A Comprehensive Method for Example-Based Color Transfer with Holistic–Local Balancing and Unit-Wise Riemannian Information Gradient Acceleration by Zeyu Wang, Jialun Zhou, Song Wang, Ning Wang

“…To address the high computational complexity inherent in complex statistical modeling, a parameter estimation method called the unit-wise Riemannian information gradient (uRIG) method is introduced. …”
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Blockchain sharding storage scheme based on concatenated coding by TIAN Youliang, HUANG Yuqing, WANG Shuai

“…Existing research has reduced the storage overhead of blockchain based on erasure coding theory, but it brings high computational and communication spending during the decoding and recovery of blocks. …”
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Intratumor heterogeneity: models of malignancy emergence and evolution by R. A. Ivanov, S. A. Lashin

“…In this paper, we set out to describe the current approaches to address this evolutionary complexity and theories of its occurrence.…”
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A measure of the difference between test sets for generating controlled random tests by V. N. Yarmolik, V. V. Petrovskaya, I. Mrozek

“…The main attention is paid to binary test sets, when the task of calculating given difference metric is reduced to the classical assignment problem using the Hungarian algorithm. The computational complexity of the Hungarian algorithm is estimated by the relation O(n4). …”
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Knowledge-Based Deep Learning for Time-Efficient Inverse Dynamics by Shuhao Ma, Yu Cao, Ian D. Robertson, Chaoyang Shi, Jindong Liu, Zhi-Qiang Zhang

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Dynamic analysis and comparison of the performance of linear and nonlinear controllers applied to a nonlinear non-interactive and interactive process by José M. Campos-Salazar, Pablo Lecaros, Rodrigo Sandoval-García

“…The LQR design employed optimal control theory, minimizing a quadratic cost function to derive the state feedback gain matrix, ensuring system stability by shifting the eigenvalues of the closed-loop system matrix into the left half of the complex plane. …”
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Graph theoretic visualization of patient and health worker messaging in the EHR by Muhammad Zia ul Haq, Andrew Hornback, Arash Harzand, David Andrew Gutman, Bradley Gallaher, Evan D. Schoenberg, Yuanda Zhu, May D. Wang, Blake Anderson, Blake Anderson

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ν-point energy correletors with FastEEC: Small-x physics from LHC jets by Ankita Budhraja, Hao Chen, Wouter J. Waalewijn

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TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I by Piyush M. Mehta, Richard J. Licata

“…Abstract Physics‐based models of the ionosphere‐thermosphere system have been touted as the next big thing in the context of drag modeling and space operations for decades. However, the computational complexity of such models have primarily kept them being used operationally. …”
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Deep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness by Chloé Gomez, Lynn Uhrig, Vincent Frouin, Edouard Duchesnay, Béchir Jarraya, Antoine Grigis

“…We demonstrated the model’s efficiency in summarizing consciousness-specific information encoded in key inter-areal connections, as described in the global neuronal workspace theory of consciousness. The proposed framework advocates the possibility of developing an interpretable computational brain model of interest for disorders of consciousness, paving the way for a dynamic diagnostic support tool.…”
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Energy Efficiency Maximization for Device-to-Device Communication Underlaying Cellular Networks on Multiple Bands by Yuan Zhang, Yang Yang, Linglong Dai

“…Our theoretical analysis shows that the computational complexity of the proposed algorithm is significantly lower than that of the conventional branch and bound algorithm. …”
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Mechanism of magnetic phase transition in correlated magnetic metal: insight into itinerant ferromagnet Fe3−δ GeTe2 by Yuanji Xu, Yue-Chao Wang, Xintao Jin, Haifeng Liu, Yu Liu, Haifeng Song, Fuyang Tian

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The Principle of Mathematical Induction: Applications in Physical Optics by Joseph Ivin Thomas

“…In theoretical computer science, it bears the pivotal role of developing the appropriate cognitive skills necessary for the effective design and implementation of algorithms, assessing for both their correctness and complexity. …”
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A Novel Graph Reinforcement Learning-Based Approach for Dynamic Reconfiguration of Active Distribution Networks with Integrated Renewable Energy by Hua Zhan, Changxu Jiang, Zhen Lin

“…Secondly, a loop-based encoding method is employed to reduce the action space and complexity of the ADNDR. Then, based on graph theory, the DN structure is transformed into a dynamic network graph model, and a GCNDDPG-based ADNDR approach is proposed for the solution. …”
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Rate distortion optimization for adaptive gradient quantization in federated learning by Guojun Chen, Kaixuan Xie, Wenqiang Luo, Yinfei Xu, Lun Xin, Tiecheng Song, Jing Hu

“…To further reduce the computational complexity, we introduce the Kalman filter into the proposed approach. …”
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First-principles thermodynamic modeling for the Al-Nb-Ni ternary system by Arkapol Saengdeejing, Ryoji Sahara, Yoshiaki Toda

“…In CALPHAD methodology, used for thermodynamic database construction, the first-principles calculations based on the density functional theory have increasingly become important tool to provide an input data for assessing the thermodynamic database. …”
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Some Aspects of Sensitivity Analysis in Variational Data Assimilation for Coupled Dynamical Systems by Sergei Soldatenko, Peter Steinle, Chris Tingwell, Denis Chichkine

“…However, the exploration of VDA requires considerable computational resources. For simple enough low-order models, the computational cost is minor and therefore models of this class are used as simple test instruments to emulate more complex systems. …”
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The Representative Points of Generalized Alpha Skew-<i>t</i> Distribution and Applications by Yong-Feng Zhou, Yu-Xuan Lin, Kai-Tai Fang, Hong Yin

“…This paper studies some properties of the GAST distribution, including the calculation of the moments, and the relationship between the number of peaks and the GAST parameters with some proofs. For complex probability distributions, representative points (RPs) are useful due to the convenience of manipulation, computation and analysis. …”
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Distributed dynamic scheduling algorithm of target coverage for wireless sensor networks with hybrid energy harvesting system by Xuecai Bao, Yanlong Jiang, Longzhe Han, Xiaohua Xu, Hongbo Zhu

“…Furthermore, our algorithm adapts effectively to dynamic changes in hybrid harvested energy and exhibits lower computational complexity compared to existing target coverage algorithms.…”
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Multi-port network based modeling and selection of capacitor for desired voltage regulation of a standalone six-phase short-shunt induction generator for application in remote area... by Saikat Ghosh, S.N. Mahato

“…In this envisioned study, the value of the capacitor is meticulously chosen to optimize the number of capacitor switching, ensuring minimal system cost and complexity. The theory of multi-port network analysis has been applied for modelling of the SPIG, thus, the complex mathematical derivation to obtain the model equations is avoided. …”
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