Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks by Junyi Yang, Ruibin Mao, Mingrui Jiang, Yichuan Cheng, Pao-Sheng Vincent Sun, Shuai Dong, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Haoliang Li, Can Li, Arindam Basu

“…Abstract Analog In-memory Computing (IMC) has demonstrated energy-efficient and low latency implementation of convolution and fully-connected layers in deep neural networks (DNN) by using physics for computing in parallel resistive memory arrays. …”
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A numerical framework for simulating fluid-structure interaction phenomena by A. De Rosis, S. de Miranda, C. Burrafato, F. Ubertini

“…The lattice Boltzmann method is used to compute fluid dynamics, while the corotational finite element formulation together with the Time Discontinuous Galerkin method are adopted to predict structure dynamics. …”
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EFFICIENT MALICIOUS NODE DETECTION IN WIRELESS SENSOR NETWORKS USING RABIN-KARP ALGORITHM by T Devapriya, V Ganesan, S Velmurugan

“…Maintaining high detection accuracy while reducing computing overhead, false positives, and energy consumption is the goal of the approach to be designed. …”
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Extending FABRIK with Obstacle Avoidance for Solving the Inverse Kinematics Problem by Songqiao Tao, Huajin Tao, Yumeng Yang

“…Inverse kinematics (IK) has been extensively applied in the areas of robotics, computer animation, ergonomics, and gaming. Typically, IK determines the joint configurations of a robot model and achieves a desired end-effector position in robotics. …”
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Fuzzy Multicriteria Decision-Making for Ranking Intercrop in Rubber Plantations under Social, Economic, and Environmental Criteria by Jitsupa Muangman, Kittipong Krootsong, Phattamon Polrong, Weera Yukunthorn, Weerawat Udomsap

“…In addition to soft computing, data visualization and analysis of the possibility in each factors could be investigated. …”
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An Alternative Solution of Train-Track Dynamic Interaction by Zhaowei Chen, Hui Fang

“…On this basis, TTI is programmed and implemented on the computing platform of ANSYS by fully taking the nonlinear wheel-rail interaction into consideration. …”
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Formulations for Estimating Spatial Variations of Analysis Error Variance to Improve Multiscale and Multistep Variational Data Assimilation by Qin Xu, Li Wei

“…However, the analysis error variance computed from the previously developed spectral formulations is constant and thus limited to represent only the spatially averaged error variance. …”
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Effects of Re on Vacancy Mobility in a Ni-Re System: An Atomistic Study by Nuttapong La-ongtup, Suttipong Wannapaiboon, Piyanut Pinyou, Worawat Wattanathana, Yuranan Hanlumyuang

“…It was estimated that the computed diffusion rates are comparable to the reported rates. …”
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Goodness-of-Fit Test for the Bivariate Negative Binomial Distribution by Francisco Novoa-Muñoz, Juan Pablo Aguirre-González

“…For this reason, in this article, we propose and study a computationally convenient goodness-of-fit test for the bivariate negative binomial distribution. …”
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Pansharpening Techniques: Optimizing the Loss Function for Convolutional Neural Networks by Rocco Restaino

“…To mitigate computational challenges, an approximate version of the relevant indices was employed, simplifying the optimization of the cost functions. …”
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A Hybrid Genetic Algorithm with Tabu Search Using a Layered Process for High-Order QAM in MIMO Detection by Taehyoung Kim, Gyuyeol Kong

“…Especially, in the 1024-QAM MIMO system, the LHGA has less than 10% of computational complexity but a 6 dB signal-to-noise ratio (SNR) gain compared to the conventional GA-based MIMO detection scheme.…”
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Calculation Model for Multi-Roller Load Distribution of Planetary Threaded Roller Bearings Considering Machining Errors by Zhijie Xie, Mingyang Li, Yicheng Hou, Zhiwei Wang, Kailiang Zhang

“…The limited literature explores the influence of machining errors on PTRB’s load-bearing performance. A computational model that considers multiple machining errors when determining the load distribution among the rollers and the threaded teeth is proposed in this paper. …”
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On the Dynamical Complexity of a Seasonally Forced Discrete SIR Epidemic Model with a Constant Vaccination Strategy by Jalil Rashidinia, Mehri Sajjadian, Jorge Duarte, Cristina Januário, Nuno Martins

“…Starting with a constant contact (or transmission) rate, the computation of the spectrum of Lyapunov exponents allows us to identify different chaotic regimes. …”
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Detecting Community Structures in Networks by Label Propagation with Prediction of Percolation Transition by Aiping Zhang, Guang Ren, Yejin Lin, Baozhu Jia, Hui Cao, Jundong Zhang, Shubin Zhang

“…Moreover, LPAp with the incomplete update process can use less computation time than LPA, nearly without modularity loss.…”
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Evaluation of the Floor Acceleration Amplification Demand of Instrumented Buildings by Baofeng Huang, Wensheng Lu

“…The floor acceleration amplification (FAA) factor is one of the most critical parameters in computing the equivalent seismic force of nonstructural component (NC). …”
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Research on Collision Avoidance Methods for Unmanned Surface Vehicles Based on Boundary Potential Field by Yongzheng Li, Panpan Hou, Chen Cheng, Biwei Wang

“…By incorporating the boundary potential field method, this novel approach effectively reduces the computational burden caused by clusters of land obstacles in complex environments, significantly improving computational efficiency. …”
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Experiencing cardiac arrest during surgical exploration in hemodynamically stable patients with multiple stab wounds, including lower extremity in Korea: a case report by Jung Rae Cho, Dae Sung Ma

“…Subsequent lower extremity computed tomography angiography revealed no additional vascular abnormalities. …”
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Hybrid Dyakonov Surface Waves at Uniaxial Crystal-Temperature-Sensitive Material Interfaces by Tahseen Sana, Majeed A. S. Alkanhal, Ahtisham Ali, Hafeez Ullah, Abdul Ghaffar, Yasin Khan, Muhammad Zeshan Yaqoob

“…The contour plot technique has been implemented in Mathematica for the computation of dispersion relation. The influence of the temperature and propagation angle on the dispersion curve, effective mode index, phase speed, and propagation length was analyzed. …”
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Inferring causal protein signalling networks from single‐cell data based on parallel discrete artificial bee colony algorithm by Jinduo Liu, Jihao Zhai, Junzhong Ji

“…However, current BN methods may exhibit high computational complexity and ignore interactions among protein signalling molecules from different single cells. …”
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MDRN: Multi-distillation residual network for efficient MR image super-resolution by Liwei Deng, Jingyi Chen, Xin Yang, Sijuan Huang

“…However, current SR methods often use the complex convolutional network for feature extraction, which is difficult to train and not suitable for limited computation resources in the medical scenario. To tackle these bottlenecks, we propose a multi-distillation residual network (MDRN) for more differential feature refinement, which has a superior trade-off between reconstruction accuracy and computation cost. …”
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