Flexible Model Predictive Control for Bounded Gait Generation in Humanoid Robots by Tianbo Yang, Yuchuang Tong, Zhengtao Zhang

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Model based multi-loop predictive control scheme for multivariable processes by Arun Ramaveerapathiran, Muniraj Rathinam, Karuppiah Natarajan, Muthiah Athi, Patil Mounica

“…Abstract Industry applications of multi loop controller approaches are common because of their robustness, minimal tuning parameter, and straightforward design. A model based multi-loop predictive control method is presented. …”
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Editorial: Tropical cyclone modeling and prediction: advances in model development and its applications by Xuejin Zhang, Vijay Tallapragada, Zhan Zhang, Avichal Mehra

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Topside Electron Density Modeling Using Neural Network and Empirical Model Predictions by S. Dutta, M. B. Cohen

“…In prior work, an artificial neural network (NN) was developed and trained on two solar cycles worth of Defense Meteorological Satellite Program data (113 satellite‐years), along with global drivers and indices to predict topside electron density. In this paper, we highlight improvements made to this NN, and present a detailed comparison of the new model to E‐CHAIM and IRI as a function of location, geomagnetic condition, time of year, and solar local time. …”
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Validation of ARIC heart failure risk score in an Asian population: Results from the CORE-Thailand registry by Nichanan Osataphan, Ply Chichareon, Wanwarang Wongcharoen, Krit Leemasawat, Narawudt Prasertwitayakij, Pannipa Suwannasom, Siriluck Gunaparn, Kasem Rattanasumawong, Rungroj Krittayaphong, Arintaya Phrommintikul

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Machine Learning Approaches for Early Detection of Ossification of Posterior Longitudinal Ligament in Health Screening Settings by Ryo Mizukoshi, Ryosuke Maruiwa, Keitaro Ito, Norihiro Isogai, Haruki Funao, Retsu Fujita, Mitsuru Yagi

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Integration of single cell and bulk transcriptomes identifies T cell stress subtypes in LUAD by Shengping Min, Linfeng Pan, Xinyu Zhang, Huili Chen, Lixuan Qiu, Xinyu Wang, Yiluo Xie, Kai Zhang, Qiang Zhang, Chaoqun Lian, Jing Zhang

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Humanoid Motion Generation in Complex 3D Environments by Diego Marussi, Michele Cipriano, Nicola Scianca, Leonardo Lanari, Giuseppe Oriolo

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Heuristic modeling of the process of milling aviation parts with opposed end mills by synthesis of a predictive model by E. A. Shestakova, V. O. Ievlev, R. M. Yanbaev

“…The resulting model allows predicting the results of machining by the proposed method with an error of 10…15%.…”
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Modeling and control of automatic voltage regulation for a hydropower plant using advanced model predictive control by Ebunle Akupan Rene, Willy Stephen Tounsi Fokui

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To What Extent Does Discounting ‘Hot’ Climate Models Improve the Predictive Skill of Climate Model Ensembles? by Abigail McDonnell, Adam Michael Bauer, Cristian Proistosescu

“…The Intergovernmental Panel on Climate Change's (IPCC) Assessment Report Six (AR6) took a step toward ending so‐called ‘model democracy’ by discounting climate models that are too warm over the historical period (i.e., models that ‘run hot’) when making projections of global temperature change. …”
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Temporal trends and predictive modeling of air pollutants in Delhi: a comparative study of artificial intelligence models by Omer A. Alawi, Haslinda Mohamed Kamar, Ali Alsuwaiyan, Zaher Mundher Yaseen

“…The modelling results revealed that Bi-LSTM model had the best predictability performance for forecasting CO with (R2 = 0.979), NO with (R2 = 0.961), NO2 with (R2 = 0.956), SO2 with (R2 = 0.955), PM10 with (R2 = 0.9751) and NH3 with (R2 = 0.971). …”
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Generalization of a fast, predictive model for tokamak scenario design in ASTRA and comparison to a RAPTOR model by Raphael Schramm, Alexander Bock, Emiliano Fable, Jörg Stober, Simon van Mulders, Marc Maraschek, Rainer Fischer, Andreas Burckhart, Philip Schneider, Olivier Sauter, Hartmut Zohm, the ASDEX Upgrade Team, JET Contributors

“…We have previously presented an analytical predictive model to aid in the AT scenario design, optimized for a single scenario (Schramm et al 2024 Nucl. …”
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A hybrid workflow connecting a network and an agent-based model for predictive pedestrian movement modelling by Anita Ullrich, Franziska Hunger, Ioanna Stavroulaki, Adam Bilock, Klas Jareteg, Yury Tarakanov, Alexander Gösta, Alexander Gösta, Johannes Quist, Meta Berghauser Pont, Fredrik Edelvik

“…This study outlines a comprehensive workflow tailored for urban planners. It proposes a hybrid model that integrates an agent-based model, which simulates the micro-scale movement of pedestrians in outdoor urban environments, with a network model, which predicts the aggregated pedestrian flows on a macro-scale. …”
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Predictive Complexity of Quantum Subsystems by Curtis T. Asplund, Elisa Panciu

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Predictive features analysis and nomogram construction for predicting depression in elderly patients by Wei Lin, Zijun Zhao, Yingshan Yu, Hongbin Chen

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Predictive athlete performance modeling with machine learning and biometric data integration by Qin Jianjun, Haytham F. Isleem, Walaa J. K. Almoghayer, Mohammad Khishe

Subjects: “…Predictive athlete performance modeling…”
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Personalization of Robot Behavior Using Approach Based on Model Predictive Control by Mateusz Jarosz, Bartlomiej Sniezynski

“…In the proposed framework, a user model is applied to predict responses to potential robot actions. …”
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Water Supply Network System Control Based on Model Predictive Control by Adel Abdulrahman, Nagib Nasher

“…Keywords: Water supply system, Model predictive control, Constraints…”
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Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

“…Abstract State‐of‐the‐art model‐based predictive control techniques for AC motor drives are reviewed in this paper. …”
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