Energy Use and Demand Prediction Using Time-Series Deep Learning Forecasting Techniques: Application for a University Campus by Bivin Pradeep, Parag Kulkarni, Farman Ullah, Abderrahmane Lakas

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Prediction of Trolling behavior from sadism and Internet addiction in young adults of Buenos Aires by Pablo Christian González Caino, Santiago Resett

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How does foreign accent affect template matching mechanisms? ERP evidence from Polish by Hanna Kędzierska

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Improving Diabetes Prediction by Selecting Optimal K and Distance Measures in KNN Classifier by Emad Majeed Hameed, Hardik Joshi

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Development and validation of a recurrence risk prediction model for elderly schizophrenia patients by Biqi Zu, Chunying Pan, Ting Wang, Hongliang Huo, Wentao Li, Libin An, Juan Yin, Yulan Wu, Meiling Tang, Dandan Li, Xin Wu, Ziwei Xie

Subjects: “…Prediction model…”
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Intelligent Classification of Stable and Unstable Slope Conditions Based on Landslide Movement by Long Tsang, Ali Ghorbani, Seyed Mohammad Hossein Khatami, Dmitrii Ulrikh

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Prediction of Claim Fund Reserves in Insurance Companies Using the ARIMA Method by Goenawan Brotosaputro, Yohanes Setiawan Japriadi, Wiwin Windihastuty, Rivai Ahsani

Subjects: “…prediction…”
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Review and External Evaluation of Population Pharmacokinetic Models for Vedolizumab in Patients with Inflammatory Bowel Disease: Assessing Predictive Performance and Clinical Applicability by Marija Jovanović, Ana Homšek, Srđan Marković, Đorđe Kralj, Petar Svorcan, Tamara Knežević Ivanovski, Olga Odanović, Katarina Vučićević

Subjects: “…predictive performance…”
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The Predictive Role of Lactate in the Emergency Department in Patients with Severe Dyspnea by Maciej Niczewski, Szymon Gawęda, Paulina Kluszczyk, Mikołaj Rycerski, Daria Syguła, Anna Danel, Szymon Szmigiel, Konrad Mendrala, Aleksandra Oraczewska, Czarosław Kijonka, Monika Nowicka, Michał Wita, Tomasz Cyzowski, Grzegorz Brożek, Maciej Dyrbuś, Szymon Skoczyński

“…The aim of our analysis was to assess whether blood gas parameters in patients with dyspnea at an increased risk of respiratory failure admitted to the ED can predict short-term outcomes. Methods. The study group eventually consisted of 108 patients, with available BG analysis. …”
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Isoniazid urine spectrophotometry for prediction of serum pharmacokinetics in adults with TB by P. S. Rao, K. Reed, N. Modi, D. Handler, K. Petros de Guex, S. Yu, L. Kagan, R. Reiss, N. Narayanan, C. A. Peloquin, A. Lardizabal, C. Vinnard, T. A. Thomas, Y. L. Xie, S. K. Heysell

“…Area under the receiver operator characteristic curves for urine values predicting a subtherapeutic serum concentration (peak <3.0 mg/L) were as follows: 0–4 h interval (AUC 0.85, 95% CI 0.7–0.96), 0–8 h interval (AUC 0.85, 95% CI 0.71–0.96), and 0–24 h urine collection interval (AUC 0.84, 95% CI 0.68–0.96). …”
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Prediction of Dynamic Stability Using Mapped Chebyshev Pseudospectral Method by Jae-Young Choi, Dong Kyun Im, Jangho Park, Seongim Choi

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A machine learning approach for predicting treatment response of hyponatremia by Tamaki Kinoshita, Shintaro Oyama, Daisuke Hagiwara, Yoshinori Azuma, Hiroshi Arima

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Impact of stain variation and color normalization for prognostic predictions in pathology by Siyu Lin, Haowen Zhou, Mark Watson, Ramaswamy Govindan, Richard J. Cote, Changhuei Yang

“…We found that the DNN trained on either batch of slides/images was unable to generalize and failed to predict progression in the other batch of slides/images (AUCcross-batch = 0.52 - 0.53 compared to AUCsame-batch = 0.74 - 0.81). …”
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The Applications and Prospects of Large Language Models in Traffic Flow Prediction by Liu Yuxuan

“…Predicting traffic flow is crucial for the functionality of intelligent transportation systems. …”
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Visual Explainable Convolutional Neural Network for Aerodynamic Coefficient Prediction by Yanxuan Zhao, Chengwen Zhong, Fang Wang, Yueqing Wang

“…Moreover, the saliency map of the predicted aerodynamic force on the input airfoil is shown in a more intuitive way. …”
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Rockburst Inducement Mechanism and Its Prediction Based on Microseismic Monitoring by Yongsong Li, Chao Zhou

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Risk prediction models for breast cancer: a systematic review by Jiang Li, He Li, Jie He, Ni Li, Yadi Zheng, Zheng Wu, Maomao Cao

“…Risk of bias was assessed according to the PROBAST framework.Results 63 894 studies were screened and 40 studies with 47 risk prediction models were included in the review. Most of the studies used logistic regression to develop breast cancer risk prediction models for Caucasian women by case–control data. …”
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Dynamics in the Predictability of Credit Default Swap Spreads of EU Companies by Kirill Romanyuk, Sarvar Anvarov, Mark Shumilov, Alecksey Zheleyko

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Output Feedback Model Predictive Control for NCSs with Input Quantization by Hongchun Qu, Yu Li, Wei Liu

“…This paper addresses the robust output feedback model predictive control (MPC) schemes for networked control systems (NCSs) with input quantization. …”
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Cloud Based Metalearning System for Predictive Modeling of Biomedical Data by Milan Vukićević, Sandro Radovanović, Miloš Milovanović, Miroslav Minović

“…Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. …”
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