• Suche: Advanced Deep Learning with Python

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61

The application of deep learning in economic analysis and marketing strategy formulation in the tourism industry.
Zhang J ; Gao M
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Humans Models, Economic Neural Networks, Compute... Marketing economics Marketing methods Deep Learning …
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62

SAIPy: A Python Package for single station Earthquake Monitoring using Deep Learning
Nishtha Srivastava ; Wei Li ; Megha Chakraborty ; et al.

Physics - Geophysics 0202 electrical engineer... FOS: Physical sciences 02 engineering and techn... 01 natural sciences Geophysics (physics.geo-... …
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63

Rectified linear unit-based deep learning model for ferromagnetic blood flow under magnetohydrodynamic and radiation effects
Louati, Hanen ; Shah, Zahoor ; Zahoor Raja, Muhammad Asif ; et al.
In Journal of Radiation Research and Applied Sciences September 2025 18(3)

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64

Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging.
Mohammad N ; Muad AM ; Ahmad R ; et al.
Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE

Algorithms Humans Image Processing, Comput... Neural Networks, Compute... Bicuspid growth & develo... Deep Learning
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65

Deep learning-based modelling of polyvinyl chloride tube-confined concrete columns under different load eccentricities
Shang, Li ; Isleem, Haytham F. ; Alsaadawi, Mostafa M.
In Engineering Applications of Artificial Intelligence 1 April 2025 145

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66

TensorFlow-based deep learning framework for thermodynamic and entropy generation analysis of dihydrogen oxide-based nanofluids
Iqbal, Jamshaid ; Akbar, Yasir
In International Journal of Hydrogen Energy 16 January 2026 201

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68

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package
Rasti, Behnood ; Zouaoui, Alexandre ; Mairal, Julien ; et al.

Abundance estimation Linear mixture Machine learning Deep learning Optimization Hyperspectral …
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69

Performance enhancement in hybrid SDN using advanced deep learning with multi‐objective optimization frameworks under heterogeneous environments.
Bishla, Deepak ; Kumar, Brijesh
International Journal of Communication Systems. 2/1/2025, Vol. 38 Issue 3, p1-18. 18p.

SOFTWARE-defined network... AUTOENCODERS ZEBRAS TOPOLOGY
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70

Enhancing differentiation between unipolar and bipolar depression through integration of machine learning and electroencephalogram analysis
Liu, Xinyu ; Chen, Bingxu ; Zhang, Haoran ; et al.
In Journal of Affective Disorders 15 November 2025 389

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71

Beyond encryption: How deep learning can break microcontroller security through power analysis
Negabi, Ismail ; Ait El Asri, Smail ; El Adib, Samir ; et al.
In e-Prime - Advances in Electrical Engineering, Electronics and Energy March 2025 11

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73

TorchQC - A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control
Koutromanos, Dimitris ; Stefanatos, Dionisis ; Paspalakis, Emmanuel
In Computer Physics Communications May 2025 310

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74

Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data
Khan, Md Nasim ; Ahmed, Mohamed M.
In Accident Analysis and Prevention July 2020 142

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77

An Advanced Hybrid Meta-Heuristic Model for Solar Power Generation Forecasting via Ensemble Deep Learning.
Devi, K. V. B. Saraswathi ; Srivenkatesh, Muktevi
Ingénierie des Systèmes d'Information. Oct2023, Vol. 28 Issue 5, p1395-1407. 13p.

RENEWABLE energy sources STANDARD deviations SOLAR energy DEEP learning CONVOLUTIONAL neural net... FISHER discriminant anal... …
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78

Advanced neuromonitoring powered by ICM+ and its place in the Brand New AI World, reflections at the 20th anniversary boundary
Smielewski, P. ; Beqiri, E. ; Mataczynski, C. ; et al.
In Brain and Spine 2024 4

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