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Publication search results
found 72 matches
- 2024
- Bingtao Zhang, Chonghui Wang, Guanghui Yan, Yun Su, Tao Lei, Hanshu Cai:
Functional brain network based on improved ensemble empirical mode decomposition of EEG for anxiety analysis and detection. Biomed. Signal Process. Control. 91: 106030 (2024) - Lin Xiao, Sida Xiao, Yongjun He, Jianhua Dai, Yaonan Wang, Yiwei Li:
Comprehensive Study on Zeroing Neural Network With High-Order Evolutionary Formula, Nonlinear Functions, and Variable Parameter for Time-Changing Matrix Cholesky Decomposition. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3642-3651 (2024) - Esraa Al-Sharoa, Mohammad A. Al-Wardat, Selin Aviyente:
Structured Robust Tensor Decomposition for Multilayer Community Detection: Application to Functional Connectivity Networks. EUSIPCO 2024: 1342-1346 - Xiaoyan Su, Yinghao Zhu, Run Li:
Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition. CoRR abs/2405.03712 (2024) - Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim Denzler:
Functional Tensor Decompositions for Physics-Informed Neural Networks. CoRR abs/2408.13101 (2024) - 2023
- Pedro M. N. Sequeira, João P. Hespanha, A. Pedro Aguiar:
Decomposition of Admissible Functions in Weighted Coupled Cell Networks. SIAM J. Appl. Dyn. Syst. 22(2): 1114-1152 (2023) - Azadeh Azhdari, Amin Ebrahimzadeh, Seyedeh Negar Afrasiabi, Róbert Szabó, Carla Mouradian, Wubin Li, Roch H. Glitho:
Cost-Aware Topological Decomposition of Virtual Network Function Forwarding Graphs. GLOBECOM 2023: 5384-5390 - Md Asadullah Turja, Martin Styner, Guorong Wu:
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. MICCAI (8) 2023: 358-368 - Md Asadullah Turja, Martin Styner, Guorong Wu:
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. CoRR abs/2306.03088 (2023) - Wen-Liang Hwang:
Representation and decomposition of functions in DAG-DNNs and structural network pruning. CoRR abs/2306.09707 (2023) - 2022
- Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu:
Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. MLMI@MICCAI 2022: 279-287 - Pedro M. N. Sequeira, João P. Hespanha, A. Pedro Aguiar:
Decomposition of admissible functions in weighted coupled cell networks. CoRR abs/2201.04972 (2022) - 2021
- Ivana Ljubic, Ahlam Mouaci, Nancy Perrot, Éric Gourdin:
Benders decomposition for a node-capacitated Virtual Network Function placement and routing problem. Comput. Oper. Res. 130: 105227 (2021) - Saumendra Kumar Mohapatra, Mihir Narayan Mohanty:
Arrhythmia Classification Using Radial Basis Function Network With Selective Features From Empirical Mode Decomposition. Int. J. Cogn. Informatics Nat. Intell. 15(1): 39-53 (2021) - Qing Li, Xia Wu, Tianming Liu:
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition. Medical Image Anal. 69: 101974 (2021) - Daniele Moro, Giacomo Verticale, Antonio Capone:
Network Function Decomposition and Offloading on Heterogeneous Networks With Programmable Data Planes. IEEE Open J. Commun. Soc. 2: 1874-1885 (2021) - Farbod Shahinfar, Sebastiano Miano, Alireza Sanaee, Giuseppe Siracusano, Roberto Bifulco, Gianni Antichi:
The case for network functions decomposition. CoNEXT 2021: 475-476 - Shanay Behrad, David Espes, Philippe Bertin, Cao-Thanh Phan:
Impacts of Service Decomposition Models on Security Attributes: A Case Study with 5G Network Repository Function. NetSoft 2021: 470-476 - Christopher W. Curtis, Mason A. Porter:
Detection of Functional Communities in Networks of Randomly Coupled Oscillators Using the Dynamic-Mode Decomposition. CoRR abs/2103.14763 (2021) - 2020
- Wesley da Silva Coelho, Amal Benhamiche, Nancy Perrot, Stefano Secci:
Network Function Mapping: From 3G Entities to 5G Service-Based Functions Decomposition. IEEE Commun. Stand. Mag. 4(3): 46-52 (2020) - Xin Zhang, Ke-Jing Du, Zhi-Hui Zhan, Sam Kwong, Tianlong Gu, Jun Zhang:
Cooperative Coevolutionary Bare-Bones Particle Swarm Optimization With Function Independent Decomposition for Large-Scale Supply Chain Network Design With Uncertainties. IEEE Trans. Cybern. 50(10): 4454-4468 (2020) - Gaëtan Frusque, Julien Jung, Pierre Borgnat, Paulo Gonçalves:
Multiplex Network Inference With Sparse Tensor Decomposition for Functional Connectivity. IEEE Trans. Signal Inf. Process. over Networks 6: 316-328 (2020) - Ye Yu, Xiangyuan Bu, Kai Yang, Hung Khanh Nguyen, Zhu Han:
Network Function Virtualization Resource Allocation Based on Joint Benders Decomposition and ADMM. IEEE Trans. Veh. Technol. 69(2): 1706-1718 (2020) - Daniele Moro, Giacomo Verticale, Antonio Capone:
A Framework for Network Function Decomposition and Deployment. DRCN 2020: 1-6 - 2019
- Ranjeeta Bisoi, P. K. Dash, S. Mishra:
Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting. Appl. Soft Comput. 80: 475-493 (2019) - Mrutyunjaya Sahani, P. K. Dash:
Fault location estimation for series-compensated double-circuit transmission line using parameter optimized variational mode decomposition and weighted P-norm random vector functional link network. Appl. Soft Comput. 85 (2019) - Takahiro Yamasaki, Akiyoshi Kuroda, Toshihiro Kato, Jun Nara, Junichiro Koga, Tsuyoshi Uda, Kazuo Minami, Takahisa Ohno:
Multi-axis decomposition of density functional program for strong scaling up to 82, 944 nodes on the K computer: Compactly folded 3D-FFT communicators in the 6D torus network. Comput. Phys. Commun. 244: 264-276 (2019) - Tatiana Chakravorti, Lipsa Priyadarshini, P. K. Dash, Badri Narayan Sahu:
Islanding and non-islanding disturbance detection in microgrid using optimized modes decomposition based robust random vector functional link network. Eng. Appl. Artif. Intell. 85: 122-136 (2019) - Basheer Raddwan, Khalil AL-Wagih, Ibrahim A. Al-Baltah, Mohamed A. Alrshah, Mohammed A. Al-Maqri:
Path Mapping Approach for Network Function Virtualization Resource Allocation with Network Function Decomposition Support. Symmetry 11(9): 1173 (2019) - 2018
- Linchao Li, Xu Qu, Jian Zhang, Hanchu Li, Bin Ran:
Travel time prediction for highway network based on the ensemble empirical mode decomposition and random vector functional link network. Appl. Soft Comput. 73: 921-932 (2018)
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