[{"language":[{"iso":"eng"}],"year":"2023","_id":"4205","date_updated":"2026-03-17T15:28:57Z","doi":"10.5281/zenodo.10262228","conference":{"name":"Conference: Novel Trends in Data Science 2023","location":"Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland","start_date":"2023-10-22","end_date":"2023-10-25"},"status":"public","citation":{"ieee":"S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs,” presented at the Conference: Novel Trends in Data Science 2023, Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland, 2023.","bibtex":"@inproceedings{Sanaullah_Koravuna_Rückert_Jungeblut_2023, title={A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs}, DOI={<a href=\"https://doi.org/10.5281/zenodo.10262228\">10.5281/zenodo.10262228</a>}, author={Sanaullah, Sanaullah and Koravuna, Shamini  and Rückert, Ulrich  and Jungeblut, Thorsten}, year={2023} }","apa":"Sanaullah, S., Koravuna, S., Rückert, U., &#38; Jungeblut, T. (2023). A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs. Presented at the Conference: Novel Trends in Data Science 2023, Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland. <a href=\"https://doi.org/10.5281/zenodo.10262228\">https://doi.org/10.5281/zenodo.10262228</a>","alphadin":"<span style=\"font-variant:small-caps;\">Sanaullah, Sanaullah</span> ; <span style=\"font-variant:small-caps;\">Koravuna, Shamini </span> ; <span style=\"font-variant:small-caps;\">Rückert, Ulrich </span> ; <span style=\"font-variant:small-caps;\">Jungeblut, Thorsten</span>: A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs. In: , 2023","chicago":"Sanaullah, Sanaullah, Shamini  Koravuna, Ulrich  Rückert, and Thorsten Jungeblut. “A Novel Spike Vision Approach for Robust Multi-Object Detection Using SNNs,” 2023. <a href=\"https://doi.org/10.5281/zenodo.10262228\">https://doi.org/10.5281/zenodo.10262228</a>.","short":"S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: 2023.","ama":"Sanaullah S, Koravuna S, Rückert U, Jungeblut T. A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs. In: ; 2023. doi:<a href=\"https://doi.org/10.5281/zenodo.10262228\">10.5281/zenodo.10262228</a>","mla":"Sanaullah, Sanaullah, et al. <i>A Novel Spike Vision Approach for Robust Multi-Object Detection Using SNNs</i>. 2023, doi:<a href=\"https://doi.org/10.5281/zenodo.10262228\">10.5281/zenodo.10262228</a>."},"author":[{"orcid":"0000-0003-4112-802X","full_name":"Sanaullah, Sanaullah","last_name":"Sanaullah","first_name":"Sanaullah","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718005","id":"248865"},{"first_name":"Shamini ","last_name":"Koravuna","full_name":"Koravuna, Shamini "},{"first_name":"Ulrich ","last_name":"Rückert","full_name":"Rückert, Ulrich "},{"full_name":"Jungeblut, Thorsten","orcid":"0000-0001-7425-8766","last_name":"Jungeblut","id":"242294","first_name":"Thorsten"}],"publication_status":"published","keyword":["Spiking Neural Network","Neural Network","Object Detection"],"user_id":"242294","main_file_link":[{"url":"https://www.researchgate.net/publication/376229340_A_Novel_Spike_Vision_Approach_for_Robust_Multi-Object_Detection_Using_SNNs","open_access":"1"}],"type":"conference","project":[{"_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b","name":"Institut für Systemdynamik und Mechatronik"}],"oa":"1","title":"A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs","date_created":"2024-01-04T13:00:57Z","external_id":{"zenodo":["10.5281/zenodo.10262227"]}},{"title":"Detection of snow-coverage on PV-modules with images based on CNN-techniques","date_created":"2023-05-23T16:08:36Z","jel":["D83"],"volume":"P328","quality_controlled":"1","department":[{"_id":"102"}],"external_id":{"unknown":["http://dl.gi.de/handle/20.500.12116/39404"]},"series_title":"Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328","publication_status":"published","publication":"ENVIROINFO 2022","keyword":["convolutional neural network","photovoltaic modules","snow detection","machine learning"],"type":"conference","publication_identifier":{"isbn":["\t978-3-88579-722-7"],"issn":["\t1617-5468"]},"oa":"1","project":[{"_id":"A82B586E-C7DA-11E9-B0AE-1F4CB252D58D","name":"Adaptive Ertragsprognose mit data-Mining im PV-Feld auf Grundlage iener digitalen Signatur der PV-Module und der Systemkomponenten (PV digital 4.0)"}],"user_id":"237837","corporate_editor":["Gesellschaft für Informatik e.V."],"main_file_link":[{"open_access":"1","url":"http://dl.gi.de/handle/20.500.12116/39404"}],"date_updated":"2026-03-17T15:28:39Z","place":"Bonn","author":[{"last_name":"Behrens","orcid":"0009-0009-0247-8204","full_name":"Behrens, Grit","first_name":"Grit","id":"207629"},{"last_name":"Hepp","full_name":"Hepp, Dennis","first_name":"Dennis"},{"first_name":"Sebastian","last_name":"Hempelmann","full_name":"Hempelmann, Sebastian"},{"full_name":"Friedrich, Werner ","last_name":"Friedrich","first_name":"Werner "}],"citation":{"ieee":"G. Behrens, D. Hepp, S. Hempelmann, and W. Friedrich, “Detection of snow-coverage on PV-modules with images based on CNN-techniques,” in <i>ENVIROINFO 2022</i>, Hamburg, 2022, vol. P328.","alphadin":"<span style=\"font-variant:small-caps;\">Behrens, Grit</span> ; <span style=\"font-variant:small-caps;\">Hepp, Dennis</span> ; <span style=\"font-variant:small-caps;\">Hempelmann, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Friedrich, Werner </span>: Detection of snow-coverage on PV-modules with images based on CNN-techniques. In: <span style=\"font-variant:small-caps;\">Wohlgemuth, V.</span> ; <span style=\"font-variant:small-caps;\">Naumann, S.</span> ; <span style=\"font-variant:small-caps;\">Arnd, H.-K.</span> ; <span style=\"font-variant:small-caps;\">Behrens, G.</span> ; <span style=\"font-variant:small-caps;\">Höb, M.</span> ; <span style=\"font-variant:small-caps;\">Gesellschaft für Informatik e.V.</span> (Hrsg.): <i>ENVIROINFO 2022</i>, <i>Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328</i>. Bd. P328. Bonn, 2022","apa":"Behrens, G., Hepp, D., Hempelmann, S., &#38; Friedrich, W. (2022). Detection of snow-coverage on PV-modules with images based on CNN-techniques. In V. Wohlgemuth, S. Naumann, H.-K. Arnd, G. Behrens, M. Höb, &#38; Gesellschaft für Informatik e.V. (Eds.), <i>ENVIROINFO 2022</i> (Vol. P328). Bonn.","bibtex":"@inproceedings{Behrens_Hepp_Hempelmann_Friedrich_2022, place={Bonn}, series={Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328}, title={Detection of snow-coverage on PV-modules with images based on CNN-techniques}, volume={P328}, booktitle={ENVIROINFO 2022}, author={Behrens, Grit and Hepp, Dennis and Hempelmann, Sebastian and Friedrich, Werner }, editor={Wohlgemuth, Volker  and Naumann, Stefan  and Arnd, Hans-Knud and Behrens, Grit  and Höb, Maximilian and Gesellschaft für Informatik e.V.Editors}, year={2022}, collection={Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328} }","short":"G. Behrens, D. Hepp, S. Hempelmann, W. Friedrich, in: V. Wohlgemuth, S. Naumann, H.-K. Arnd, G. Behrens, M. Höb, Gesellschaft für Informatik e.V. (Eds.), ENVIROINFO 2022, Bonn, 2022.","chicago":"Behrens, Grit, Dennis Hepp, Sebastian Hempelmann, and Werner  Friedrich. “Detection of Snow-Coverage on PV-Modules with Images Based on CNN-Techniques.” In <i>ENVIROINFO 2022</i>, edited by Volker  Wohlgemuth, Stefan  Naumann, Hans-Knud Arnd, Grit  Behrens, Maximilian Höb, and Gesellschaft für Informatik e.V., Vol. P328. Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328. Bonn, 2022.","mla":"Behrens, Grit, et al. “Detection of Snow-Coverage on PV-Modules with Images Based on CNN-Techniques.” <i>ENVIROINFO 2022</i>, edited by Volker  Wohlgemuth et al., vol. P328, 2022.","ama":"Behrens G, Hepp D, Hempelmann S, Friedrich W. Detection of snow-coverage on PV-modules with images based on CNN-techniques. In: Wohlgemuth V, Naumann S, Arnd H-K, Behrens G, Höb M, Gesellschaft für Informatik e.V., eds. <i>ENVIROINFO 2022</i>. Vol P328. Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328. Bonn; 2022."},"conference":{"name":"EnviroInfo 2022","location":"Hamburg","end_date":"2022-09-30","start_date":"2022-09-26"},"status":"public","year":"2022","editor":[{"last_name":"Wohlgemuth","full_name":"Wohlgemuth, Volker ","first_name":"Volker "},{"full_name":"Naumann, Stefan ","last_name":"Naumann","first_name":"Stefan "},{"last_name":"Arnd","full_name":"Arnd, Hans-Knud","first_name":"Hans-Knud"},{"last_name":"Behrens","full_name":"Behrens, Grit ","first_name":"Grit "},{"last_name":"Höb","full_name":"Höb, Maximilian","first_name":"Maximilian"}],"_id":"2953","language":[{"iso":"eng"}]},{"quality_controlled":"1","funded_apc":"1","department":[{"_id":"103"}],"title":"Magnetic Elements for Neuromorphic Computing","file_date_updated":"2021-01-03T16:40:04Z","date_created":"2021-01-03T16:40:37Z","volume":25,"file":[{"date_created":"2021-01-03T16:40:04Z","creator":"aehrmann","date_updated":"2021-01-03T16:40:04Z","success":1,"content_type":"application/pdf","file_size":5784324,"file_name":"_2020_Blachowicz_Molecules25_2550_v2.pdf","relation":"main_file","file_id":"663","access_level":"open_access"}],"publication_identifier":{"issn":["1420-3049"]},"type":"journal_article","user_id":"243110","publication":"Molecules","status":"public","intvolume":"        25","doi":"10.3390/molecules25112550","year":"2020","article_number":"2550","article_type":"review","has_accepted_license":"1","oa":"1","main_file_link":[{"open_access":"1"}],"issue":"11","publication_status":"published","urn":"urn:nbn:de:hbz:bi10-6622","keyword":["neuromorphic computing","adaptive computing","cognitive computing","magnetism","micromagnetic simulations","magnetic nanoparticles","neural network"],"citation":{"ama":"Blachowicz T, Ehrmann A. Magnetic Elements for Neuromorphic Computing. <i>Molecules</i>. 2020;25(11). doi:<a href=\"https://doi.org/10.3390/molecules25112550\">10.3390/molecules25112550</a>","mla":"Blachowicz, Tomasz, and Andrea Ehrmann. “Magnetic Elements for Neuromorphic Computing.” <i>Molecules</i>, vol. 25, no. 11, 2550, 2020, doi:<a href=\"https://doi.org/10.3390/molecules25112550\">10.3390/molecules25112550</a>.","short":"T. Blachowicz, A. Ehrmann, Molecules 25 (2020).","chicago":"Blachowicz, Tomasz, and Andrea Ehrmann. “Magnetic Elements for Neuromorphic Computing.” <i>Molecules</i> 25, no. 11 (2020). <a href=\"https://doi.org/10.3390/molecules25112550\">https://doi.org/10.3390/molecules25112550</a>.","apa":"Blachowicz, T., &#38; Ehrmann, A. (2020). Magnetic Elements for Neuromorphic Computing. <i>Molecules</i>, <i>25</i>(11). <a href=\"https://doi.org/10.3390/molecules25112550\">https://doi.org/10.3390/molecules25112550</a>","bibtex":"@article{Blachowicz_Ehrmann_2020, title={Magnetic Elements for Neuromorphic Computing}, volume={25}, DOI={<a href=\"https://doi.org/10.3390/molecules25112550\">10.3390/molecules25112550</a>}, number={112550}, journal={Molecules}, author={Blachowicz, Tomasz and Ehrmann, Andrea}, year={2020} }","alphadin":"<span style=\"font-variant:small-caps;\">Blachowicz, Tomasz</span> ; <span style=\"font-variant:small-caps;\">Ehrmann, Andrea</span>: Magnetic Elements for Neuromorphic Computing. In: <i>Molecules</i> Bd. 25 (2020), Nr. 11","ieee":"T. Blachowicz and A. Ehrmann, “Magnetic Elements for Neuromorphic Computing,” <i>Molecules</i>, vol. 25, no. 11, 2020."},"author":[{"full_name":"Blachowicz, Tomasz","last_name":"Blachowicz","first_name":"Tomasz"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-0695-3905/work/160526088","id":"223776","first_name":"Andrea","last_name":"Ehrmann","full_name":"Ehrmann, Andrea","orcid":"0000-0003-0695-3905"}],"date_updated":"2026-03-17T15:29:32Z","_id":"662","language":[{"iso":"eng"}]}]
