Summary of Deep Learning in Earthquake Engineering: a Comprehensive Review, by Yazhou Xie
Deep Learning in Earthquake Engineering: A Comprehensive Reviewby Yazhou XieFirst submitted to arxiv on: 15…
Summary of Thermodynamic Limit in Learning Period Three, by Yuichiro Terasaki and Kohei Nakajima
Thermodynamic limit in learning period threeby Yuichiro Terasaki, Kohei NakajimaFirst submitted to arxiv on: 12…
Summary of Dgcformer: Deep Graph Clustering Transformer For Multivariate Time Series Forecasting, by Qinshuo Liu et al.
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecastingby Qinshuo Liu, Yanwen Fang, Pengtao…
Summary of Improving the Real-data Driven Network Evaluation Model For Digital Twin Networks, by Hyeju Shin et al.
Improving the Real-Data Driven Network Evaluation Model for Digital Twin Networksby Hyeju Shin, Ibrahim Aliyu,…
Summary of Modeling Of Time-varying Wireless Communication Channel with Fading and Shadowing, by Lee Youngmin et al.
Modeling of Time-varying Wireless Communication Channel with Fading and Shadowingby Lee Youngmin, Ma Xiaomin, Lang…
Summary of Evaluating the Explainable Ai Method Grad-cam For Breath Classification on Newborn Time Series Data, by Camelia Oprea et al.
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Databy Camelia…
Summary of Neural Network Compression For Reinforcement Learning Tasks, by Dmitry A. Ivanov et al.
Neural Network Compression for Reinforcement Learning Tasksby Dmitry A. Ivanov, Denis A. Larionov, Oleg V.…
Summary of Reducing Spatial Discretization Error on Coarse Cfd Simulations Using An Openfoam-embedded Deep Learning Framework, by Jesus Gonzalez-sieiro et al.
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Frameworkby Jesus…
Summary of Chebyshev Polynomial-based Kolmogorov-arnold Networks: An Efficient Architecture For Nonlinear Function Approximation, by Sidharth Ss et al.
Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximationby Sidharth SS, Keerthana AR,…
Summary of Adaptive Control Of Recurrent Neural Networks Using Conceptors, by Guillaume Pourcel et al.
Adaptive control of recurrent neural networks using conceptorsby Guillaume Pourcel, Mirko Goldmann, Ingo Fischer, Miguel…