Entangling gates from cabling of knots by Sergey Mironov, Andrey Morozov

“…In this paper we discuss how to construct an efficient realization of a two qubit gate in topological quantum computer, by using principle of cabling from the knot theory. …”
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An Energy-Efficient and Fault-Tolerant Convergecast Protocol in Wireless Sensor Networks by Ting Yang, ChunJian Kang, Guofang Nan

“…An inherent problem of small-granularity algorithms is the high computing complexity and large solution space when managing large-scale WSNs. …”
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DLTM: a deep learning method for tearing mode simulation and prediction by Zhipeng Chang, Baofeng Gao, Ruijie Yin, Xiaofei Zhao

“…Traditional research methods, mainly relying on theories, numerical simulations or experiments, face challenges due to the enormous data, complexity of experiments and high computational costs. …”
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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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Energy Efficiency Oriented Access Point Selection for Cognitive Sensors in Internet of Things by ChunHua Ju, Qi Shao

“…The desired approach is the one with lower computation complexity and much more flexibility, and the global optimization is also expected. …”
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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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Advances in photoelectrochemical glucose sensors: A critical review by Oluwaseun Adepoju, Mahabubur Chowdhury, Tunde V. Ojumu

“…It also explores the growing role of density functional theory (DFT)-based computational simulations and machine learning (ML) models in predicting, optimizing, screening, and understanding sensor performance. …”
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Study on influence of dense medium on impact pressure of detonation waves subjected to contact blasts by MENG Yuanpei, MA Yue, HE Yuan, GUO Lei, LING Qi, ZHOU Jie, WANG Chuanting, HE Yong

“…Moreover, since obtaining the zero-pressure sound impedance is much easier than that by using the Hugoniot relation, the present model greatly simplifies the computational complexity and provides the useful references for predicting the pressure values incident on novel dense medium.…”
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NSMO-Based Adaptive Finite-Time Command-Filtered Backstepping Speed Controller for New Energy Hybrid Ship PMSM Propulsion System by Dan Zhang, Suijun Xiao, Hongfen Bai, Diju Gao, Baonan Wang

“…The proposed controller is a significant advancement in the field, addressing the computational complexity of backstepping control and reducing the maximum steady-state error of the control output. …”
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Predicting local chemical order of NbTaTiHf medium-entropy alloys by cluster expansion method by Jing Zhang, Hao Xia, Zi-Yao Ma, Zhen-Dong Sha

“…Although local chemical order (LCO) in high- and medium-entropy alloys plays a crucial role in determining their physical properties, the direct experimental characterization remains challenging due to compositional complexity. In this work, we investigate the LCO behavior of equimolar NbTaTiHf medium-entropy alloys using an efficient computational framework combining density functional theory (DFT), cluster expansion (CE), and Monte Carlo (MC) simulations. …”
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An Advanced Method for Precise ULA SIMO Radar Calibration Utilizing Synthetic Aperture Radar Imaging Artifacts by Michael Braunwarth, Johanna Geiss, Erik Sippel, Martin Vossiek

“…The applied optimization minimizes only at deterministic artifact locations, which enhances the optimization sensitivity and improves calibration precision, while reducing the computational complexity. The proposed approach demonstrates high performance by calibrating an antenna array with eight elements in a 77 GHz frequency-modulated continuous wave SIMO radar. …”
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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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Wireless Protocol-Based Control of Smart Electric Drive Using Sampled Time Secure Communication of Chaotic Systems by Nhat Quang Dang, Huyen Chau Phan Thi, Quang Dich Nguyen, van Nam Giap

“…To ensure secure transmissions, a chaos-based encryption scheme is implemented using the Liu chaotic system, formulated in the Takagi-Sugeno fuzzy (TS fuzzy) model to simplify computational complexity in synchronization control. …”
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Optimized Subset Selection for Matrices and its Application in Hyperspectral Band Selection by Songyi Xiao, Liangliang Zhu, Xinwen Zhu, Xiurui Geng

“…To address bias in the volume criterion and reduce algorithmic complexity, we integrate a general subspace partitioning framework that accounts for spectral information. …”
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HOPCA by Cemre Çubukçuoğlu

“…Effectively, this project presents an interdisciplinary methodological framework that can tackle hospital layout design problems by integrating Computational Design workflows, Graph Theory techniques, Operations Research, and Computational Intelligence into the field of Architectural Space Planning.  …”
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Model Selection Methods for Model-Bridge Simulation Calibration by Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki

“…Computer simulations are ubiquitous in many scientific communities analyzing complex phenomena, such as physics, material science, medicine, and others. …”
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Improved Quantum Query Upper Bounds Based on Classical Decision Trees by Arjan Cornelissen, Nikhil S. Mande, Subhasree Patro

“…Comp.'89] in the context of learning theory. This answers a question posed by Lin and Lin, who asked whether the guessing complexity of a decision tree is related to any complexity-theoretic measure. …”
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Innovative assessment scheme of navigation risk based on improved multi-source information fusion techniques by Bo Li, Fuwen Pang

“…The slack variable is adaptively computed based on the Euclidean distance ratio. Considering the unsatisfactory characteristics of the standard Dempster–Shafer evidence theory, the optimal combination rule is derived step by step. …”
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Multi-threshold algorithm about image segmentation based on polynomial uniform approximation by Yan-jun WEI, Bo-qin FENG, Wei-guo WU

“…Aiming at those shortcomings of previous multi-threshold image segmentation algorithm such as large complexity and instability caused by the image histogram glitch interference,a new multi-threshold image segmentation algorithm was proposed using Bernstein polynomial to uniformly approximate histogram curve.First,according to the approximation theory of Weierstrass to construct Bernstein polynomial for the histogram curve,then more difficult peak value calculating of the histogram was reduced to the Bernstein polynomial extremal generating,that was exported easily by the first and second derivative of Bernstein polynomial function,and finally obtain the actual peak value of the image histogram by picking up these extremes and polar values and filtering through classification algorithm,and finish multi-threshold image segmentation.Experimental results show that the algorithm is insensitive for histogram glitch interference,the overall is stable,the redundant computation and time complexity are smaller,with less time and high efficiency,the approximate performance and segmentation effect are better.…”
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New energy effect in non-cylindrical domains with a thermally insulated moving boundary by E. M. Kartashov

“…To develop mathematical model representations of the energy effect in non-cylindrical domains having a thermally insulated moving boundary; to introduce a new boundary condition for thermal insulation of a moving boundary both for locally equilibrium heat transfer processes in the framework of classical Fourier phenomenology, as well as for more complex locally non-equilibrium processes in the framework of Maxwell–Cattaneo–Lykov–Vernott phenomenology, taking into account the finite rate of heat propagation into analytical thermophysics and applied thermomechanics; to consider an applied problem of analytical thermophysics according to the theory of thermal shock for a domain with a moving thermally insulated boundary free from external and internal influences; to obtain an exact analytical solution of the formulated mathematical models for hyperbolic type equations; to investigate the solutions obtained using a computational experiment at various values of the parameters included in it; to describe the wave nature of the kinetics of the processes under consideration.Methods. …”
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