„deep-learning“

Suchergebnisse

10.000+ Treffer

• Representation learning with deep extreme learning machines for efficient image set classification
  Uzair, Muhammad ; Shafait, Faisal ; Ghanem, Bernard ; Mian, Ajmal
• Advancing Semantic and Digital Communications through Machine Learning
  Beck, Edgar 2025 Shaker
• PyTorch – KI-Modelle trainieren, tunen und einsetzen
  Gollnick, Bert 2026 Rheinwerk
• Seeing through disorder in multimode fibers via physics-informed deep learning towards information transmission
  Zhang, Qian 2025 Shaker
• Automated segmentation of the fibula from CT imaging using two-stepped deep learning in 3D U-Net architectures
  de Souza Nascimento, Jônatas ; Pankert, Tobias ; Peters, Florian ; Hölzle, Frank ; Modabber, Ali ; Wien, Mathias ; Raith, Stefan 2025 Universitätsbibliothek der RWTH Aachen
• Performance evaluation of junctionless accumulation-mode FinFET using TCAD-enabled deep learning approach
  Ghoshhajra, Rachita ; Biswas, Kalyan ; Sultana, Mahamuda ; Sarkar, Angsuman
• Predicting innovative firms using web mining and deep learning
  Kinne, Jan ; Lenz, David 2021 Universitätsbibliothek Gießen
• Deep Learning-Based Algorithm for Staging Secondary Caries in Bitewings
  Nistelrooij, Niels ˜vanœ ; Chaves, Eduardo Trota ; Cenci, Maximiliano Sergio ; Cao, Lingyun ; Loomans, Bas A.C. ; Xi, Tong ; El Ghoul, Khalid ; Romero, Vitor Henrique Digmayer ; Lima, Giana Silveira ; Flügge, Tabea Viktoria ; van Ginneken, Bram ; Huysmans, Marie-Charlotte ; Vinayahalingam, Shankeeth ; Mendes, Fausto Medeiros
• Fatigue Crack Segmentation and Characterization of Additively Manufactured Ti‐6Al‐4V Using X‐Ray Computed Tomography
  Hejazi, Bardia ; Compart, Amaya ; Fritsch, Tobias ; Wagner, Ruben ; Weidner, Anja ; Biermann, Horst ; Benz, Christopher ; Sander, Manuela ; Bruno, Giovanni 2024 Bundesanstalt für Materialforschung und -prüfung (BAM)
• Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients
  Klein, Sebastian ; Wuerdemann, Nora ; Demers, Imke ; Kopp, Christopher ; Quantius, Jennifer ; Charpentier, Arthur ; Tolkach, Iurii ; Brinker, Klaus ; Sharma, Shachi Jenny ; George, Julie ; Heß, Jochen ; Stögbauer, Fabian ; Lacko, Martin ; Struijlaart, Marijn ; Hout, Mari F.C.M. van den ; Wagner, Steffen ; Wittekindt, Claus ; Langer, Christine ; Arens, Christoph ; Büttner, Reinhard ; Quaas, Alexander ; Reinhardt, Hans Christian ; Speel, Ernst-Jan ; Klussmann, Jens Peter
• Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy
  van Natijne, Adriaan L. ; Bogaard, Thom ; Zieher, Thomas ; Pfeiffer, Jan ; Lindenbergh, Roderik
• 2S-ML: A simulation-based classification and regression approach for drawability assessment in deep drawing
  Lehrer, Tobias ; Kaps, Arne ; Lepenies, Ingolf ; Duddeck, Fabian ; Wagner, Marcus 2023 Ostbayerische Technische Hochschule Regensburg
• Automatically recommending components for issue reports using deep learning
  Choetkiertikul, Morakot ; Dam, Hoa Khanh ; Tran, Truyen ; Pham, Trang ; Ragkhitwetsagul, Chaiyong ; Ghose, Aditya
• Deep learning based soft sensors for industrial machinery
  Maschler, Benjamin ; Ganssloser, Sören ; Hablizel, Andreas ; Weyrich, Michael 2020 Universitätsbibliothek der Universität Stuttgart
• Deep learning architecture for air quality predictions
  Li, Xiang ; Peng, Ling ; Hu, Yuan ; Shao, Jing ; Chi, Tianhe
• A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+)
  Phan, Nhathai ; Dou, Dejing ; Piniewski, Brigitte ; Kil, David
• Ethics Across the Curriculum: Prospects for Broader (and Deeper) Teaching and Learning in Research and Engineering Ethics
  Mitcham, Carl ; Englehardt, Elaine E.
• Peer-instructed seminar attendance is associated with improved preparation, deeper learning and higher exam scores: a survey study
  Bouwmeester, Rianne A. M. ; de Kleijn, Renske A. M. ; van Rijen, Harold V. M.
• Infant head and brain segmentation from magnetic resonance images using fusion-based deep learning strategies
  Torres, Helena R. ; Oliveira, Bruno ; Morais, Pedro ; Fritze, Anne ; Hahn, Gabriele ; Rüdiger, Mario ; Fonseca, Jaime C. ; Vilaça, João L.
• Combining Deep Learning and Physical Models: A Benchmark Study on All‐Sky Imager‐Based Solar Nowcasting Systems
  Fabel, Yann ; Nouri, Bijan ; Wilbert, Stefan ; Blum, Niklas ; Schnaus, Dominik ; Triebel, Rudolph ; Zarzalejo, Luis F. ; Ugedo, Enrique ; Kowalski, Julia ; Pitz‐Paal, Robert