An Empirical Taxonomy of Video Summarization Model From a Statistical Perspective by Sai Babu Veesam, Aravapalli Rama Satish

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Protocol to boost the robustness and accuracy of spatial transcriptomics algorithms using ensemble techniques by Jiazhang Cai, Shushan Wu, Huimin Cheng, Wenxuan Zhong, Guo-Cheng Yuan, Ping Ma

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Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating Argument by Biwen Lia, Jingjing Huang, Donglun Wang

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Robust underwater object tracking with image enhancement and two-step feature compression by Jiaqing Li, Chaocan Xue, Xuan Luo, Yubin Fu, Bin Lin

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Handling Multicollinearity and Outliers in Logistic Regression Using the Robust Kibria–Lukman Estimator by Adewale F. Lukman, Suleiman Mohammed, Olalekan Olaluwoye, Rasha A. Farghali

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A statistical mechanics investigation of unfolded protein response across organisms by Nicole Luchetti, Keith M. Smith, Margherita A. G. Matarrese, Alessandro Loppini, Simonetta Filippi, Letizia Chiodo

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Statistical Temporal Variations in the Auroral Electrojet Estimated With Ground Magnetometers in Fennoscandia by Simon Walker, Karl Laundal, Jone Reistad, Anders Ohma, Spencer Hatch

“…Our improvements involve fixed data locations and SECS analysis grid and using a priori knowledge of the large‐scale currents improving the robustness of the inverse problem solution. We account for contributions from ground induced currents assuming so‐called mirror currents. …”
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On the Existence and Robustness of Steady Position-Momentum Correlations for Time-Dependent Quadratic Systems by M. Gianfreda, G. Landolfi

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Robust beamforming algorithm for RIS-MIMO system based on train prior information by ZHANG Zepeng, LI Cuiran, WU Hao, XIE Jianli, XU Qiong

“…Firstly, with incomplete train position information, the statistical characteristics of the line of sight (LOS) angle estimation error between RIS and mobile relay node (MRN) were estimated and derived. …”
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Fusobacterium nucleatum and Treponema denticola are robust biomarkers for gingivitis and periodontitis in small dogs by Daehyun Kwon, Daehyun Kwon, Kisuk Bae, Kwangsik Jang, Kwangsik Jang, Hyun Min Jo, Hyun Min Jo, Seong Soo Kang, Seong Soo Kang, Jonghoe Byun, Se Eun Kim, Se Eun Kim

“…However, Aa showed no relevance, and P. gulae was not significantly associated with periodontal disease in dogs in this study.ConclusionThese findings suggest that Fn and Td would be robust biomarkers for the severity of periodontal disease in small dogs.…”
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Spatial statistical analysis for the design of indoor particle-filter-based localization mechanisms by Jesus Martínez-Gómez, Miguel Martínez del Horno, Manuel Castillo-Cara, Víctor Manuel Brea Luján, Luis Orozco Barbosa, Ismael García-Varea

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Some Peculiar Features of Variation Factors Usage at Statistical Experimental Data Processing by S. N. Osipov

“…The paper considers some peculiar features of variation factor usage at statistical experimental data processing. Methods for robust designing of the G. …”
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Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems by Michele Lungaroni, Andrea Murari, Emmanuele Peluso, Pasqualino Gaudio, Michela Gelfusa

“…Robust statistical methods have been developed, which can provide much more reliable estimates. …”
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Determining the endurance limit of AISI 4340 steels in terms of different statistical approaches by Salim �aliskan, Riza G�rb�z

“…SN curves with presented confidence levels are the robust approach to make a prediction on safe life of a structure in terms of fatigue. …”
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Dynamic effects and information quantifiers of statistical memoryof MEG's signals at photosensitive epilepsy by R. M. Yulmetyev, E. V. Khusaenova, D. G. Yulmetyeva, P. Hänggi, S. Shimojo, K. Watanabe, J. Bhattacharya

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Exploring Early Learning Challenges in Children Utilizing Statistical and Explainable Machine Learning by Mithila Akter Mim, M. R. Khatun, Muhammad Minoar Hossain, Wahidur Rahman, Arslan Munir

“…Furthermore, we explored robust machine learning (ML) models to analyze and predict the learning challenges faced by children. …”
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Expert-assisted statistical learning techniques for assessing wetland conditions in urban landscapes by Kevin J. Erratt, Sassan Mohammady, Tracy S. Lee, Vanessa Carney, Kenneth Sanderson, Caroline L. Lesage, Felix C. Nwaishi, Irena F. Creed

“…To effectively assess wetland condition and develop appropriate management strategies, robust monitoring tools are needed. Statistical learning techniques, such as machine learning, have been proposed as a promising approach to enhance the development of these wetland monitoring tools. …”
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Statistical design of experiments for efficient performance characterization of protonic-ceramic electrolysis cells by Peter W Rand, Jake D Huang, You-Dong Kim, Charlie Meisel, Carolina Herradón Hernandez, Chris Chmura, Ryan P O’Hayre, Neal P Sullivan

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Generation of 2n series fractional factorial plans robust against linear-trend by SUSHEEL KUMAR SARKAR, KRISHAN LAL, SUKANTA DASH, SUNIL KUMAR YADAV, HIMANSHU

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Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with Delay by Jingjing Zeng, Xujun Yang, Lu Wang, Xiaofeng Chen

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