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Artikel 91 Enhancing Offline Signature Verification via Transfer Learning and Deep Neural Networks
Enthalten in Augmented human research Bd. 9, 19.8.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 92 Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks
Enthalten in Scientific reports Bd. 15, 13.3.2025, Nr. 1, date:12.2025: 1-28
Online Ressource
Artikel 93 Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks
Enthalten in Evolving systems Bd. 12, 18.5.2021, Nr. 3, date:9.2021: 583-590
Online Ressource
Artikel 94 Improvising the performance of image-based recommendation system using convolution neural networks and deep learning
Enthalten in Soft computing Bd. 24, 3.3.2020, Nr. 19, date:10.2020: 14531-14544
Online Ressource
Artikel 95 Learning deep hierarchical and temporal recurrent neural networks with residual learning
Enthalten in International journal of machine learning and cybernetics Bd. 11, 29.1.2020, Nr. 4, date:4.2020: 873-882
Online Ressource
Artikel 96 Modeling and effect analysis of machining parameters for surface roughness and specific energy consumption during TC18 machining using deep reinforcement learning and neural networks
Enthalten in Artificial intelligence review Bd. 58, 11.4.2025, Nr. 7, date:7.2025: 1-31
Online Ressource
Artikel 97 Modelling and parameter identification of coefficient of friction for deep-drawing quality steel sheets using the CatBoost machine learning algorithm and neural networks
Enthalten in The international journal of advanced manufacturing technology Bd. 124, 8.12.2022, Nr. 7-8, date:2.2023: 2229-2259
Online Ressource
Artikel 98 Multi-Task Learning for Food Identification and Analysis with Deep Convolutional Neural Networks
Enthalten in Journal of computer science and technology Bd. 31, 6.5.2016, Nr. 3, date:5.2016: 489-500
Online Ressource
Artikel 99 Neural networks and arbitrage in the VIX
Enthalten in Digital finance Bd. 2, 13.8.2020, Nr. 1-2, date:9.2020: 97-115
Online Ressource
Artikel 100 Prediction of activity and specificity of CRISPR-Cpf1 using convolutional deep learning neural networks
Enthalten in BMC bioinformatics Bd. 20, 13.6.2019, Nr. 1, date:12.2019: 1-10
Online Ressource


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