Evaluation of Six Preendoscopy Scoring Systems to Predict Outcomes for Older Adults with Upper Gastrointestinal Bleeding by Yajie Li, Qin Lu, Kexuan Wu, Xilong Ou

“…Mortality, intervention, rebleeding, and ICU admission in UGIB for older adults can be predicted well using MAP(ASH). ABC is the most accurate for predicting mortality. …”
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SC-ResNeXt: A Regression Prediction Model for Nitrogen Content in Sugarcane Leaves by Zihao Lu, Cuimin Sun, Junyang Dou, Biao He, Muchen Zhou, Hui You

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Retracted: Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks by Journal of Mathematics

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SiC MOSFET with Integrated SBD Device Performance Prediction Method Based on Neural Network by Xiping Niu, Ling Sang, Xiaoling Duan, Shijie Gu, Peng Zhao, Tao Zhu, Kaixuan Xu, Yawei He, Zheyang Li, Jincheng Zhang, Rui Jin

“…Due to the increasing research on neural networks in recent years, such as the application of neural networks to the prediction of GaN JBS and Finfet devices, this paper considers the application of neural networks to the performance prediction of SiC MOSFET devices with an integrated SBD. …”
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An Adaptive Prediction-Correction Method for Solving Large-Scale Nonlinear Systems of Monotone Equations with Applications by Gaohang Yu, Shanzhou Niu, Jianhua Ma, Yisheng Song

“…Combining multivariate spectral gradient method with projection scheme, this paper presents an adaptive prediction-correction method for solving large-scale nonlinear systems of monotone equations. …”
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The Value of P‐Wave Parameters Changes in Predicting Catheter Ablation Outcomes for Paroxysmal Atrial Fibrillation by Ibrahim Antoun, Xin Li, Zakariyya Vali, Ahmed Kotb, Ahmed Abdelrazik, Ivelin Koev, Riyaz Somani, G. André Ng

“…Conclusion Increased PWDc and PWA after PVI were independently associated with failed ablation for PAF, supporting the role of P‐wave parameters in predicting outcomes.…”
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Research on the Initial Fault Prediction Method of Rolling Bearings Based on DCAE-TCN Transfer Learning by Huaitao Shi, Yajun Shang, Xiaochen Zhang, Yinghan Tang

“…In this paper, a rolling bearing initial fault prediction model that is based on transfer learning and the DCAE-TCN is presented. …”
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A New Hybrid Model Predictive Controller Design for Adaptive Cruise of Autonomous Electric Vehicles by Yuanhang Chen, Guodong Feng, Shaofang Wu, Xiaojun Tan

“…This paper focuses on a hybrid model predictive controller (MPC) design for an adaptive cruise. …”
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Research on Intelligent Vehicle Operation Risk Assessment and Early Warning Based on Predictive Risk Field by Ruibin Zhang, Yingshi Guo

“…By predicting the motion state of the target vehicle and utilizing an improved risk field model based on the target vehicle of heading angle, the predictive risk field is obtained. …”
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Presentation of Machine Learning Approaches for Predicting the Severity of Accidents to Propose the Safety Solutions on Rural Roads by Mohammad Habibzadeh, Mahmoud Ameri, Hassan Ziari, Neda Kamboozia, Seyede Mojde Sadat Haghighi

“…The aim of the current research was to develop models to predict the severity of accidents on rural roads in Tehran province, Iran. …”
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The performance of the weather research & forecasting model (WRF) using ensemble method to predict weather parameters by Pratama Alvin, Oktaviana Ade A., Kombara Prawira Y., Isnaenda Ikhsan Muhammad

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Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models by Hongkun Fu, Jian Lu, Jian Li, Wenlong Zou, Xuhui Tang, Xiangyu Ning, Yue Sun

Subjects: “…wheat yield prediction…”
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Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis by Milad Shahvaroughi Farahani, Hamed Farrokhi-Asl, Saeed Rahimian

“…Consequently, there has been a growing interest in developing more precise and heuristic models and methods for stock price prediction in recent years. This study aims to assess the effectiveness of technical indicators for stock price prediction, including closing price, lowest price, highest price, and the exponential moving average method. …”
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Physics-Informed Neural Networks for Modal Wave Field Predictions in 3D Room Acoustics by Stefan Schoder

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Prediction Model of Phosphorus Content at the End Point of Electroslag Remelting Based on MI and XGBoost Algorithms by Liu　Yuxiao, Dong　Yanwu, Jiang　Zhouhua, Chen　Xi

“…This study proposes a phosphorus content prediction model for the endpoint of electroslag remelting （ESR） refining process based on Mutual Information （MI） method and XGBoost. …”
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Model Predictive Control for an Aerial Tree-Pruning Robot Based on Alternating Direction Method of Multipliers by Changliang Xu, Zhong Yang, Hao Xu, Qiuyan Zhang, Dongsheng Zhou, Kaiwen Lu, Jiaming Han, Luwei Liao

“…Therefore, a control scheme based on model predictive control is proposed for the aerial tree-pruning robot and to deal with an uncertain system during the pruning operation period. …”
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Practical Implementation of Federated Learning for Detecting Backdoor Attacks in a Next-word Prediction Model by Jimmy K. W. Wong, Ki Ki Chung, Yuen Wing Lo, Chun Yin Lai, Steve W. Y. Mung

“…Abstract This article details the development of a next-word prediction model utilizing federated learning and introduces a mechanism for detecting backdoor attacks. …”
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Compressive Strength Prediction of Self-Compacting Concrete-A Bat Optimization Algorithm Based ANNs by Amir Andalib, Babak Aminnejad, Alireza Lork

“…This article examines the feasibility of using bat-trained artificial neural networks (ANNs) to predict the compressive strength of self-compacting concrete (SCC). …”
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Covert Network Analysis for Key Player Detection and Event Prediction Using a Hybrid Classifier by Wasi Haider Butt, M. Usman Akram, Shoab A. Khan, Muhammad Younus Javed

“…In this paper, we present a novel method to predict key players from a covert network by applying a hybrid framework. …”
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LPR-MLP: A Novel Health Prediction Model for Transmission Lines in Grid Sensor Networks by Yunliang Chen, Shaoqian Chen, Nian Zhang, Hao Liu, Honglei Jing, Geyong Min

“…In this paper, a novel model called LPR-MLP is proposed to predict the health status of the power grid sensor network. …”
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