MRD: A Linear-Complexity Encoder for Real-Time Vehicle Detection by Kaijie Li, Xiaoci Huang

“…To address these limitations, this study introduces Mamba RT-DETR (MRD), an optimized architecture featuring three principal innovations: (1) We devise an efficient vehicle detection Mamba (EVDMamba) network that strategically integrates a linear-complexity state space model (SSM) to substantially mitigate computational overhead while preserving feature extraction efficacy. (2) To counteract the constrained receptive fields and suboptimal spatial localization associated with conventional SSM sequence modeling, we implement a multi-branch collaborative learning framework that synergistically optimizes channel dimension processing, thereby augmenting the model’s capacity to capture critical spatial dependencies. (3) Comprehensive evaluations on the BDD100K benchmark demonstrate that MRD architecture achieves a 3.1% enhancement in mean average precision (mAP) relative to state-of-the-art RT-DETR variants, while concurrently reducing parameter count by 55.7%—a dual optimization of accuracy and efficiency.…”
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Radiomics integration based on intratumoral and peritumoral computed tomography improves the diagnostic efficiency of invasiveness in patients with pure ground-glass nodules: a mac... by Ying Zeng, Jing Chen, Shanyue Lin, Haibo Liu, Yingjun Zhou, Xiao Zhou

“…Conclusions GPTV had the highest diagnostic efficiency for predicting pathological invasiveness in patients with pure ground-grass nodules, and the random forest model outperformed other predictive models.…”
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An Advanced Auxiliary Delay-Weight Particle Filter with Linear Computation Cost by Chen Li, Lin Sun, Zengwei Zheng, Dan Chen

“…Most importantly, we add some auxiliary particles to these structures formed by sampled particles in order to obtain more efficient structures. Based on the newly tree-like structures formed by auxiliary particles and sampled particles, we design a well efficient delayed-weight algorithm with linear computation cost. …”
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A Linear Fitting Algorithm Based on Modified Random Sample Consensus by Yujin Min, Yun Tang, Hao Chen, Faquan Zhang

“…When performing linear fitting on datasets containing outliers, common algorithms may face problems like inadequate fitting accuracy. …”
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Models of Random Processes and Their Particular Application in the Optimum Linear Interpolation and Forecasting by V. A. Golovkov

“…Numerical methods show that efficiency of the optimum linear interpolation and forecasting is defined by higher derivative of random processes. …”
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19~21 GHz GaAs high linearity power amplifier MMIC by Liu Xiaoyu, Han Chenghao, Ruan Wenwu, Guo Runnan, Liu Ling, Xu Xindong, Hou Zewen, Zhuang Yuan, Yu Xuming, Tao Hongqi

“…The amplifier incorporates a cold-mode linearization circuit cascaded at the power amplifier gate to compensate for the amplifier's phase distortion characteristics, thereby enhancing linearity and efficiency. …”
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VMKLA-UNet: vision Mamba with KAN linear attention U-Net by Chenhong Su, Xuegang Luo, Shiqing Li, Li Chen, Juan Wang

“…KAN linear attention substantially mitigates computational complexity while enhancing the model’s capacity to focus on salient regions of interest, thereby facilitating efficient global context comprehension. …”
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METHODS AND FREQUENCY CHARACTERISTICS OF PARALLEL CONNECTIONS IN NON-LINEAR COMPENSATING DEVICES by A. S. Mikhalev

“…It is shown that owing to presence of the mentioned channels it is possible to have much higher number of connections than for ordinary linear compensation means. Some examples with frequency characteristics of such connections that ensure efficient and independent formation of amplitude and phase characteristics of the systems to be compensated are given in the paper.…”
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A Modified Augmented Lagrange Multiplier Method for Non-Linear Programming by Abbas Al-Bayati, Eman Hamed

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Mine pressure prediction based on empirical mode decomposition linear model by Yuwei ZHU, Pengfei WANG, Huixian WANG, Qiangqiang NIU, Liang XIN

“…To ensure the safe and efficient extraction of coal mines and reduce sudden roof accidents, this study proposes a novel multivariate long-term sequence mine pressure prediction model—the Empirical Mode Decomposition Linear Model (EMD–Mixer). …”
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Quick eVALUATION OF THE INTERVAL STABILITY OF THE LINEAR ASSIGNMENT problem SOLUTIONS by M. P. Revotjuk, M. K. Qaraleh, P. M. Batura

“…An efficient algorithm for evaluating the interval of solutions stability of opened and closed linear assignment problems based on a review of the results of optimization iterations is proposed. …”
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A New hybrid generalized CG- method for non-linear functions by Abbas Al-Bayati, Hamsa Chilmerane

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An Asymptotic Analysis of the Gradient Remediability Problem for Disturbed Distributed Linear Systems by Soraya Rekkab, Samir Benhadid, Raheam Al-Saphory

“…More precisely, asymptotically gradient efficient actuators ensuring the weak asymptotically gradient compensation system ( -system) of known or unknown disturbances are examined. …”
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Compact linear accelerator integrated with a high-power microwave source by Zi-Jing Zhang, Weihao Liu, Hongliang Xu

“…This work serves as a foundational study on integrated accelerator concepts, offering a pathway toward more efficient, scalable, and versatile particle acceleration systems.…”
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Numerical Solution for IVP in Volterra Type Linear Integrodifferential Equations System by F. Ghomanjani, A. Kılıçman, S. Effati

“…A method is proposed to determine the numerical solution of system of linear Volterra integrodifferential equations (IDEs) by using Bezier curves. …”
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B-splines Algorithms for Solving Fredholm Linear Integro-Differential Equations by Baghdad Science Journal

“…Algorithms using the second order of B -splines [B (x)] and the third order of B -splines [B,3(x)] are derived to solve 1' , 2nd and 3rd linear Fredholm integro-differential equations (F1DEs). …”
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Solving ill-conditioned linear equations using simulated annealing method by Mojtaba Moradi

“…By using a matrix scaling, the linear equation system transforms into a linear equation system with less condition number. …”
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Ranking nodes in bipartite systems with a non-linear iterative map by Andrea Mazzolini, Michele Caselle, Matteo Osella

“…This paper introduces a method based on a non-linear iterative map to evaluate node relevance in bipartite networks. …”
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Bagging-based heteroscedasticity-adjusted ridge estimators in the linear regression model

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Study of Some Kinds of Ridge Regression Estimators in Linear Regression Model by Mustafa Nadhim Lattef, Mustafa I ALheety

“… In linear regression model, the biased estimation is one of the most commonly used methods to reduce the effect of the multicollinearity. …”
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