Relating natural image statistics to patterns of response covariability in macaque primary visual cortex by Amirhossein Farzmahdi, Adam Kohn, Ruben Coen-Cagli

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Precipitation-Related Atmospheric Nutrient Deposition in Farmington Bay: Analysis of Spatial and Temporal Patterns by Gustavious P. Williams, A. Woodruff Miller, Amin Aghababaei, Abin Raj Chapagain, Pitamber Wagle, Yubin Baaniya, Rachel H. Magoffin, Xueyi Li, Taylor Miskin, Peter D. Oldham, Samuel J. Oldham, Tyler Peterson, Lyle Prince, Kaylee B. Tanner, Anna C. Cardall, Daniel P. Ames

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VID: Human identification through vein patterns captured from commodity depth cameras by Syed W. Shah, Salil S. Kanhere, Jin Zhang, Lina Yao

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Maskless Fabrication of Film-Patterned-Retarder (FPR) Using Wedged Liquid Crystal Cell by Doyeon Lee, Keumcheol Kwak, Chul Gyu Jhun, Hyun Seok Choi, Jang-kun Song

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Investigating the Impact of Training Protocols on Myoelectric Pattern Recognition Control in Upper-Limb Amputees by Elaheh Mohammadreza, Vinicius Prado da Fonseca, Xianta Jiang

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Federated Learning for Scalable Anomaly Detection and Pattern Discovery in IoT-Enabled Aquaponics Systems by Saghar Shafaati, Javad Mohammadzadeh

“…In parallel, a Top-k mining approach was employed to benchmark pattern interpretability as well as computational efficiency because it revealed trade-offs in sensitivity versus frequency-based simplification. …”
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Digiphysical Approach in Post-COVID Rehabilitation: Process-Oriented Tool Support and Solution Patterns by Martin Henkel, Erik Perjons, Kristian Borg, Uno Fors, Jan Johansson, Marika C. Möller, Christer Wåhlander

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Hyper-Ordinal Pattern: Measuring High-Order Connection Relationship in Brain Disease Networks by Tianyu Du, Kai Ma, Xibei Yang, Daoqiang Zhang

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Interpretable machine learning unveils threshold responses and spatial patterns of global soil respiration by Junjie Jiang, Lingxia Feng, Junguo Hu, Chao Zhu

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Efficient Robot Localization Through Deep Learning-Based Natural Fiduciary Pattern Recognition by Ramón Alberto Mena-Almonte, Ekaitz Zulueta, Ismael Etxeberria-Agiriano, Unai Fernandez-Gamiz

“…This paper introduces an efficient localization algorithm for robotic systems, utilizing deep learning to identify and exploit natural fiduciary patterns within the environment. Diverging from conventional localization techniques that depend on artificial markers, this method capitalizes on the inherent environmental features to enhance both accuracy and computational efficiency. …”
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Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO) by Lec. Ali Hakem Alsaeedi, Suha Muhammed Hadi, Yarub Alazzawi, Emad Badry Badry

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Evaluation of Hierarchical Clustering Methodologies for Identifying Patterns in Timeout Requests in EuroLeague Basketball by José Miguel Contreras, Elena Molina Portillo, Juan Manuel Fernández Luna

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Bayesian geo-additive model to analyze spatial pattern and determinants of maternal mortality in Ethiopia by Yitagesu Eshetu, Tigist Getachew

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Author Correction: Patterned electrical brain stimulation by a wireless network of implantable microdevices by Ah-Hyoung Lee, Jihun Lee, Vincent Leung, Lawrence Larson, Arto Nurmikko

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Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph by Houdie Tu, Lei Li, Lei Li, Zhenchao Tao, Zhenchao Tao, Zan Zhang, Zan Zhang

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Designing a Kinetic Façade to Control Glare: Inspiration of Long-Day Plants Pattern by Fatemeh Fallahi, Ferial Ahmadi, Mahdi Khakzand, Yaser Shahbazi

“…In the next stage, computational simulations were conducted using Rhino and Grasshopper software along with Ladybug and Honeybee plugins to analyze sunlight and daylight performance. …”
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Method for estimating the pose of a robotic arm using a camera and calibration pattern by M. Bailova, M. Beres, P. Beremlijski, J. Koziorek, M. Prauzek, J. Konecny

“…Specifically, it yields a mean position error of 0.5 mm and a mean angle error of 0.31 degrees, with a computation time of 0.14 ms. These results suggest that the method offers an efficient and accurate alternative for camera-based pose estimation in industrial settings.…”
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Topological data analysis of pattern formation of human induced pluripotent stem cell colonies by Iryna Hartsock, Eunbi Park, Jack Toppen, Peter Bubenik, Elena S. Dimitrova, Melissa L. Kemp, Daniel A. Cruz

“…Current methods for quantifying multicellular patterning tend to capture the spatial properties of cell colonies at a fixed scale and typically rely on human annotation. …”
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Person identification using novel local triangular binary pattern-based texture descriptor by Arti Tekade, T. Vijayan, B. Karthik, Anurag Mahajan

“…This paper presents the novel local triangular binary pattern based texture descriptor to provide a local texture description of the hand radiographic images. …”
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From Spinal Central Pattern Generators to Cortical Network: Integrated BCI for Walking Rehabilitation by G. Cheron, M. Duvinage, C. De Saedeleer, T. Castermans, A. Bengoetxea, M. Petieau, K. Seetharaman, T. Hoellinger, B. Dan, T. Dutoit, F. Sylos Labini, F. Lacquaniti, Y. Ivanenko

“…Success in locomotor rehabilitation programs can be improved with the use of brain-computer interfaces (BCIs). Although a wealth of research has demonstrated that locomotion is largely controlled by spinal mechanisms, the brain is of utmost importance in monitoring locomotor patterns and therefore contains information regarding central pattern generation functioning. …”
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