STFGCN: Spatio-Temporal Fusion Graph Convolutional Networks for Subway Traffic Prediction by Xiaoxi Zhang, Zhanwei Tian, Yan Shi, Qingwen Guan, Yan Lu, Yujie Pan

“…Experimental results on the Hangzhou Metro’s inbound and outbound passenger flow datasets demonstrate that the STFGCN model exhibits significant superiority over baseline models and shows excellent performance in metro passenger flow prediction. …”
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Novel hybrid and weighted ensemble models to predict river discharge series with outliers by Maha Shabbir, Sohail Chand, Farhat Iqbal

“…Lastly, using the mean absolute error (MAE) weights of HVK, HVA and HEM predictions, the HVK-HEM and HVA-HEM models were formulated. …”
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Weakly supervised veracity classification with LLM-predicted credibility signals by João A. Leite, Olesya Razuvayevskaya, Kalina Bontcheva, Carolina Scarton

“…This paper introduces Pastel (Prompted weAk Supervision wiTh crEdibility signaLs), a weakly supervised approach that leverages large language models (LLMs) to extract credibility signals from web content, and subsequently combines them to predict the veracity of content without relying on human supervision. …”
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Impact of data spatial resolution on barley yield prediction mapping by F. Ksantini, M. Quemada, N. Arencibia-Pérez, A.F. Almeida-Ñauñay, E. Sanz, Ana M. Tarquis

“…Data-driven models and remote sensing techniques offer great crop monitoring and yield prediction potential. …”
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Impact of Parameter Uncertainties on Power Electronic Device Lifetime Predictions by Faezeh Kardan, Aditya Shekhar, Pavol Bauer

“…Properly addressing uncertainties in reliability analysis is essential for realistic lifetime predictions of power devices. This paper investigates parameter uncertainties on the lifetime estimation of power devices using an empirical lifetime model and Monte Carlo simulations. …”
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Predictive value of hemoglobin, serum PAF, and IL-17 in patients with radiation enteritis complicated with intestinal obstruction and construction and validation of predictive model by Meng Wang, Yang Zhao, Wenqiang Ren

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Advancing sustainable mobility: Dynamic predictive modeling of charging cycles in electric vehicles using machine learning techniques and predictive application development by Biplov Paneru, Durga Prasad Mainali, Bishwash Paneru, Sanjog Chhetri Sapkota

“…The main goal in this research is to train various machine learning models to predict charging cycles in EV Electric Vehicles) battery systems. …”
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Design of a Prediction Model to Predict Students’ Performance Using Educational Data Mining and Machine Learning by Jayasree R, Sheela Selvakumari

“…Initially, there was inadequate study of the various prediction techniques to select the ones that would best predict students’ success in educational environments. …”
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Construction of a Nomogram Prediction Model for Individualized Prediction of the Risk of Pulmonary Fungal Infection in Lung Cancer by Lai Q, Liao K, Kuang G, Liao W, Zhang S

“…Qixun Lai,1 Kaifu Liao,1 Guangzhi Kuang,1 Weijie Liao,2 Shengrui Zhang2 1Department of Thoracic Surgery, Ganzhou Fifth People’s Hospital, Ganzhou City, 341000, People’s Republic of China; 2Department of Critical Care Medicine, Ganzhou People’s Hospital, Ganzhou City, 341000, People’s Republic of ChinaCorrespondence: Shengrui Zhang, Department of Critical Care Medicine, Ganzhou People’s Hospital, No. 16 Meiguan Avenue, Ganzhou City, Jiangxi Province, 341000, People’s Republic of China, Tel +8615279719190, Email a13755016764@126.comObjective: To construct a nomogram model for individualized prediction of pulmonary fungal infection risk in lung cancer patients.Methods: A total of 483 lung cancer patients hospitalized between August 2021 and August 2024 were retrospectively analyzed and randomly divided into a modeling group (n=338) and validation group (n=145). …”
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Development and validation of PRE-FRA (PREdiction of FRAilty risk in community older adults) frailty prediction model by Taiping Lin, Xiaotao Huang, Xiang Wang, Miao Dai, Jirong Yue

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Explainable AI based LightGBM prediction model to predict default borrower in social lending platform by Li-Hua Li, Alok Kumar Sharma, Sheng-Tzong Cheng

“…This paper proposes an explainable AI (XAI)-based prediction model utilizing the LightGBM algorithm to predict the likelihood of borrower default on a social lending platform. …”
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Radiographic signature in apical periodontitis improves prediction of apical lesion healing through survival prediction model. by Yuebo Liu, Ge Kong, Fantai Meng, Chunlan Guo, Kuo Wan

“…In summary, the FA method proved to be an effective tool for quantifying the apical lesion boundary and predicting the healing speed using a survival model.…”
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Radiographic signature in apical periodontitis improves prediction of apical lesion healing through survival prediction model by Yuebo Liu, Ge Kong, Fantai Meng, Chunlan Guo, Kuo Wan

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An Atmospheric Signal Lowering the Spring Predictability Barrier in Statistical ENSO Forecasts by Dmitry Mukhin, Andrey Gavrilov, Aleksei Seleznev, Maria Buyanova

“…Abstract The loss of autocorrelations of tropical sea surface temperatures (SST) during late spring, also called the spring predictability barrier (SPB), is a factor that strongly limits the predictability of El Nino Southern Oscillation (ENSO), and especially the statistical SST‐based ENSO forecasts starting from the winter‐spring season. …”
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Hybrid Deep Learning Approaches for Improved Genomic Prediction in Crop Breeding by Ran Li, Dongfeng Zhang, Yanyun Han, Zhongqiang Liu, Qiusi Zhang, Qi Zhang, Xiaofeng Wang, Shouhui Pan, Jiahao Sun, Kaiyi Wang

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Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients by Wenwei Zuo, Xuelian Yang

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Impact of Water Vapor on the Predictive Modeling of Full-Scale Indirectly Heated Biomass Torrefaction System Throughput Capacity by Chaitanya Bhatraju, Matthew Russell, Martijn Dekker

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Efficient data-driven predictive control of nonlinear systems: A review and perspectives by Xiaojie Li, Mingxue Yan, Xuewen Zhang, Minghao Han, Adrian Wing-Keung Law, Xunyuan Yin

Subjects: “…Model predictive control…”
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Parallelizing process model integration for model predictive control through oracle design and analysis for a Grover’s algorithm-inspired optimization strategy by Kip Nieman, Helen Durand, Saahil Patel, Daniel Koch, Paul M. Alsing

“…In model predictive control (MPC), a process dynamic model is utilized to make predictions of the value of the objective function and constraints throughout a prediction horizon. …”
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Machine Learning Models for Tracking Blood Loss and Resuscitation in a Hemorrhagic Shock Swine Injury Model by Jose M. Gonzalez, Ryan Ortiz, Lawrence Holland, Austin Ruiz, Evan Ross, Eric J. Snider

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