Poisonous Plant Prediction Using Explainable Deep Inherent Learning Model by Ahmed S. Maklad, Ashraf Alyanbaawi, Mohammed Farsi, Hani M. Ibrahim, Mahmoud Elmezain

“…While computer vision techniques show promise for classifying plant species and predicting toxicity, the lack of comprehensive datasets including images, scientific names, descriptions, local names, and poisonous status complicates these predictions. …”
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Machine Learning‐Based Models for Intracerebral Hemorrhage In‐Hospital Mortality Prediction by Abdulaziz T. Bako, Farhaan S. Vahidy

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A prediction model for traffic conditions based on an improved Markov chain by Zhou Mingsheng, Liu Shuyang

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Development of an AI-Based Suicide Ideation Prediction Model for People with Disabilities by Jimin Han

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Advanced Prediction of Recurrent Fragility Fractures Using Large Language Models by Mohammad Alshraideh, Arafat Al-Dhaqm, Ahmad Alshammari, Abedalrahman Alshraideh, Bahaaldeen Alshraideh, Bayan Mohamed Al-Fayoumi, Maged Nasser

“…The study finds that the proposed models achieved an accuracy of 91.3% (LLaMA 7GB) and 90.2% (Gamma 7GB), with ROC AUC scores of 93% and 92%, respectively. …”
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Micromechanical model to predict the effect of temperature on the behavior of unsaturated porous media by Bao Viet Tran, Xavier Chateau

“…Two different phenomena have been considered: the temperature variations of surface tensions and the thermal dilatation of the solid phase in the framework of micromechanical models that are proposed in order to highlight the influence of the deformability of the solid phase on the macroscopic behavior. …”
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A new prediction model for sustained ventricular tachycardia in arrhythmogenic cardiomyopathy by Baowei Zhang, Xin Xie, Jinbo Yu, Yizhang Wu, Jian Zhou, Xiaorong Li, Xiaorong Li, Bing Yang, Bing Yang

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Prediction of Fish Migration Caused by Ocean Warming Based on SARIMA Model by Feng Xu, Yu-Ang Du, Hong Chen, Jia-Ming Zhu

“…The results show that the SARIMA model fits well in all regions and predicts the temperature changes in the studied sea area from 2021 to 2050. …”
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Perturbative gravitational wave predictions for the real-scalar extended Standard Model by Oliver Gould, Paul M. Saffin

“…We use effective field theory to account for the necessary higher-order resummations, and to construct consistent real and gauge-invariant gravitational wave predictions. Our results provide a comprehensive account of the convergence of perturbative predictions for the gravitational wave signals in this model. …”
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A Meteorology Based Particulate Matter Prediction Model for Megacity Dhaka by Sadia Afrin, Mohammad Maksimul Islam, Tanvir Ahmed

“…Models also exhibit strong predictive power in forecasting PM levels of two other CAMSs in Dhaka. …”
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Analysis of influencing factors and prediction model construction for asthenopia in mental laborers by WANG Hui, MA Xiaolu, ZHANG Yun, ZHANG Lingling, LIU Hui, ZHANG Zhenhua, SUN Jing, GU Jun

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Study on the Impact of Input Parameters on Seawater Dissolved Oxygen Prediction Models by Wenqing Li, Jing Lv, Yuhang Wang, Xiangfeng Kong

Subjects: “…sea water DO prediction…”
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Prediction of Fan Array Performance with Polynomial and Support Vector Regression Models by Philipp Ostmann, Martin Rätz, Martin Kremer, Dirk Müller

“…The increasing utilisation of demand-controlled ventilation strategies leads to the frequent operation of fans under part-load conditions. To accurately predict the energy demand of a ventilation system with a fan array in the early design stages, models that calculate reliable results across the whole operating range are required. …”
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Development and Validation of Radiation Embrittlement Prediction Model of Austenitic Stainless Steel by JIA Lixia, WANG Dongjie, HE Xinfu, WU Shi, YANG Wen

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Is it Beneficial to Use Different Thresholds Over Time for Early Prediction Model? by Sungsoo HONG, Hyunwoo CHOO, Kyung Hyun LEE, Sungjun HONG, Ki-Byung LEE, Chang Youl LEE

“… In production settings, deep learning models often rely on fixed thresholds. This study investigates whether using varying thresholds over time enhances predictive accuracy and clinical utility, especially for early sepsis prediction. …”
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Augmented Ensemble Model (AEM) for health trends prediction on social networks by Sonia Saini, Ruchi Agarwal, S.P. Singh, Punit Gupta, Ankit Vidhyarthi, Rohit Verma

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Evaluation of Effectiveness of Arima Model Predictions in Investment Portfolio Formation and Management by Brolinska Iryna, Žilinskij Grigorij

“…The purpose of the research is to evaluate the effectiveness of ARIMA model predictions in investment portfolio creation and management.…”
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Predictive modeling of telemedicine implementation in central Asia using neural networks by Zhannur ABDRAKHMANOVA, Talgat DEMESSINOV, Kadisha JAPAROVA, Monika KULISZ, Gulzhan BAYTIKENOVA, Ainur KARIPOVA, Zhansaya ERSAINOVA

“…The predictive model showed excellent accuracy, as evidenced by a very strong correlation between predicted and observed values (R = 0.99245). …”
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A predictive model for Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis by Rui Huang, Rui Huang, Dan Wu, Dan Wu, Ling Wang, Ling Wang, Ping Liu, Ping Liu, Xiaoru Zhu, Xiaoru Zhu, Leqiu Huang, Leqiu Huang, Mengmeng Chen, Mengmeng Chen, Xin Lv, Xin Lv

“…These results suggested that the model was highly stable and accurate. Furthermore, calibration curves and clinical decision curves indicated that the model possessed good calibration and offered significant clinical benefits.ConclusionsThe nomogram, which was based on these five predictors, exhibited robust predictive value and stability, thereby can be used to aid clinicians in the early detection of EBV-HLH.…”
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Simplified Fly Tower Modeling for Preliminary Acoustic Predictions in Opera Houses by Fabrizio Cumo, Umberto Derme, Sofia Agostinelli

Subjects: “…acoustic modeling and analysis…”
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