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111 - 120 von 127

	111	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
	112	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
	113	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
	114	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
	115	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
	116	Neural networks and arbitrage in the VIX Enthalten in Digital finance Bd. 2, 13.8.2020, Nr. 1-2, date:9.2020: 97-115
	117	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
	118	Prediction of land use and land cover changes for upstream of the Adyar sub-basin, Tamil Nadu, South India, deep learning based on artificial neural networks Enthalten in GeoJournal Bd. 89, 8.3.2024, Nr. 2, date:4.2024: 1-16
	119	Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks Enthalten in Scientific reports Bd. 8, 19.9.2018, Nr. 1, date:12.2018: 1-11
	120	Public subsidies and innovation: a doubly robust machine learning approach leveraging deep neural networks Enthalten in Empirical economics Bd. 64, 11.5.2023, Nr. 6, date:6.2023: 3121-3165

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