Optimization of Short Probe Linear Frequency Modulated Signal Parameters by Włodzimierz POGRIBNY, Tadeusz LESZCZYŃSKI

“…In many physical experiments, linear frequency modulated (LFM) signals are widely used to probe objects in different environments, from outer-space to underwater. …”
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Integration of multiple-linear and tumbling kinematics into self-piercing riveting by Holtkamp Pia, Wituschek Simon, Lechner Michael, Meschut Gerson

“…Due to the varying properties, rigid mechanical joining processes require sampling procedures and periodic changes of tool components or auxiliary joining parts. …”
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Bayesian Inference for Spatial Beta Generalized Linear Mixed Models by L. Kalhori Nadrabadi, M. Mohhamadzadeh

“…In this paper, a beta generalized linear mixed model with spatial random effect is proposed emphasizing on small values of the spatial range parameter and small sample sizes. …”
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Assessing the feasibility of quantum learning algorithms for noisy linear problems by Minkyu Kim, Panjin Kim

“…The findings of this work include on the one hand extended applicability of the quantum Fourier transform to the ring learning with errors problem which has been left open by Grilo et al., who first devised a polynomial-time quantum algorithm for solving noisy linear problems with quantum samples. On the other hand, this paper also shows there exist efficient classical algorithms for short integer solution and size-reduced learning with errors problems if the quantum samples used by the previous studies are given.…”
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Kernel Negative ε Dragging Linear Regression for Pattern Classification by Yali Peng, Lu Zhang, Shigang Liu, Xili Wang, Min Guo

“…However, they usually predefine a strict binary label matrix which has no freedom to fit the samples. In addition, they cannot deal with complex real-world applications such as the case of face recognition where samples may not be linearly separable owing to varying poses, expressions, and illumination conditions. …”
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Studying the Stability of one of Non-Linear Autoregressive Models with Application by Abdulghafoor Salim, Raadi Alhamdan

“…Conditions are applied in the aforementioned theories on data represent the monthly average wind speed in model of Baghdad city. The samples are classified by using  one of non-linear Autoregressive model the findings are the value of non-zero fixed point and the conditions of suggested stationarity model .…”
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Smoothing Estimation of Parameters in Censored Quantile Linear Regression Model by Mingquan Wang, Xiaohua Ma, Xinrui Wang, Jun Wang, Xiuqing Zhou, Qibing Gao

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Profile Inferences on Restricted Additive Partially Linear EV Models by Xiuli Wang

“…We consider the testing problem for the parameter and restricted estimator for the nonparametric component in the additive partially linear errors-in-variables (EV) models under additional restricted condition. …”
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Change-Point Estimation and Detection for Mixture of Linear Regression Models by Wenzhi Zhao, Tian Cheng, Zhiming Xia

“…Under appropriate conditions, the large-sample properties of the estimator are rigorously proven. …”
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Linear mixed effects models under inequality constraints with applications. by Laura Farnan, Anastasia Ivanova, Shyamal D Peddada

“…Since in many applications sample sizes are small and/or the data are not necessarily normally distributed and furthermore error variances need not be homoscedastic (i.e. heterogeneity in the data) we use an empirical best linear unbiased predictor (EBLUP) type residual based bootstrap methodology for deriving critical values of the proposed test. …”
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M Robust Weighted Ridge Estimator in Linear Regression Model by Taiwo Stephen Fayose, Kayode Ayinde, Olatayo Olusegun Alabi

“…Monte–Carlo simulation experiments were conducted on a linear regression model with three and six explanatory variables exhibiting different degrees of Multicollinearity, with heteroscedasticity structure of powers, magnitude of outlier in y direction and error variances and five levels of sample sizes. …”
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Investigating the Onion Skin Method for Solving Simple Linear Equations by Syahida Abdul Ghani, Masitah Shahrill, Hardimah Said

“…The study aimed to determine, through pre-and post-testing, the influence of incorporating the OSM into the learning of solving basic linear equations. The sample involved two Year 10 classes consisting of 31 students. …”
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Non-linear optical microscopy sheds light on cardiovascular disease. by Valentina Caorsi, Christopher Toepfer, Markus B Sikkel, Alexander R Lyon, Ken MacLeod, Mike A Ferenczi

“…Our aim is to quantitatively evaluate the increase in fibrosis by three-dimensional imaging of the collagen network in the myocardium using the non-linear optical microscopy techniques Two-Photon Excitation microscopy (TPE) and Second Harmonic signal Generation (SHG). …”
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Optimization of a high gain observer for feedback linearization control by Nadia Bounouara, Mouna Ghanai, Kheireddine Chafaa

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Average Rényi entanglement entropy in Gaussian boson sampling by Jason Youm, Joseph T. Iosue, Adam Ehrenberg, Yu-Xin Wang, Alexey V. Gorshkov

“…One popular framework for these experiments is Gaussian boson sampling, where quadratic photonic input states are interfered via a linear optical unitary and subsequently measured in the Fock basis. …”
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Stabilization for Networked Control Systems with Random Sampling Periods by Yuan Li, Qingling Zhang, Shuanghong Zhang, Min Cai

“…A state feedback controller is designed via the iterative linear matrix inequality (LMI) approach. It is shown that the designed controller is two-mode dependent and depends on not only the current S-C delay but also the most recent available sampling period at the controller node. …”
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A complexity transition in displaced Gaussian Boson sampling by Zhenghao Li, Naomi R. Solomons, Jacob F. F. Bulmer, Raj B. Patel, Ian A. Walmsley

“…Abstract Gaussian Boson Sampling (GBS) is the problem of sampling from the output of photon-number-resolving measurements of squeezed states input to a linear optical interferometer. …”
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Classificação da composição iônica da água de irrigação usando regressão linear múltipla Classification of the ionic composition of the irrigation water using multiple linear regre... by Celsemy E. Maia, Elís R.C. de Morais, Maurício de Oliveira

“…All water samples were collected by the farmers of the region where this work was conducted. …”
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Sampled-Data Control of Singular Systems with Time Delays by Zheng Minjie, Zhou Yujie, Yang Shenhua, Li Lina

“…Then, the existence conditions of desired sampled-data controller can be obtained, which are formulated in terms of strict linear matrix inequality. …”
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AISLEX: Approximate individual sample learning entropy with JAX by Ondrej Budik, Milan Novak, Florian Sobieczky, Ivo Bukovsky

“…AISLEX detects anomalous data samples when the learning entropy value is high. The module is designed to be readily usable, with both NumPy and JAX backends, making it suitable for various application fields. …”
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