Topology Prediction of Branched Deformable Linear Objects Using Deep Learning by Shengzhe Ouyang, Manuel Zurn, Lukas Zeh, Armin Lechler, Alexander Verl

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Lightweight Infrared Small Target Detection Method Based on Linear Transformer by Bingshu Wang, Yifan Wang, Qianchen Mao, Jingzhuo Cao, Han Zhang, Laixian Zhang

“…The model consists of two parts: a multi-scale linear transformer and a lightweight dual feature pyramid network. …”
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Optimizing UAV performance with IoT and fuzzy linear fractional transportation models by Samaher Al-Janabi, Nawras G. Seyhood

“…This paper presents an innovative model integrating fully fuzzy linear fractional transportation programming (FTMP) with Internet of Things (IoT) technologies to enhance UAV performance. …”
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Method and Mathematical Modeling of Formation of Gradually and Homogeneously Oriented Linear Polymers by Levan Nadareishvili, Roland Bakuradze, Jimsher Aneli, Manana Areshidze, Ineza Pavlenishvili, Liana Sharashidze, Giorgi Basilaia

“…The scientific basis of these developments is the concept of a new structural state of linear polymers—a gradually oriented (stretched) state (GOS), the essence of which is set out briefly. …”
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Fully plasma-based electron injector for a linear collider or XFEL by T. N. Dalichaouch, X. L. Xu, F. Li, F. S. Tsung, W. B. Mori

“…We demonstrate through high-fidelity particle-in-cell (PIC) simulations a simple approach for efficiently generating 20+ GeV electron beams with the necessary charge, energy spread, and emittance for use as an injector in a future linear collider or a next generation XFEL. …”
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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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A Modified Augmented Lagrange Multiplier Method for Non-Linear Programming by Abbas Al-Bayati, Eman Hamed

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Bagging-based heteroscedasticity-adjusted ridge estimators in the linear regression model

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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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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 New hybrid generalized CG- method for non-linear functions by Abbas Al-Bayati, Hamsa Chilmerane

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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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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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Evaluation of Green Strategies for Prolonging the Lifespan of Linear Wireless Sensor Networks by Valery Nkemeni, Fabien Mieyeville, Godlove Suila Kuaban, Piotr Czekalski, Krzysztof Tokarz, Wirnkar Basil Nsanyuy, Eric Michel Deussom Djomadji, Musong L. Katche, Pierre Tsafack, Bartłomiej Zieliński

“…Battery-powered sensor nodes encounter substantial energy constraints, especially in linear wireless sensor network (LWSN) applications like border surveillance and road, bridge, railway, powerline, and pipeline monitoring, where inaccessible locations exacerbate battery replacement challenges. …”
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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

“… The goal of this work is demonstrating, through the gradient observation of a   of type linear ( -systems), the possibility for reducing the effect of any disturbances (pollution, radiation, infection, etc.) asymptotically, by a suitable choice of related actuators of these systems. …”
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Non-linear inhibitory responses enhance performance in collective decision-making by David March-Pons, Romualdo Pastor-Satorras, M. Carmen Miguel

“…We show that, compared with usual linear functions, non-linear responses enhance final consensus and reduce deliberation time. …”
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Topology-Dependent Antifreeze Properties of Biomimetic Linear and Star-Shaped Peptoids by Lei Feng, Liugen Xu, Junhao Wen, Minghai Zhao, Amjad Ali, Naushad Ahmad, Jianwei Lu, Li Guo

“…Developing safe and efficient cryoprotectants is critical for effective cryopreservation in biomedical applications. …”
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Compact linear accelerator integrated with a high-power microwave source by Zi-Jing Zhang, Weihao Liu, Hongliang Xu

“…This paper presents a novel linear accelerator design that integrates a high-power microwave source directly into the accelerator structure, eliminating the need for external drivers and enabling a more compact, cost-effective, and simplified system. …”
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Probabilistic Forecasting of Energy Consumption using Bayesian Dynamic Linear Models by Hartika Aulia, Syaharuddin Syaharuddin, Vera Mandailina, Hamenyimana Emanuel Gervas, Hameed Ashraf

“…This study aims to conduct a systematic literature review on the development of mathematical models for forecasting energy consumption using a probabilistic approach, particularly focusing on the Bayesian Dynamic Linear Model (BDLM). The research method employed is Systematic Literature Review (SLR), utilizing literature sources indexed in Scopus, DOAJ, and Google Scholar, with publication dates ranging from 2014 to 2024. …”
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