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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
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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
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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
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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
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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
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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
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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
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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
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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
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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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