Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis by Muhammed Ali Çolak, Osman Ünsal Bayrak

“…The results show that the ANN model provided the highest predictive accuracy for household-based data (R² = 0.62), while the linear regression model yielded the best results for dormitory-based data (R² = 0.95). …”
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Developing a suicide risk prediction model for hospitalized adolescents with depression in China by Juan Zhao, Juan Zhao, Ying Li, Yangjie Chen, Ahmad Naqib Shuid

“…However, limited research has focused on suicide prediction models tailored for hospitalized Chinese adolescents with depression. …”
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A monthly runoff prediction model based on ICEEMD-L-SHADE-SRU by Ziyang Kou, Yang Yang, Zhiping Li, Xiaoshuang Fu

“…The runoff prediction model is established by combining the success-history adaptive differential evolution algorithm for linear population size reduction (L-SHADE) and simple recurrent unit (SRU). …”
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Precision prognostic model for uveal melanoma: nomogram prediction and comparison with AJCC system by Wentao Wu, Jingjing Zhu, Yuzhu Wu, Daning Li, Rong Liu, Yuchen Zheng, Qiuqiong Deng, Yiqiang Yuan

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Probabilistic Prediction and Assessment of Train-Induced Vibrations Based on Mixture Density Model by Ziyu Tao, Lingshan He, Desi Tu, Chao Zou

“…This study presents a probabilistic prediction method for train-induced vibrations by combining a deep neural network (DNN) with the mixture density model in a cascade fashion, referred to as the DNN-RMDN model in this paper. …”
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Intraoperative predictive model for the detection of metastasis in non-sentinel axillary lymph nodes by José Antonio García-Mejido, Miguel Sanchez-Sevilla, Rocio García-Jimenez, Ana Fernández-Palacín, José Antonio-Sainz

“…Background: To design a software-applied predictive model relating patients clinical and pathological traits associated with sentinel lymph-node total tumor load to individually establish the need to perform an axillary lymph-node dissection. …”
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IT: An interpretable transformer model for Alzheimer's disease prediction based on PET/MR images by Zhaomin Yao, Weiming Xie, Jiaming Chen, Ying Zhan, Xiaodan Wu, Yingxin Dai, Yusong Pei, Zhiguo Wang, Guoxu Zhang

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Rockburst Prediction Based on the KPCA-APSO-SVM Model and Its Engineering Application by Yuefeng Li, Chao Wang, Jiankun Xu, Zonghong Zhou, Jianhui Xu, Jianwei Cheng

“…In addition, the trained prediction model was applied to five rockburst engineering cases and compared with the BP neural network model, SVM model, and APSO-SVM model. …”
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Distributed Model Predictive Control Applied to a Four Interconnected Tank Process by Felipe D.J. Sorcia Vázquez, Carlos D. García Beltrán, Guillermo Valencia Palomo, Gerardo Guerrero Ramírez, Manuel Adam Medina, Ricardo Escobar Jiménez

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Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

“…The worldwide health epidemic of anaemia which is a condition with low levels of red blood cells or haemoglobin requires accurate prediction models to act promptly and improve patient outcomes because it is widespread and has different causes. …”
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Insolvency and financial health prediction model for the listed companies on the Indonesia Stock Exchange by Khaira Amalia Fachrudin

“… An insolvency and financial health prediction model is an important warning to decision-makers. …”
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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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Disturbance Rejection and Uncertainty Analysis in Wind Turbines Using Model Predictive Control by Alok Kumar, Atul Kelkar

“…In our work, we propose a Model Predictive Control (MPC) framework with quadratic cost functions, incorporating control input and state constraints to mitigate the challenge of disturbance rejection and uncertainty analysis for the wind turbine operation. …”
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Integrated Wavelet-Grey-Neural Network Model for Heritage Structure Settlement Prediction by Yonghong He, Pengwei Jin, Xin Wang, Shaoluo Shen, Jun Ma

Subjects: “…grey model…”
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Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

“…Stroke is a critical condition marked by the death of brain cells due to inadequate blood flow, necessitating improved predictive models for stroke lesions. The accuracy and flexibility required to forecast and classify stroke lesions is lacking in current approaches, which compromise patient outcomes. …”
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Improving prediction accuracy in agricultural markets through the CIMA-AttGRU model. by Yankun Jiang, Jinhui Liu, Xiaotuan Li

“…This model uniquely integrates Collective Intrinsic Mode Analysis (CIMA) with an Attention-Gated Recurrent Unit (AttGRU), leveraging the strengths of both techniques to enhance predictive accuracy and adaptability. …”
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Model predictive control for water management and energy security in arid/semiarid regions by D.M. Bajany, L. Zhang, X. Xia

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A quantitatively interpretable model for Alzheimer’s disease prediction using deep counterfactuals by Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk

“…Deep learning (DL) for predicting Alzheimer’s disease (AD) has provided timely intervention in disease progression yet still demands attentive interpretability to explain how their DL models make definitive decisions. …”
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Local Functional Coefficient Autoregressive Model for Multistep Prediction of Chaotic Time Series by Liyun Su, Chenlong Li

“…To obtain the prediction values of chaotic time series, three steps are involved. …”
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Neural Network Identification-Based Model Predictive Heading Control for Wave Gliders by Peng Jin, Baolin Zhang, Yun Zhang

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