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Publication search results
found 178 matches
- 2024
- Won Gyun Choi, Seunghee Ryu, Paul H. Jung, Seungmo Kang:
Differential Dynamics of Transit Use Resilience During the COVID-19 Pandemic Using Multivariate Two-Dimensional Functional Data Analysis. IEEE Access 12: 8721-8743 (2024) - Yimin Ren, Xiaojiao Deng, Zhengyang You, Xiaoping Zheng:
1-D multi-channel CNN with transfer functions for inverse electromagnetic behaviors modeling and design optimization of high-dimensional filters. Appl. Intell. 54(1): 503-521 (2024) - Yanlai Song:
An efficient radial basis function generated finite difference meshfree scheme to price multi-dimensional PDEs in financial options. J. Comput. Appl. Math. 436: 115382 (2024) - Yanfei Wu, Liang Liang, Yunjian Jia, Wanli Wen, Zhengchuan Chen:
Slicing Enabled Flexible Functional Split and Multi-Dimensional Resource Provisioning in 5G-and-Beyond RAN. IEEE Trans. Wirel. Commun. 23(2): 1213-1227 (2024) - 2023
- A. N. Arun, P. Maheswaravenkatesh, T. Jayasankar:
Facial Emotion Recognition Using Swarm Optimized Multi-Dimensional DeepNets with Losses Calculated by Cross Entropy Function. Comput. Syst. Sci. Eng. 46(3): 3285-3301 (2023) - Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner:
Multi-dimensional summation-by-parts operators for general function spaces: Theory and construction. J. Comput. Phys. 491: 112370 (2023) - Coralia Cartis, Estelle M. Massart, Adilet Otemissov:
Bound-constrained global optimization of functions with low effective dimensionality using multiple random embeddings. Math. Program. 198(1): 997-1058 (2023) - Himanshu Gupta, Himanshu Singh, Anil Kumar, Amit Vishwakarma:
Adaptive conductance function based improved diffusion filtering and bi-dimensional empirical mode decomposition based image denoising. Multidimens. Syst. Signal Process. 34(1): 81-125 (2023) - Xin Shen, Xudong Sun, Huibing Wang, Xianping Fu:
Multi-dimensional, multi-functional and multi-level attention in YOLO for underwater object detection. Neural Comput. Appl. 35(27): 19935-19960 (2023) - Gagan Somashekar, Mohammad Delasay, Anshul Gandhi:
Efficient and accurate Lyapunov function-based truncation technique for multi-dimensional Markov chains with applications to discriminatory processor sharing and priority queues. Perform. Evaluation 162: 102356 (2023) - Xiaoyue Li, Xiangnan Liu, Bowen Hou, Lingwen Tian, Qin Yang, Lihong Zhu, Yuanyuan Meng:
Multi-Dimensional Evaluation of Ecosystem Health in China's Loess Plateau Based on Function-Oriented Metrics and BFAST Algorithm. Remote. Sens. 15(2): 383 (2023) - Il-Suk Kang, Hosik Choi, Young Joo Yoon, Junyoung Park, Soon-Sun Kwon, Cheolwoo Park:
Fréchet distance-based cluster analysis for multi-dimensional functional data. Stat. Comput. 33(4): 75 (2023) - Gamal Sallam, Zizhan Zheng, Bo Ji:
Placement and Allocation of Virtual Network Functions: Multi-Dimensional Case. IEEE Trans. Mob. Comput. 22(7): 4195-4211 (2023) - Chunhong Zhao, Yige Wang, Changyu Gong, Yang Gao:
Multi-dimensional perception of urban environment and their relationship with urban functional characteristics. Geoinformatics 2023: 1-6 - Lu Zhang, Chao Li, Xinkai Wang, Weiqi Feng, Zheng Yu, Quan Chen, Jingwen Leng, Minyi Guo, Pu Yang, Shang Yue:
FIRST: Exploiting the Multi-Dimensional Attributes of Functions for Power-Aware Serverless Computing. IPDPS 2023: 864-874 - Mohamed Karim Belaid, Richard Bornemann, Maximilian Rabus, Ralf Krestel, Eyke Hüllermeier:
Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark. xAI (2) 2023: 88-109 - Nam G. Luu, Thanh T. Banh:
Static, dynamic and stability analysis of multi-dimensional functional graded plate with variable thickness using deep neural network. CoRR abs/2301.05900 (2023) - Jan Glaubitz, Simon-Christian Klein, Jan Nordström, Philipp Öffner:
Multi-dimensional summation-by-parts operators for general function spaces: Theory and construction. CoRR abs/2301.12996 (2023) - Victor Rielly, Kamel Lahouel, Ethan Lew, Michael Wells, Vicky Haney, Bruno Jedynak:
Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. CoRR abs/2306.10189 (2023) - 2022
- Saleh Darzi, Bahareh Akhbari, Hassan Khodaiemehr:
LPM2DA: a lattice-based privacy-preserving multi-functional and multi-dimensional data aggregation scheme for smart grid. Clust. Comput. 25(1): 263-278 (2022) - T. S. Moretlo, Abdullahi Rashid Adem, Ben Muatjetjeja:
A generalized (1+2)-dimensional Bogoyavlenskii-Kadomtsev-Petviashvili (BKP) equation: Multiple exp-function algorithm; conservation laws; similarity solutions. Commun. Nonlinear Sci. Numer. Simul. 106: 106072 (2022) - Ömer Oruç:
A strong-form local meshless approach based on radial basis function-finite difference (RBF-FD) method for solving multi-dimensional coupled damped Schrödinger system appearing in Bose-Einstein condensates. Commun. Nonlinear Sci. Numer. Simul. 104: 106042 (2022) - Alex Kodess, Brian G. Kronenthal, Tony W. H. Wong:
On the Girth of Three-Dimensional Algebraically Defined Graphs with Multiplicatively Separable Functions. Electron. J. Comb. 29(4) (2022) - Owen Ren, Mohamed Ali Boussaidi, Dmitry A. Voytsekhovsky, Manabu Ihara, Sergei Manzhos:
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method. Comput. Phys. Commun. 271: 108220 (2022) - Dalila Takouk, Rebiha Zeghdane, Belkacem Lakehali:
A new approach based on generalised multiquadric and compactly supported radial basis functions for solving two-dimensional Volterra-Fredholm integral equations. Int. J. Comput. Sci. Eng. 25(5): 532-547 (2022) - Daniel Potts, Michael Schmischke:
Learning multivariate functions with low-dimensional structures using polynomial bases. J. Comput. Appl. Math. 403: 113821 (2022) - Xiaochen Zhang, Qingzhao Zhang, Shuangge Ma, Kuangnan Fang:
Subgroup analysis for high-dimensional functional regression. J. Multivar. Anal. 192: 105100 (2022) - Sergei Manzhos, Eita Sasaki, Manabu Ihara:
Easy representation of multivariate functions with low-dimensional terms via Gaussian process regression kernel design: applications to machine learning of potential energy surfaces and kinetic energy densities from sparse data. Mach. Learn. Sci. Technol. 3(1): 01 (2022) - Monica Billio, Lorenzo Frattarolo, Dominique Guégan:
High-Dimensional Radial Symmetry of Copula Functions: Multiplier Bootstrap vs. Randomization. Symmetry 14(1): 97 (2022) - Fei Li, Wentai Guo, Xiaotong Deng, Jiamei Wang, Liangquan Ge, Xiaotong Guan:
A Hybrid Shuffled Frog Leaping Algorithm and Its Performance Assessment in Multi-Dimensional Symmetric Function. Symmetry 14(1): 131 (2022)
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