Generative Simplex Mapping: Non-Linear Endmember Extraction and Spectral Unmixing for Hyperspectral Imagery by John Waczak, David J. Lary

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Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population by Xianli Qiu, Yong Han, Changchun Cao, Yuheng Liao, Haofei Hu

“…To address the natural relationships between the atherogenicity indices and risk of prediabetes, we applied Cox proportional hazards regression with cubic spline functions and smooth curve fitting, using a recursive algorithm to calculate inflection points. …”
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USING REINFORCEMENT LEARNING ALGORITHMS FOR UAV FLIGHT OPTIMIZATION by O. Dutsiak, V. Yuzevych

“…The algorithm is used to determine the optimal policy by treating each raster as a state, the 26 possible directions as action sets, and the action value function as the objective function. When studying the results of the conducted experiment, it was found that after 160 experiments, thanks to the use of the RL gradient method, it was possible to determine the path from the starting point to the final point and successfully overcome all obstacles within a 84 seconds time period. …”
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ANALYSIS TECHNIQUE REFINEMENT OF SPINDLE HEAD VIBRATION OF MILLING AND DRILLING WOODWORKERS by Valery Anatolyevich Romanov, Alexander Nikolayevich Chukarin, Mikhail Bensionovich Flek

“…Considering the design features and geometrics of the machining tool, linear and point sources are accepted as an acoustic radiator model. …”
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Research on Multimodal Control Method for Prosthetic Hands Based on Visuo-Tactile and Arm Motion Measurement by Jianwei Cui, Bingyan Yan

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An industrial carbon block instance segmentation algorithm based on improved YOLOv8 by Runjie Shi, Zhengbao Li, Zewei Wu, Wenxin Zhang, Yihang Xu, Gan Luo, Pingchuan Ma, Zheng Zhang

“…Abstract Automatic cleaning of carbon blocks based on machine vision is currently an important aspect of industrial intelligent applications. …”
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Higher‐order modular regulation of the human proteome by Georg Kustatscher, Martina Hödl, Edward Rullmann, Piotr Grabowski, Emmanuel Fiagbedzi, Anja Groth, Juri Rappsilber

“…Here, we capture 31 higher‐order co‐regulation modules, which we term progulons, by help of supervised machine‐learning on proteomics data. Progulons consist of dozens to hundreds of proteins that together mediate core cellular functions. …”
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Exploring voice as a digital phenotype in adults with ADHD by Georg G. von Polier, Eike Ahlers, Julia Volkening, Jörg Langner, Kaustubh R. Patil, Simon B. Eickhoff, Florian Helmhold, Agnieszka Ewa Krautz, Daina Langner

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Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

“…The Adam optimizer and non-linear sigmoid activation function were employed. The best ANN model included four hidden layers and 448 neurons. …”
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A statistical framework for analysis of trial-level temporal dynamics in fiber photometry experiments by Gabriel Loewinger, Erjia Cui, David Lovinger, Francisco Pereira

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Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease by Marianna Riello, Monica Moroni, Stefano Bovo, Flavio Ragni, Manuela Buganza, Raffaella Di Giacopo, Marco Chierici, Lorenzo Gios, Matteo Pardini, Matteo Pardini, Federico Massa, Federico Massa, Monica Dallabona, Elisa Vanzetta, Cristina Campi, Cristina Campi, Michele Piana, Michele Piana, Sara Garbarino, Manuela Marenco, Venet Osmani, Giuseppe Jurman, Antonio Uccelli, Antonio Uccelli, Bruno Giometto, Bruno Giometto, NeuroArtP3 Network, Filippo Gerli, Guido Pasquini, Claudia Niccolai, Matteo Betti, Emilio Portaccio, Maria Pia Amato, Rossi Andrea, Parodi Costanza, Ramaglia Antonia, Tortora Domenico, Severino Mariasavina, Andrea Falini, Antonella Castellano, Nicolò Pecco, Paola Scifo, Sonia Calloni

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Benchmarking AlphaFold‐enabled molecular docking predictions for antibiotic discovery by Felix Wong, Aarti Krishnan, Erica J Zheng, Hannes Stärk, Abigail L Manson, Ashlee M Earl, Tommi Jaakkola, James J Collins

“…We demonstrate that rescoring of docking poses using machine learning‐based approaches improves model performance, resulting in average auROCs as large as 0.63, and that ensembles of rescoring functions improve prediction accuracy and the ratio of true‐positive rate to false‐positive rate. …”
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Wide-angle deep ultraviolet antireflective multilayers via discrete-to-continuous optimization by Kim Jae-Hyun, Kim Dong In, Lee Sun Sook, An Ki-Seok, Yim Soonmin, Lee Eungkyu, Kim Sun-Kyung

“…Using the binary-based training datasets, a factorization machine formulated a surrogate function, which discovered the ground binary vector representing a near-optimal figure of merit. …”
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Enhanced Hybrid Artificial Fish Swarm Algorithm for Three-Dimensional Path Planning Applied to Robotic Systems by Ilias Chouridis, Gabriel Mansour, Vasileios Papageorgiou, Michel Theodor Mansour, Apostolos Tsagaris

“…The use of a safety value factor and a total movement point factor in the AFSA’s objective function are introduced. …”
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Adaptive Remaining Capacity Estimator of Lithium-Ion Battery Using Genetic Algorithm-Tuned Random Forest Regressor Under Dynamic Thermal and Operational Environments by Uzair Khan, Mohd Tariq, Arif I. Sarwat

“…The estimator is designed to function effectively under varying thermal conditions. …”
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SIMULATION AND ACCURACY VERIFICATION OF HIGH PRECISION GEAR HOBBING BASED ON CATIA by HE ZhongYuan, WANG ZhongHou, LIU Lei, WU ShiQing

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Digital Wireless Technology to Measure Agricultural Performance by V. F. Fedorenko, V. E. Tarkivskiy

“…(Research purpose) To develop methods and create wireless digital devices for determining the functional indicators of agricultural tractors and machines with the ability to wirelessly transmit data to a remote control point in real time. …”
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A Probabilistic Approach to Surrogate‐Assisted Multi‐Objective Optimization of Complex Groundwater Problems by Reygie Q. Macasieb, Jeremy T. White, Damiano Pasetto, Adam J. Siade

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Distributed MIMO Networks With Rotary ULAs for Indoor Scenarios Under Rician Fading by Eduardo N. Tominaga, Onel L. A. Lopez, Tommy Svensson, Richard D. Souza, Hirley Alves

“…In this work, we propose the utilization of Access Points (APs) equipped with Rotary Uniform Linear Arrays (RULAs) for this purpose. …”
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Study of the working body mechanism in forging-and-stamping equipment by K. O. Kobzev

“…In this case, the accuracy coefficient should be determined by the ratio of the maximum of function to the least boundary value. Doing this requires establishing trends of changing the boundary function values associated with the angle variation. …”
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