The TB27 Transcriptomic Model for Predicting Mycobacterium tuberculosis Culture Conversion by Maja Reimann, Korkut Avsar, Andrew DiNardo, Torsten Goldmann, Gunar Günther, Michael Hoelscher, Elmira Ibraim, Barbara Kalsdorf, Stefan Kaufmann, Niklas Köhler, Anna Mandalakas, Florian Maurer, Marius Müller, Dörte Nitschkowski, Ioana Olaru, Cristina Popa, Andrea Rachow, Thierry Rolling, Helmut Salzer, Patricia Sanchez-Carballo, Maren Schuhmann, Dagmar Schaub, Victor Spinu, Elena Terhalle, Markus Unnewehr, Nika Zielinski, Jan Heyckendorf, Christoph Lange

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TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM by Elsaid Md. Abdelrahim, Hasan Hashim, El-Sayed Atlam, Radwa Ahmed Osman, Ibrahim Gad

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Development and validation of a risk assessment model for predicting the failure of early medical abortions: A clinical prediction model study based on a systematic review and meta... by An-Hao Liu, Bin Xu, Xiu-Wen Li, Yue-Wen Yu, Hui-Xin Guan, Xiao-Lu Sun, Yan-Zhen Lin, Li-Li Zhang, Xian-Di Zhuo, Jia Li, Wen-Qun Chen, Wen-Feng Hu, Ming-Zhu Ye, Xiu-Min Huang, Xun Chen

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Impacts of Predicted Liquid Fraction and Multiple Ice‐Phase Categories on the Simulation of Hail in the Predicted Particle Properties (P3) Microphysics Scheme by Jason A. Milbrandt, Hugh Morrison, Mélissa Cholette

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Comparison of SES method and SARIMA model in predicting the number of admissions in the department of neurology by Wanjun Yang, Liping Ding, Aonan Su

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Evolution and Predictive Analysis of Spatiotemporal Patterns of Habitat Quality in the Turpan–Hami Basin by Yaqian Li, Yongqiang Liu, Yan Qin, Kun Zhang, Reifat Enwer, Weiping Wang, Shuai Yuan

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Establishment and validation of risk prediction model to predict intravenous immunoglobulin-resistance in Kawasaki disease based on meta-analysis of 15 cohorts by Shuhui Wang, Na Sun, PanPan Liu, Weiguo Qian, Qiuqin Xu, DaoPing Yang, Mingyang Zhang, Miao Hou, Ye Chen, Guanghui Qian, Chunmei Gao, Ling Sun, Haitao Lv

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Enhanced Helicopter Vibration Prediction With Hybrid Sampling and Cost Mining Techniques by Jeonghun Kim, Keunho Choi, Donghee Yoo

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Machine learning model optimization for compressional sonic log prediction using well logs in Shahd SE field, Western Desert, Egypt by Khaled Saleh, Walid M. Mabrouk, Ahmed Metwally

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Improved Boundary Conditions for Coupled Geospace Models: An Application in Modeling Spacecraft Surface Charging Environment by Yiqun Yu, Shengjun Su, Jinbin Cao, Vania K. Jordanova, Michael H. Denton

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Predicting individual hemoglobin abnormalities using longitudinal data in clinical practice by Maliheh Namazkhan, Karel Jan van Tuijn, Maurits Kaptein, Remco van Horssen

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Prediction model for China's monthly LNG ex-factory prices based on BP-ARIMA by Xueping DU, Qinghua ZHAO, Lin MI, Zhikai LANG, Menglin LIU, Jiangtao WU

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Predictability of Flight Arrival Times Using Bidirectional Long Short-Term Memory Recurrent Neural Network by Vladimir Socha, Miroslav Spak, Michal Matowicki, Lenka Hanakova, Lubos Socha, Umer Asgher

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A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud by Zeyu Wang, Xiaofang Chen, Yiwei Wu, Linke Jiang, Shiming Lin, Gang Qiu

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A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes by Chang Gong, Jennifer J. Linderman, Denise Kirschner

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Prediction of influenza peaks in Russian cities: Comparing the accuracy of two SEIR models by Vasiliy N. Leonenko, Sergey V. Ivanov

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BAYESIAN NEURAL NETWORK RAINFALL MODELLING: A CASE STUDY IN EAST JAVA by Suci Astutik, Nur Silviyah Rahmi, Diego Irsandy, Fang You Dwi Ayu Shalu Saniyawati, Fidia Raaihatul Mashfia, Evelin Dewi Lusiana, Intan Fadhila Risda, Mohammad Hilmi Susanto

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POISSON REGRESSION MODELLING OF AUTOMOBILE INSURANCE USING R by Sandy Vantika, Mokhammad Ridwan Yudhanegara, Karunia Eka Lestari

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Modelling chelate-Induced phytoextraction: functional models predicting bioavailability of metals in soil, metal uptake and shoot biomass by Pasqualina Sacco, Fabrizio Mazzetto, Luca Marchiol

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Developing a predictive model for anticipating technology convergence: A transformer-based model and supervised learning approach. by Mokh Afifuddin, Wonchul Seo

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