept-for-Semantic-H%C3%A4usl-Auch/b46a76833722f36b2f12eb74f0c96dbe70c025ef (accessed 1.28.21).
Häusl, M., Forster, J., Auch, M., Karrasch, M., Mandl, P., 09/18. An Evaluation Concept for Named Entity Recognition and Keyword APIs in Social Media Analysis, Second International Workshop on Entrepreneurship in Electronic and Mobile Business. IWEMP 2018.
Keller, M.-E., Stoffelen, B., Kailer, D., Mandl, P., Althaller, J., 10/18. Predicting the Success of Posts for Brand Pages on Facebook. IADIS International Conference WWW/Internet 2018 and Applied Computing 2018
Lindner, T., Mandl, P., Bauer, N., Grimm, M., 2018. Erkennung von Duplikaten in Big Data am Fallbeispiel der digitalen Musiknutzung. HMD 55, 581–600. https://doi.org/10.1365/s40702-017-0387-1
Polewski, P., Yao, W., Heurich, M., Krzystek, P., Stilla, U., 2018. Learning a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds. ISPRS Journal of Photogrammetry and Remote Sensing 140, 33–44. https://doi.org/10.1016/j.isprsjprs.2017.04.001
Schmitt, A., Sieg, T., Wurm, M., Taubenböck, H., 2018. Investigation on the separability of slums by multi-aspect TerraSAR-X dual-co-polarized high resolution spotlight images based on the multi-scale evaluation of local distributions. International Journal of Applied Earth Observation and Geoinformation 64, 181–198. https://doi.org/10.1016/j.jag.2017.09.006
2017
Einzmann, K., Immitzer, M., Böck, S., Bauer, O., Schmitt, A., Atzberger, C., 2017. Windthrow Detection in European Forests with Very High-Resolution Optical Data. Forests 8, 21. https://doi.org/10.3390/f8010021
Forster, J., Entrup, B., 2017. A Cognitive Computing Approach for Classification of Complaints in the Insurance Industry. IOP Conf. Ser.: Mater. Sci. Eng. 261, 012016. https://doi.org/10.1088/1757-899X/261/1/012016
Hu, J., Mou, L., Schmitt, A., Zhu, X.X., 2017. FusioNet: A two-stream convolutional neural network for urban scene classification using PolSAR and hyperspectral data, in: 2017 Joint Urban Remote Sensing Event. Presented at the 2017 (JURSE), pp. 1–4. https://doi.org/10.1109/JURSE.2017.7924565
Keller, M.-E., et. al., 2017. Verarbeitung komplexer XML-basierter Massendaten in BigData-Anwendungen. AKWI 0, 20–27.
Mandl, P., Döschl, A., 2017. Klassisches Multi-threading versus MapReduce zur Parallelisierung rechenintensiver Tasks in der Amazon Cloud. HMD. https://doi.org/10.1365/s40702-017-0360-z
Ullmann, T., Banks, S.N., Schmitt, A., Jagdhuber, T., 2017. Scattering characteristics of X-, C- and L-Band PolSAR data examined for the tundra environment of the Tuktoyaktuk Peninsula, Canada. https://doi.org/10.3390/app7060595
Wurm, M., Taubenböck, H., Weigand, M., Schmitt, A., 2017b. Slum mapping in polarimetric SAR data using spatial features. Remote Sensing of Environment 194, 190–204. https://doi.org/10.1016/j.rse.2017.03.030
Wurm, M., Weigand, M., Schmitt, A., Geiß, C., Taubenböck, H., 2017a. Exploitation of textural and morphological image features in Sentinel-2A data for slum mapping. Presented at the JURSE 2017, IEEE, Dubai, UAE, pp. 1–4.
2016
Amiri, N., Yao, W., Heurich, M., Krzystek, P., Skidmore, A.K., 2016. Estimation of regeneration coverage in a temperate forest by 3D segmentation using airborne laser scanning data. International Journal of Applied Earth Observation and Geoinformation 52, 252–262. https://doi.org/10.1016/j.jag.2016.06.022
Gopinath, S., Wischhof, L., Ponikwar, C., Hof, H.-J., 2016. Hybrid Solutions for Data Dissemination in Vehicular Networks. https://doi.org/10.1109/WD.2016.7461519
Mandl, P., Bauer, N., Döschl, A., Grimm, M., Wickertsheim, L., 2016. Die Verwertung von Online-Musiknutzungen – Herausforderungen für die IT. HMD 53, 126–138. https://doi.org/10.1365/s40702-015-0191-8
Polewski, P., Yao, W., Heurich, M., Krzystek, P., Stilla, U., 2016. Combining Active and Semisupervised Learning of Remote Sensing Data Within a Renyi Entropy Regularization Framework. IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing 9, 2910–2922. https://doi.org/10.1109/JSTARS.2015.2510867
Richter, I., Raith, F., Weber, M., 2016. Problems in Agile Global Software Engineering Projects especially within Traditionally Organised Corporations: [An exploratory semi-structured interview study], in: Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering - C3S2E ’16. Presented at the the Ninth International C* Conference, ACM Press, Porto, Portugal, pp. 33–43. https://doi.org/10.1145/2948992.2949019
Weiss, J., Schill, A., 2016. Specifying Executable or Nonexecutable Acceptance Test Cases for Event Processing Applications, in: 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). Presented at the 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), IEEE, Limassol, Cyprus, pp. 235–239. https://doi.org/10.1109/SEAA.2016.17
Weiss, J., Schill, A., Richter, I., Mandl, P., 2016. Literature Review of Empirical Research Studies within the Domain of Acceptance Testing, in: 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). Presented at the 2016 (SEAA), IEEE, Limassol, Cyprus, pp. 181–188. https://doi.org/10.1109/SEAA.2016.33
2015
Ali, N., Mandl, P., Baumgärtner, R., 2015. Nutzung von Apache Mahout für eine leichtgewichtige Empfehlungsgenerierung auf der Basis von Produktbewertungen. HMD 52, 215–226. https://doi.org/10.1365/s40702-015-0129-1
Forster, J., Häusl, M., Mandl, P., Weiß, J., Bresolin, S., 2015. Ein hybrider Empfehlungsdienst für Handelspartnerschaften im E-Commerce. HMD 52, 227–239. https://doi.org/10.1365/s40702-015-0120-x
Haeusl, M., Forster, J., Kailer, D., 2015. An Approach to Identify SPAM Tweets Based on Metadata, in: 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Presented at the 2015 IEEE / WIC / ACM, Singapore, Singapore, pp. 48–51. https://doi.org/10.1109/WI-IAT.2015.44
Lackermair, G., 2015. DETECTING MICROBLOGGING COMMUNICATION STRATEGIES USED BY ONLINE RETAILERS. AKWI 0, 6.
Polewski, Przemyslaw, Yao, W., Heurich, M., Krzystek, P., Stilla, U., 2015a. Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery, in: 2015 Presented at the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, Boston, MA, USA, pp. 10–18. https://doi.org/10.1109/CVPRW.2015.7301378
Polewski, Przemyslaw, Yao, W., Heurich, M., Krzystek, P., Stilla, U., 2015b. Detection of fallen trees in ALS point clouds using a Normalized Cut approach trained by simulation. ISPRS Journal of Photogrammetry and Remote Sensing 105, 252–271. https://doi.org/10.1016/j.isprsjprs.2015.01.010
Polewski, P., Yao, W., Heurich, M., Krzystek, P., Stilla, U., 2015. DETECTION OF SINGLE STANDING DEAD TREES FROM AERIAL COLOR INFRARED IMAGERY BY SEGMENTATION WITH SHAPE AND INTENSITY PRIORS. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. II-3/W4, 181–188. https://doi.org/10.5194/isprsannals-II-3-W4-181-2015
2014
Lackermair, G., Kailer, D., 2014a. Comparing the Twitter Usage of Online Retailers in Germany and in the UK. ICIW 66–71.
Lackermair, G., Kailer, D., 2014b. Twitter Usage of German Online Retailers. The Ninth International Multi-Conference on Computing in the Global Information Technology 95–100.
Kailer, D., 2014. A Cloud-based Social Commerce Service. The Ninth International Conference on Internet and Web Applications and Services 37–40.
Kailer, D., Mandl, P., 2014. Combining Hashtags and Ratings for Opinion Expression in Customer Reviews. In 13th International Conference
Kailer, D., Mandl, P., Schill, A., 2014. Supporting customers’ decision making with Rated Tags, in: Proceedings of the Sixteenth International Conference on Electronic Commerce, ICEC ’14. Association for Computing Machinery, New York, NY, USA, pp. 33–40. https://doi.org/10.1145/2617848.2617849
2013
Kailer, D., Mandl, P., Schill, A., 2013. Rated Tags: Adding Rating Capability to Collaborative Tagging, in: 2013 International Conference on Cloud and Green Computing. Presented at the 2013 (CGC), IEEE, Karlsruhe, Germany, pp. 249–255. https://doi.org/10.1109/CGC.2013.46
Kailer, D., Mandl, P., 2013. An Empirical Study on the Usage of Social Media in German B2C-Online Stores. IJAIT 3, 1–14. https://doi.org/10.5121/ijait.2013.3501
Lowe, R., Mandl, P., Weber, M., 2013. Supporting generic context-aware applications for mobile devices, in: 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops). Presented at the 2013 IEEE, San Diego, CA, pp. 97–102. https://doi.org/10.1109/PerComW.2013.6529464
2012
Kailer, D., Mandl, P., 2012a. Cloud-basierte Messaging-Dienste. PIK - Praxis der Informationsverarbeitung und Kommunikation 35. https://doi.org/10.1515/pik-2012-0029
Kailer, D., Mandl, P., 2012b. Hoch verfügbare und konsistente Datenhaltung in der Cloud. HMD 49, 69–77. https://doi.org/10.1007/BF03340759
Lowe, R., Mandl, P., Weber, M., 2012. Context Directory: A context-aware service for mobile context-aware computing applications by the example of Google Android, in: 2012 IEEE International Conference on Pervasive Computing and Communications Workshops. Presented at the 2012 IEEE, Lugano, Switzerland, pp. 76–81. https://doi.org/10.1109/PerComW.2012.6197616
Mandl, P., 2012. Ist SOA obsolet? -- Eine kritische Betrachtung. PIK - Praxis der Informationsverarbeitung und Kommunikation 35, 119–123. https://doi.org/10.1515/pik-2012-0020
2011
Kailer, D., 2011. Fallstudie Bestellung über .NET Anbindung, in: Zimmer, T. (Ed.), Prozessintegration mit SAP NetWeaver® PI 7.1. Vieweg+Teubner, Wiesbaden, pp. 151–170. https://doi.org/10.1007/978-3-8348-8267-7_7
Kailer, D., Mandl, P., 2011. Einsatz von Cloud Computing im E-Commerce. PIK - Praxis der Informationsverarbeitung und Kommunikation 34. https://doi.org/10.1515/piko.2011.006
Lackermair, G., 2011. Hybrid cloud architectures for the online commerce. Procedia Computer Science 3, 550–555. https://doi.org/10.1016/j.procs.2010.12.091
Weiss, J., Mandl, P., Schill, A., 2011. Functional testing of Complex Event Processing applications, in: 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing. Presented at the 2011 IEEE, Cluj-Napoca, Romania, pp. 407–413. https://doi.org/10.1109/ICCP.2011.6047906
2010
Lackermair, G., Strahringer, S., Mandl, P., 2010. Dynamically Scalable Architectures for E-Commerce. A Strategy for Partial Integration of Cloud Resources in an E-Commerce System. Matthias Schumann and Lutz M. Kolbe and Michael H. Breitner and Arne Frerichs (Hrsg.) Multikonferenz Wirtschaftsinformatik 2010 1289–1301.
2009
Reitberger, J., Schnörr, Cl., Krzystek, P., Stilla, U., 2009. 3D segmentation of single trees exploiting full waveform LIDAR data. ISPRS Journal of Photogrammetry and Remote Sensing 64, 561–574. https://doi.org/10.1016/j.isprsjprs.2009.04.002
2007
Schmidt, K., Löwe, R., Mandl, P., 2007. Benchmarking-Ansätze für betriebliche Informationssysteme. PIK - Praxis der Informationsverarbeitung und Kommunikation 30, 106–111. https://doi.org/10.1515/PIKO.2007.106