Results 1 to 10 of about 35,156 (275)
Simple But Effective GRU Variants [PDF]
2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2021 Recurrent Neural Network (RNN) is a widely used deep learning architecture applied to sequence learning problems. However, it is recognized that RNNs suffer from exploding and vanishing gradient problems that prohibit the early layers of the network from learning the gradient information.
Gülsüm Yigit, Mehmet Fatih Amasyali
openaire +4 more sources
GRU-MMatten-LGB prediction results. [PDF]
, 2023 GRU-MMatten-LGB prediction results.
Shaokun Liang (14439551) +4 more
core +1 more source
GRU-MMattention-LightGBM model prediction process. [PDF]
, 2023 GRU-MMattention-LightGBM model prediction process.
Shaokun Liang (14439551) +4 more
core +1 more source
Real-time use of the iPad by third-year medical students for clinical decision support and learning: a mixed methods study [PDF]
Journal of Community Hospital Internal Medicine Perspectives, 2014 Purpose: Despite widespread use of mobile technology in medical education, medical students’ use of mobile technology for clinical decision support and learning is not well understood.
Michelle A. Nuss +4 more
doaj +1 more source
Advances in Distributed Computing and Artificial Intelligence Journal, 2021 Domain Name System (DNS) is a protocol for converting numeric IP addresses of websites into a human-readable form. With the development of technology, to transfer information, a method like DNS tunneling is used which includes data encryption into DNS ...
Dr. Gopal Sakarkar +6 more
doaj +1 more source
Enhancing Privacy-Preserving Intrusion Detection in Blockchain-Based Networks with Deep Learning
Data Science Journal, 2023 Data transfer in sensitive industries such as healthcare presents significant challenges due to privacy issues, which makes it difficult to collaborate and use machine learning effectively. These issues are explored in this study by looking at how hybrid
Junzhou Li, Qianhui Sun, Feixian Sun
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Simulated annealing algorithm optimized GRU neural network for urban rainfall-inundation prediction
Journal of Hydroinformatics, 2023 In the context of global climate change and the continuous development of urban areas, rainfall-inundation modeling is a common approach that provides critical support for the protection and early warning of urban waterlogging protection.
Ying Yan +3 more
doaj +1 more source