Model and Structure of IoT Network for Alzheimer’s Disease Diagnostics by U. A. Vishniakou, Yu Chuyue

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Modulated Model Predictive Speed Controller for PMSM Drives Employing Voltage-Based Cost Function by Ahmed Aboelhassan, Shuo Wang, Giampaolo Buticchi, Vasyl Varvolik, Michael Galea, Serhiy Bozhko

Subjects: “…Modulated model predictive speed control (M<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$_2$</tex-math> </inline-formula> </named-content>PSC)…”
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Disease prediction models and operational readiness. by Courtney D Corley, Laura L Pullum, David M Hartley, Corey Benedum, Christine Noonan, Peter M Rabinowitz, Mary J Lancaster

“…These events are characterized by evidence of infection and or disease condition. We reviewed models that attempted to predict a disease event, not merely its transmission dynamics and we considered models involving pathogens of concern as determined by the US National Select Agent Registry (as of June 2011). …”
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Model-Free Predictive Current Controller for Common Mode Voltage Stabilization by Finite odd Virtual Vector set by Majid Akbari, S. Alireza Davari, Reza Ghandehari, Freddy Flores-Bahamonde, Jose Rodriguez

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Development of an autoregressive neural network model for predicting accidents in the Khabarovsk Territory by E. V. Shokhirev, P. P. Volodkin, V. A. Lazarev, A. V. Konstantinov

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Development and validation of a model for predicting myopia in young children in China by Ting Hu, Rong Wu, Xi He, Zi-Yu Hua, Tian-Li Peng, Xiao-Yan Peng, Shi-Ming Li

“…This study aimed to construct a myopia prediction model that included perinatal factors and evaluate the correlation between each factor and myopia. …”
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Exploration of Machine Learning Models for Prediction of Gene Electrotransfer Treatment Outcomes by Alex Otten, Michael Francis, Anna Bulysheva

“…Advances in machine learning (ML) and computing power, data analysis, and model generation using ML techniques, such as neural networks, enable predictive modeling for GET. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…It was indicated that the series of prediction models could be applicable to accurately predict the development of inflorescence. …”
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Septic arthritis score (SAS) – a novel clinical prediction model for the probability of septic arthritis in the adult native knee by Jonas Tverring, Amelia Johansson, Omid Bornaei, Adam Lantz, Oskar Ljungquist

“…We aimed to develop a clinical prediction model for septic arthritis (SA) in the adult native knee. …”
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A Dendritic Neural Network-Based Model for Residential Electricity Consumption Prediction by Ting Jin, Rui Xu, Kunqi Su, Jinrui Gao

“…In this study, a dendritic neural network-based model (DNM), combined with the AdaMax optimization algorithm, is used to predict residential electricity consumption. …”
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Predicting Dilution in Underground Mines with Stacking Artificial Intelligence Models and Genetic Algorithms by Jorge L. V. Mariz, Tertius S. G. Ferraz, Marinésio P. Lima, Ricardo M. A. Silva, Hyongdoo Jang

“…Furthermore, four stacking models were constructed by aggregating the top-performing base learners, giving rise to ensemble metamodels applied, for the first time, to the task of dilution prediction in underground mining.…”
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Approach of Model Extension for Virtual Commissioning to Predict Energy Consumption of Production Systems by Leon Hollas, Christer-Clifford Schenke, Arvid Hellmich

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Reconstruction and Prediction of Regional Population Migration Neural Network Model with Age Structure by Cuiying Li, Yulin Wu, Yi Cheng, Yandong Guo, Kun Wei, Jie Zhao

“…Based on artificial neural networks, this article proposes a class of population models with age structure described by partial differential equations to predict the future trends of regional population changes. …”
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Vehicle Trajectory Prediction Using Residual Diffusion Model Based on Image Information by Wei He, Haoxuan Li, Tao Wang, Nan Wang

“…In order to better predict vehicle trajectories, we propose a new residual diffusion model to infer the joint distribution of future multi-vehicle trajectories. …”
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Multi-Step Prediction of TBM Tunneling Speed Based on Advanced Hybrid Model by Defu Liu, Yaohong Yang, Shuwen Yang, Zhixiao Zhang, Xiaohu Sun

“…In this paper, a multi-step prediction model of TBM tunneling speed based on the EWT-ICEEMDAN-SSA-LSTM hybrid model is proposed. …”
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A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults by Deepika Mohan, Peter Han Joo Chong, Jairo Gutierrez

“…Two AI models’ predictions are combined to produce accurate predictions: The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>I</mi></mrow><mrow><mn>1</mn></mrow></msub></mrow></semantics></math></inline-formula> model is based on vital signs using Fuzzy Logic, and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>I</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></semantics></math></inline-formula> model is based on Activities of Daily Living (ADLs) using a Deep Belief Network (DBN). …”
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Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

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Metabolome Profiling and Predictive Modeling of Dark Green Leaf Trait in Bunching Onion Varieties by Tetsuya Nakajima, Mari Kobayashi, Masato Fuji, Kouei Fujii, Mostafa Abdelrahman, Yasumasa Matsuoka, Jun’ichi Mano, Muneo Sato, Masami Yokota Hirai, Naoki Yamauchi, Masayoshi Shigyo

“…This study aimed to elucidate the mechanisms regulating the dark green trait and develop a predictive model for accurately assessing pigment composition. …”
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Hydraulic permeability prediction from attenuation in an oil well using the squirt flow model by Joseline Mena-Negrete, Raúl Del Valle García, Enrique Coconi-Morales

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Early Prediction of Remaining Useful Life for Lithium-Ion Batteries with the State Space Model by Yuqi Liang, Shuai Zhao

“…To reduce the complexity and improve the accuracy and applicability of early RUL predictions for LIBs, we proposed a Mamba-based state space model for early RUL prediction. …”
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