An introduction to predictive distribution modelling for conservation to encourage novel perspectives by M. MacPherson, K. R. Burgio, M. G. DeSaix, B. G. Freeman, J. Herbert, R. Herman, V. Jirinec, J. Shonfield, D. L. Slager, C. B. van Rees, J. E Jankowski

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Development and Validation of Predictive Models for Non-Adherence to Antihypertensive Medication by Cristian Daniel Marineci, Andrei Valeanu, Cornel Chiriță, Simona Negreș, Claudiu Stoicescu, Valentin Chioncel

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Establishment and validation of predictive model of ARDS in critically ill patients by Senhao Wei, Hua Zhang, Hao Li, Chao Li, Ziyuan Shen, Yiyuan Yin, Zhukai Cong, Zhaojin Zeng, Qinggang Ge, Dongfeng Li, Xi Zhu

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A New Prediction Model of Cutterhead Torque in Soil Strata Based on Ultra-Large Section EPB Pipe Jacking Machine by Jianwei Lu, Bo Sun, Qiuming Gong, Tiantian Song, Wei Li, Wenpeng Zhou, Yang Li

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Strategic integration of CSR, innovation-performance models, and upper echelon theory for predicting green business performance in Indonesia’s hospitality industry by Unti Ludigdo, Yeney Widya Prihatiningtias, Zarina Binti Zakaria, Ananda Sabil Hussein, Rizky Aditya Nugraha, Dhina Mustika Sari, Putu Adi Putra Arimbawa, Iqbal Lhutfi

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Improving event prediction using general practitioner clinical judgement in a digital risk stratification model: a pilot study by Emma Parry, Kamran Ahmed, Elizabeth Guest, Vijay Klaire, Abdool Koodaruth, Prasadika Labutale, Dawn Matthews, Jonathan Lampitt, Alan Nevill, Gillian Pickavance, Mona Sidhu, Kate Warren, Baldev M. Singh

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A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning by Congyang Li, Chenggang Wang, Jiru Zhang, Wenjun Zheng, Jing Shi, Li Li, Xuezhi Shi

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TAXONOMY OF EDUCATIONAL OBJECTIVES OF EDUCATORS AND PARENTS OF PRESCHOOL CHILDREN IN THE CONTEXT OF THE REQUIREMENTS OF THE FEDERAL STATE EDUCATIONAL STANDARD by V. B. Veretennikova, O. F. Shikhova, Yu. A. Shikhov

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From Meals to Marks: Modeling the Impact of Family Involvement on Reading Performance with Counterfactual Explainable AI by Myint Swe Khine, Nagla Ali, Othman Abu Khurma

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Application of Machine Learning Techniques for Predicting Students’ Acoustic Evaluation in a University Library by Dadi Zhang, Kwok-Wai Mui, Massimiliano Masullo, Ling-Tim Wong

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Physiologically Based Pharmacokinetic Modeling to Predict Lamotrigine Exposure in Special Populations to Facilitate Therapeutic Drug Monitoring and Guide Dosing Regimens by Ji-Cheng Li, Chen-Fang Miao, Yun Lei, Ai-Lin Liu

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Deep-Learning-Based AI-Model for Predicting Dental Plaque in the Young Permanent Teeth of Children Aged 8–13 Years by Banu Çiçek Tez, Yasin Güzel, Bahar Başak Kızıltan Eliaçık, Zafer Aydın

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Prediction model study focusing on eHealth in the management of urinary incontinence: the Personalised Advantage Index as a decision-making aid by Huibert Burger, Henk van der Worp, Marco H Blanker, Marjolein Y Berger, Anne Martina Maria Loohuis, Nienke Wessels, Janny Dekker, Alec GGA Malmberg

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Machine learning models for predicting metabolic dysfunction-associated steatotic liver disease prevalence using basic demographic and clinical characteristics by Gangfeng Zhu, Yipeng Song, Zenghong Lu, Qiang Yi, Rui Xu, Yi Xie, Shi Geng, Na Yang, Liangjian Zheng, Xiaofei Feng, Rui Zhu, Xiangcai Wang, Li Huang, Yi Xiang

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Risk prediction model of frailty and its associated factors in older adults: a cross-sectional study in Anhui Province, China by Xu Qin, Xu Qin, Huan Liu, Xiubin Tao, Zhiqing Zhou, Guangliang Mei, Ming Zhang, Ming Zhang, Shengqiang Zou

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Pedestrian Vision Language Model for Intentions Prediction by Farzeen Munir, Shoaib Azam, Tsvetomila Mihaylova, Ville Kyrki, Tomasz Piotr Kucner

“…To address this gap, we introduce PedVLM, a vision-language model that leverages multiple modalities (RGB images, optical flow, and text) to predict pedestrian intentions and also provide explainability for pedestrian behavior. …”
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Enhancing Accuracy and Explainability of Recidivism Prediction Models by Tammy Babad, Soon Ae Chun

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Personality-Aware Course Recommender System Using Deep Learning for Technical and Vocational Education and Training by Rana Hammad Hassan, Malik Tahir Hassan, Muhammad Shujah Islam Sameem, Muhammad Aasim Rafique

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STVMamba: precipitation nowcasting with spatiotemporal prediction model by Maoyang Zou, Longrui Wen, Yuanyuan Huang, Yuan He, Jingzhong Xiao

“…Deep learning methods such as recurrent, convolutional, and Transformer models have been applied to precipitation prediction. …”
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Macroscopic Modelling of Predicted Automated Vehicle Emissions by Mohammed Obaid, Arpad Torok

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