An Algorithm for Smoker Detection by Hiba Youni, Saleem Omar, Mafaz Alwahhab, Enas Mqdad

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A screen-printed carbon electrode modified with a green synthesized gold nanoparticle for selective detection of nitrite in drinking water sample by M.V. Arularasu, T.V. Rajendran, R. Vignesh, Vinod Kumar Nelson, Shaik Mohammed Yusuf

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Konsistensi Model Regresi Empat Variabel Pada Populasi dan Sampel untuk Prediksi Temperatur by Nurjannah Syakrani, Naufal Athaya S. R

Subjects: “…Multi Variable Linear Regression…”
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A New Hyperparameter Tuning Framework for Regression Tasks in Deep Neural Network: Combined-Sampling Algorithm to Search the Optimized Hyperparameters by Nguyen Huu Tiep, Hae-Yong Jeong, Kyung-Doo Kim, Nguyen Xuan Mung, Nhu-Ngoc Dao, Hoai-Nam Tran, Van-Khanh Hoang, Nguyen Ngoc Anh, Mai The Vu

Subjects: “…linear regression…”
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Analysis of heart rhythm variability by linear and non-linear dynamics methods by Vuksanović Vesna, Gal Vera

“…Middle-aged also had a significantly lower power of high frequency and sample entropy as compared to the other three groups (p < 0.001). …”
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Parameter estimation in the Farlie–Gumbel–Morgenstern bivariate Bilal distribution via multistage ranked set sampling by S. P. Arun, M. R. Irshad, R. Maya, Amer I. Al-Omari, Shokrya S. Alshqaq

Subjects: “…multistage ranked set sampling…”
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Design of Extended Dissipative Approach via Memory Sampled-Data Control for Stabilization and Its Application to Mixed Traffic System by Wimonnat Sukpol, Vadivel Rajarathinam, Porpattama Hammachukiattikul, Putsadee Pornphol

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Arrayable TDC with Voltage-Controlled Ring Oscillator for dToF Image Sensors by Liying Chen, Bangtian Li, Chuantong Cheng

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ϵ-Confidence Approximately Correct (ϵ-CoAC) Learnability and Hyperparameter Selection in Linear Regression Modeling by Soosan Beheshti, Mahdi Shamsi

“…The hypothesis is chosen from classes with potentially different complexities. Linear regression modeling is an important category of learning algorithms. …”
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GAINS IN PERFORMANCE OF DIFFERENT METHODS OF COLLECTING ENTOMOLOGICAL MATERIALS IN ENVIRONMENTAL AND FAUNAL STUDIES ON COLEOPTERA by B. N. Saypulaeva

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A Simulation-Based Approach to Teach Interaction Effects in Postgraduate Biostatistics Courses by Nicola Orsini, Robert Thiesmeier, Karin Båge

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Aboveground Carbon Stock Estimation Based on Backpack LiDAR and UAV Multispectral Imagery at the Forest Sample Plot Scale by Rina Su, Wala Du, Yu Shan, Hong Ying, Wu Rihan, Rong Li

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A Multi-Year Scenario-Based Transmission Expansion Planning Model Incorporating Available Transfer Capability by Tohid Akbari, Saeed Zolfaghari Moghaddam

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Two-steps variance calibrated estimators with linear and non-linear constraints for mailed surveys with non-response by Ahmed Audu, Maggie Aphane

“…This paper proposed a new class of variance estimators that uses a two-step technique with designed weights based on linear and non-linear constraints to handle the presence of non-response in sample surveys. …”
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Using single-sample networks and genetic algorithms to identify radiation-responsive genes in rice affected by heavy ions of the galactic cosmic radiation with different LET values by Yan Zhang, Wei Wang, Meng Zhang, Binquan Zhang, Shuai Gao, Meng Hao, Dazhuang Zhou, Lei Zhao, Guenther Reitz, Guenther Reitz, Yeqing Sun

“…The transcriptome and methylation sequencing were conducted on above plants, and a bioinformatics pipeline based on single-sample networks (SSNs) and genetic algorithms (GA) was developed to analyze the multi-omics expression profiles in this work. …”
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Fast Analysis of Water Samples for Trace Amount of Crystal Violet Dye Based on Solid Phase Extraction Using Nanoporous SBA-3 prior to Determination by Fiber Optic-Linear Array Detection Spectrophotometry by Azam Azarkohan, Farzaneh Shemirani, Mahrouz Alvand

“…A solid phase preconcentration procedure using SBA-3 nanosorbent for the fast separation and preconcentration of crystal violet (CV) in water samples by fiber optic-linear array detection spectrophotometry (FO-LADS) is presented. …”
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An Optimal Linear Transformation for Data Assimilation by Chris Snyder, Gregory J. Hakim

“…Abstract Linear transformations are widely used in data assimilation for covariance modeling, for reducing dimensionality (such as averaging dense observations to form “superobs”), and for managing sampling error in ensemble data assimilation. …”
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Formal variations in the architecture of linear structures by Haider Manea Katami AL-Hashemi, kifah Guma Hafez

“…The first chapter dealt with the research problem, which posed the following question: (What are the formal variations in the architecture of linear structures?) The research aims to reveal the formal variations in the architecture Linear structures. …”
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On dilation operators and sampling numbers by Jan Vybíral

“…If s > 0, Tk is a bounded linear operator from Bpqs(ℝd) into itself and there are optimal bounds for its norm, see [4, 2.3.1]. …”
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Increasing ADC dynamic range in information-measuring systems by methods of digital signal processing by B. V. Chuvykin, M. M. Nikiforov

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