Search Results - computational complexity theory

Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…The proposed model demonstrated several advantages over conventional approaches: 1) Enhanced accuracy and relevance: The model ensured highly accurate and practically applicable results by carefully defining fitting parameters and incorporating engineering constraints. 2) Robust theoretical foundation: It was grounded in established mathematical theory and principles of fluid mechanics. 3) Practicality and efficiency: The model featured low implementation costs and high computational efficiency, presenting a viable and promising alternative for field evaluations. …”
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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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Fault Isolation in Network of State Automates by I. V. Bystrova, B. P. Podkopaev

“…To develop functional diagnostics method based on theoretical analysis allowing to decide fault isolation problem in networks of state automation and to reduce computational complexity and hardware redundancy.Materials and methods. …”
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The Bregman Modified Second APG Method for DC Optimization Problems by Lumiao Wang, Ziye Liu, Chunguang Liu

“…The results confirm that BAPGs effectively balances computational efficiency with relaxed smoothness requirements.…”
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Group Stable Matching Problem in Freight Pooling Service of Vehicle–Cargo Matching Platform by Linlin Kong, Min Huang

“…Based on the characteristics of the problem, the algorithm is improved by removing ineffective constraints and only using key constraints, significantly reducing computational complexity, optimizing the solving process, and greatly improving the model’s solution efficiency. …”
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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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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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Backfire Effect Reveals Early Controversy in Online Media by Songtao Peng, Tao Jin, Kailun Zhu, Qi Xuan, Yong Min

“…Therefore, controversy detection becomes important for computational and social sciences. Previous research on detection methods has primarily focused on larger datasets and more complex computational models but has rarely examined the underlying mechanisms of conflict, particularly the psychological motivations behind them. …”
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Experimental and theoretical insights into the stability and reactivity of Isatin-derived Schiff bases by C. Raksha, N. Ansiya, Jayasree Elambalassery, Akhil Sivan

“…The initial phase of computational evaluation focused on Fe-complexes (ISSB1-Fe and ISSB2-Fe) and hetero-spirocyclic derivatives (ISSB1-SP and ISSB2-SP), offering deeper insights into their reactivity and potential applications.…”
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OPTIMIZATION OF TRANSPORTATION ROUTES IN A CLOSED LOGISTICS SYSTEM by Vladimir Beskorovainyi, Olexij Kuropatenko, Denys Gobov

“…The obtained estimates of the time complexity of the optimization methods will make it possible to predict the costs of computing and time resources in their practical use for solving optimization problems of closed-loop logistics networks.…”
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Benchmarking quantum chemical methods with X-ray structures via structure-specific restraints by Birger Dittrich, Rok Breznikar, Gianluca Santarossa, Pamela Whitfield, Henrik Moebitz

“…Overall, MIC computations are an accurate and computationally efficient tool for solid-state structure optimization that can match FP computations to augment experimental structures.…”
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Efficient Recognition of the Propagated Orbital Angular Momentum Modes in Turbulences With the Convolutional Neural Network by Zikun Wang, Maxime Irene Dedo, Kai Guo, Keya Zhou, Fei Shen, Yongxuan Sun, Shutian Liu, Zhongyi Guo

“…In this paper, based on the CNN theory, we make a tradeoff between the computational complexity of the system and the efficiency of recognition by establishing a specially designed six-layer CNN structure in CPU station to efficiently achieve the recognition of OAM mode in turbulent environment through the feature extraction of the received Laguerre–Gaussian beam's intensity distributions. …”
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A Method of Spatial Processing for a Railway Crossing Control Radar System by A. A. Kuzin, A. V. Miakinkov, K. S. Fomina, S. A. Shabalin

“…A method for constructing a filled transceiver antenna array and a beamforming algorithm, which provide high angular resolution and unambiguous measurement of the target's angular coordinates in a wide field of view with relatively low computational complexity, was developed. Mathematical and electrodynamic modeling of the designed AA topologies was performed. …”
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FORMAL REPRESENTATION OF THE PIXEL-BY-PIXEL CLASSIFICATION PROCESS USING A MODIFIED WANG-MENDEL NEURAL NETWORK by Oleksii Kolomiitsev, Volodymyr Pustovarov

“…The proposed IFST2, on the one hand, provide a formalization of more additional degrees of uncertainty compared to FST1, on the other hand, are "implemented" in the development of fuzzy systems (models) and have less computational complexity, compared to fuzzy sets of the second type (FST2).…”
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Cascade Nonlinear Observer-Based Speed-Sensorless Adaptive Twisting Sliding Mode Control of Linear Induction Motor by Lei Zhang, Xiaodong Xie, Dabiao Wu, Zicheng Wang, Jianli Wang, Jiaxin Jing, Huazhen Deng, Junkai Li, Jie Huang, Jingli Huang

“…The stability of the proposed cascade observer is analyzed using Lyapunov theory, ensuring the convergence of the estimation errors under bounded disturbances. …”
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Ordered embeddings and intrinsic dimensionalities with information-ordered bottlenecks by Matthew Ho, Xiaosheng Zhao, Benjamin D Wandelt

“…Moreover, we introduce a novel theory for estimating global intrinsic dimensionality with IOBs and show that they recover SOTA dimensionality estimates for complex synthetic data. …”
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NEW ORGANIZATION PROCESS OF FEATURE SELECTION BY FILTER WITH CORRELATION-BASED FEATURES SELECTION METHOD by Olga Solovei

“…A new organization process for feature selection which is proposed in current work combines filter and learning algorithm properties in evaluation strategy which helps to choose the optimal feature subset for predefined learning algorithm. The computation complexity of the proposed approach to feature selection doesn’t depend on dataset’s dimensions which makes it robust to different data varieties; it eliminates the time needed for feature subsets’ search as subsets are selected randomly. …”
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Optimization of Short-Lag Spatial Coherence Imaging Method by Jakub DOMARADZKI, Marcin LEWANDOWSKI, Norbert ŻOŁEK, Marcin LEWANDOWSKI

“…The computing performance optimization of the Short-Lag Spatial Coherence (SLSC) method applied to ultrasound data processing is presented. …”
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Valorization of a Natural Compound Library in Exploring Potential Marburg Virus VP35 Cofactor Inhibitors via an In Silico Drug Discovery Strategy by Mohamed Mouadh Messaoui, Mebarka Ouassaf, Nada Anede, Kannan R. R. Rengasamy, Shafi Ullah Khan, Bader Y. Alhatlani

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Graph-aware isomorphic attention for adaptive dynamics in transformers by Markus J. Buehler

“…Building on the inherent connection between attention and graph theory, we reformulate the transformer’s attention mechanism as a graph operation and propose graph-aware isomorphic attention. …”
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