Fracture identification and 3D reconstruction of coal-rock combinations based on VRA-UNet network by Dengke WANG, Longhang WANG, Yaguang QIN, Le WEI, Tanggen CAO, Wenrui LI, Lu LI, Xu CHEN, Yuling XIA

“…Finally, an asymmetric atrous pyramid module (AC-ASPP) utilizing convolution kernels of different scales is added at the end of the downsampling, which reduced the computational complexity and improved the computational efficiency of the model while keeping the receptive field unchanged. …”
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Viscous-Inviscid Coupling Methods for Advanced Marine Propeller Applications by Martin Greve, Katja Wöckner-Kluwe, Moustafa Abdel-Maksoud, Thomas Rung

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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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SIR Coverage Analysis in Multi-Cell Downlink Systems With Spatially Correlated Queues by Xiaozhou Zhang, Howard H. Yang, Xiaofang Sun, Gang Zhu, Tony Q. S. Quek, Zhangdui Zhong

“…An iterative algorithm is proposed to calculate the active probability of the BSs. To reduce the computational complexity, Beta distribution is applied to approximate the probability density function of the service rate in each iteration of the algorithm. …”
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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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Controlled random tests with limited Hamming distance by V. N. Yarmolik, V. V. Petrovskaya, D. V. Demenkovets, V. A. Levantsevich

“…With an increase in the threshold values of the difference measures of binary test patterns, the computational complexity of constructing such tests increases. …”
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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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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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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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Towards the Optimization of Apodized Resonators by Ana Valenzuela-Pérez, Carlos Collado, Jordi Mateu

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A Comprehensive Model and Numerical Study of Shear Flow in Compressible Viscous Micropolar Real Gases by Nelida Črnjarić, Ivan Dražić

“…However, the finite-difference method offers advantages in speed, stability, and lower computational demands. This research bridges gaps in existing models and establishes a foundation for further investigations into complex flow phenomena in micropolar real gases.…”
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SHAP Informed Neural Network by Jarrod Graham, Victor S. Sheng

“…This study highlights the potential of SHAP-informed methods to guide optimization processes through feature-level insights, offering advantages in data with complex feature interactions. Despite computational challenges, these methods provide a foundation for exploring how feature importance can inform neural network training, presenting promising directions for future research on scalable and efficient optimization techniques.…”
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Improved quantum algorithm for calculating eigenvalues of differential operators and its application to estimating the decay rate of the perturbation distribution tail in stochasti... by Koichi Miyamoto, Yuichiro Tada

“…In this paper, we propose a quantum algorithm for estimating the first eigenvalue of a differential operator L on R^{d} and its application to cosmic inflation theory. A common approach for this eigenvalue problem involves applying the finite-difference discretization to L and computing the eigenvalues of the resulting matrix, but this method suffers from the curse of dimensionality, namely, the exponential complexity with respect to d. …”
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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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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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