Ensemble Machine Learning for the Prediction and Understanding of the Refractive Index in Chalcogenide Glasses by Miruna-Ioana Belciu, Alin Velea

“…This study employs various machine learning models to reliably predict the refractive index at 20 °C using a small dataset of 541 samples extracted from the SciGlass database. …”
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Predicting post-traumatic growth based on rumination-reflection in patients with cancer by Elmira Majedi, Mahdieh Salehi, Amin Rafiepoor, Afsaneh Ghanbaripanah

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Application of Digital Educational History Data to Predict the Risk of Student Failure by Tatyana Kustitskaya, Roman Esin, Alexey Kytmanov, Tatyana Zykova

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Scanning Micromirror Calibration Method Based on PSO-LSSVM Algorithm Prediction by Yan Liu, Xiang Cheng, Tingting Zhang, Yu Xu, Weijia Cai, Fengtian Han

“…The objective is to establish a correspondence between the actual deflection angle of the micromirror and the output of the measurement system employing a regression algorithm, thereby enabling the prediction of the tilt angle of the micromirror. The decision factor (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula>) for this model at the <i>x</i>-axis reaches a value of 0.9947.…”
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A NEW METHOD FOR PREDICTING SURVIVAL AND ESTIMATING UNCERTAINTY IN TRAUMA PATIENTS by V. G. Schetinin, L. I. Jakaite, V. F. Kuriakin, V. I. Gorbachenko

“…The Trauma and Injury Severity Score (TRISS) is the current “gold” standard of screening patient’s condition for purposes of predicting survival probability. More than 40 years of TRISS practice revealed a number of problems, particularly, 1) unexplained fluctuation of predicted values caused by aggregation of screening tests, and 2) low accuracy of uncertainty intervals estimations. …”
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Modelling and predicting biogeographical patterns in river networks by Sabela Lois

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Model for non-periodic time series prediction by CAO Jianwen, WEI Xingbao, YANG Yi, LI Caihong, ZHAO Wenqing

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An interpretable machine learning model to predict hospitalizations by Hagar Elbatanouny, Hissam Tawfik, Tarek Khater, Anatoliy Gorbenko

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Modeling and Prediction of Ride-Sharing Utilization Dynamics by Tal Altshuler, Yaniv Altshuler, Rachel Katoshevski, Yoram Shiftan

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AI model for predicting asthma prognosis in children by Elham Sagheb, MS, Chung-Il Wi, MD, Katherine S. King, MS, Bhavani Singh Agnikula Kshatriya, MS, Euijung Ryu, PhD, Hongfang Liu, PhD, Miguel A. Park, MD, Hee Yun Seol, MD, Shauna M. Overgaard, PhD, Deepak K. Sharma, PhD, Young J. Juhn, MD, Sunghwan Sohn, PhD

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Current Genetic Models for Prediction of Primary Myelofibrosis by LB Polushkina, VA Shuvaev, MS Fominykh, YuA Krivolapov, EA Belyakova, ZP Asaulenko, V Motyko, LS Martynenko, MP Bakai, NYu Tsybakova, SV Voloshin, SS Bessmeltsev, AV Chechetkin, IS Martynkevich

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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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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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A Mode Selected Mixed Logic Dynamic Model and Model Predictive Control of Buck Converter by Lei Jiang, Enliang Liu, Ding Liu

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Regression Models for Predicting Physicochemical Properties of Biochar by Chiaw Hui Chiew, Li Yee Lim, Pei Ying Ong, Chunjie Li, Yee Van Fan

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Probabilistic medical predictions of large language models by Bowen Gu, Rishi J. Desai, Kueiyu Joshua Lin, Jie Yang

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CPLLM: Clinical prediction with large language models. by Ofir Ben Shoham, Nadav Rappoport

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Air Quality Prediction Model for Monitoring AQI by Das Aritra, Gupta Himanshu

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