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Year: 2022
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Displaying results 71 to 80 of 802.

  1. Ahmed Abadulla Ashlam; Atta Badii; Frederic Theodor Stahl

    Multi-Phase Algorithmic Framework to Prevent SQL Injection Attacks using Improved Machine learning and Deep learning to Enhance Database security in Real-time

    In: 2022 15th International Conference on Security of Information and Networks (SIN). International Conference on Security of Information and Networks …

  2. SHU-RONG YAN; MANWEN TIAN; KHALID A. ALATTAS; ARDASHIR MOHAMADZADEH; MOHAMMAD SABZALIAN; Amirhosein Mosavi

    An Experimental Machine Learning Approach for Mid-Term Energy Demand Forecasting

    In: IEEE Access (IEEE), Vol. 10, Pages 118926-118940, IEEE, 11/2022.

  3. Mahsa Manshadi; Milad Mousavi; M. Soltani; Amirhosein Mosavi; Levente Kovacs

    Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System

    In: Energies, Vol. 15, No. 24, Pages 9484-9494, MDPI, 12/2022.

  4. Volker Schaus; Tilman Andriof; Colin Borrett; Ingo Burmeister; Francisco Cabral; José Carvalho; Markus Daugs; Louise Hetherton; Florian Jung; Anthony de la Llave; Silvia Martinavarro; Keiran McNally; Maria Mirgkizoudi; Dinesh Krishna Natarajan; Marlon Nuske; Deepak Kumar Pathak; Ian Purton; Fabian Schiemenz; Zoe Tenacci; Benedikt Veith; Jan Siminski; Klaus Merz

    First results of ESA’s collision risk estimation and automated mitigation (CREAM) programme

    In: 73rd. International Astronautical Congress (IAC-2022), 20th IAA Symposium on Space Debris, September 18-22, Paris, France, IAF, 2022.

  5. Julian Ahrens; Lia Ahrens; Hans Dieter Schotten

    AI-driven Scheduling in an IIoT Scenario

    In: 2022 Workshop on Next Generation Networks and Applications. Workshop on Next Generation Networks and Applications (NGNA-2022), November 24, …

  6. Peter Fettke; Alexander Michael Rombach

    Towards Automated Process Planning and Mining

    In: Giuseppe De Giacomo; Antonella Guzzo; Marco Montali; Lior Limonad; Fabiana Fournier; Tagatha Chakraborti (Hrsg.). Process Management in the AI Era …

  7. Brian Moser; Federico Raue; Jörn Hees; Andreas Dengel

    Less is More: Proxy Datasets in NAS approaches

    In: Brian Moser; Federico Raue; Jörn Hees; Andreas Dengel (Hrsg.). The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). …

  8. Nabeel Khalid; Mohammadmahdi Koochali; Vikas Rajashekar; Mohsin Munir; Christoffer Edlund; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

    DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation

    In: 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE-EMBS International Conference on Biomedical and Health …

  9. Nabeel Khalid; Fabian Schmeisser; Mohammadmahdi Koochali; Mohsin Munir; Christoffer Edlund; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

    Point2Mask: A Weakly Supervised Approach for Cell Segmentation using Point Annotation

    In: 2022 Annual Conference on Medical Image Understanding and Analysis. Medical Image Understanding and Analysis (MIUA-2022), July 25-29, Cambridge, …

  10. Jasminder Kaur Sandhu; Umesh Kumar Lilhore; Poongodi M; Navpreet Kaur; Shahab S. Band; Mounir Hamdi; Celestine Iwendi; Sarita Simaiya; M.M. Kamruzzaman; Amirhosein Mosavi

    Predicting the Risk of Heart Failure Based on Clinical Data

    In: Human-centric Computing and Information Sciences (HCIS), Vol. 12, Pages 1322-1355, Kora Information Processing Soc (KIPS-CSWRG)), 12/2022.

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