„Deep learning approaches“

Suchergebnisse

1.000+ Treffer

• From LiDAR to deep learning: A case study of computer-assisted approaches to the archaeology of Guadalupe and northeast Honduras
  Lyons, Mike ; Fecher, Franziska ; Reindel, Markus
• Multiparametric Functional MRI of the Kidney: Current State and Future Trends with Deep Learning Approaches
  Zhang, Cecilia ; Schwartz, Martin ; Küstner, Thomas ; Martirosian, Petros ; Seith, Ferdinand
• Computer-aided diagnosis systems: a comparative study of classical machine learning versus deep learning-based approaches
  Guetari, Ramzi ; Ayari, Helmi ; Sakly, Houneida
• Domain Adaptation and Out-of-Distribution Approaches for Object Detection
  Menke, Maximilian 2026 Shaker
• 14th International Munich Chassis Symposium 2023
  Pfeffer, Peter E. 2025 Springer Vieweg
• Automated Brain Tumor Detection in MRI Scans Using Deep Learning Approaches
  Jyoti ; Kumar, Anuj ; Sachar, Silky
• Deep learning and embeddings-based approaches for keyphrase extraction: a literature review
  Giarelis, Nikolaos ; Karacapilidis, Nikos
• Deep learning approaches for real-time image super-resolution
  Shamsolmoali, Pourya ; Celebi, M. Emre ; Wang, Ruili
• Comparing hand-crafted and deep learning approaches for detecting AI-generated text: performance, generalization, and linguistic insights
  Ardeshirifar, Ramtin
• Mental healthcare chatbot based on natural language processing and deep learning approaches: Ted the therapist
  Pandey, Sumit ; Sharma, Srishti ; Wazir, Samar
• Deep Learning-Based Approaches to Face De-Identification with Data Utility Preservation
  Leibl, Andreas ; Mayer, Helmut ; Gomez Barrero, Marta 2025 Universitätsbibliothek der Universität der Bundeswehr München
• Evaluating groundwater potential with the synergistic use of geospatial methods and advanced machine learning approaches
  Anand, Vicky ; Rajput, Vishnu D. ; Minkina, Tatiana M. ; Mandzhieva, Saglara ; Sharma, Aastha ; Kumar, Deepak ; Kumar, Sunil
• A Comparative Study of Deep Learning Approaches for Price Forecasting: A Case Study on Pomegranate
  Vishnu Shankar, S. ; Lavanya, V. ; Pandiyaraj, P. ; Ajaykumar, R. ; Kumar Yadav, Adit
• Autoimmune blistering skin disease classification: classical machine learning, deep learning, and hybrid approaches
  Singh, Manbir ; Singh, Maninder ; De, Dipankar ; Handa, Sanjeev ; Mahajan, Rahul ; Hanumanthu, Vinod ; Chatterjee, Debajyoti
• A Comparative Study on Novel Hybrid Approaches Based on CEEMDAN, Random Forest, Deep Learning Methods for Predicting Daily Wind Speed
  Gharehbaghi, Amin ; Ghasemlounia, Redvan ; Ahmadi, Farshad ; Mirabbasi, Rasoul ; Torabi Haghighi, Ali
• Advancing Alzheimer’s detection: integrative approaches in MRI analysis with traditional and deep learning models
  Vanaja, T. ; Shanmugavadivel, Kogilavani ; Subramanian, Malliga ; Kanimozhiselvi, C. S.
• Leveraging graph-based learning for credit card fraud detection: a comparative study of classical, deep learning and graph-based approaches
  Harish, Sunisha ; Lakhanpal, Chirag ; Jafari, Amir Hossein
• Comparing Different Approaches for Detecting Hate Speech in Online Portuguese Comments
  Matos, Bernardo Cunha ; Santos, Raquel Bento ; Carvalho, Paula ; Ribeiro, Ricardo ; Batista, Fernando 2022 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• A comprehensive exploration of deep learning approaches for pulmonary nodule classification and segmentation in chest CT images
  Canayaz, Murat ; Şehribanoğlu, Sanem ; Özgökçe, Mesut ; Akıncı, M. Bilal
• Deep learning-based approaches for robust classification of cervical cancer
  Pacal, Ishak ; Kılıcarslan, Serhat