Monitoring and Prediction of Land Surface Phenology Using Satellite Earth Observations—A Brief Review by Mateo Gašparović, Ivan Pilaš, Dorijan Radočaj, Dino Dobrinić

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A comprehensive approach to predict a rocket's impact with stochastic estimators and artificial neural networks by Jose Abreu, Roberto L. Oliveira, Joao V. Fonseca Neto

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Further evidence that averageness and femininity, rather than symmetry and masculinity, predict facial attractiveness judgments by Pengting Lee, Jingheng Li, Yasaman Rafiee, Benedict C. Jones, Victor K. M. Shiramizu

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Preeclampsia prediction with maternal and paternal polygenic risk scores: the TMM BirThree Cohort Study by Hisashi Ohseto, Mami Ishikuro, Taku Obara, Akira Narita, Ippei Takahashi, Genki Shinoda, Aoi Noda, Keiko Murakami, Masatsugu Orui, Noriyuki Iwama, Masahiro Kikuya, Hirohito Metoki, Junichi Sugawara, Gen Tamiya, Shinichi Kuriyama

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Prediction and characterisation of the human B cell response to a heterologous two-dose Ebola vaccine by Daniel O’Connor, Elizabeth A. Clutterbuck, Malick M. Gibani, Sagida Bibi, Katherine A. Sanders, Rebecca Makinson, Dominic F. Kelly, Andrew J. Pollard

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Prediction and prevention of crowd-crush accidents using crowd-density simulation based on unity engine by Chul-Ho Choi, Sung-Wook Park, Jun Park, Jong-Hoon Kim, Jin-Seong Kim, Hyun-Sung Yang, Bok-Eun Lee, Se-Hoon Jung, Chun-Bo Sim

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Exhaustion of Activated CD8 T Cells Predicts Disease Progression in Primary HIV-1 Infection. by Matthias Hoffmann, Nikos Pantazis, Genevieve E Martin, Stephen Hickling, Jacob Hurst, Jodi Meyerowitz, Christian B Willberg, Nicola Robinson, Helen Brown, Martin Fisher, Sabine Kinloch, Abdel Babiker, Jonathan Weber, Nneka Nwokolo, Julie Fox, Sarah Fidler, Rodney Phillips, John Frater, SPARTAC and CHERUB Investigators

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The manifestation of VIS-NIRS spectroscopy data to predict and mapping soil texture in the Triffa plain (Morocco) by Ayoub Lazaar, Biswajeet Pradhan, Zakariae Naiji, Abdelali Gourfi, Kamal El Hammouti, Karim Andich, Abdelilah Monir

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Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learning by Alexander Gmeiner, Mirena Ivanova, Patrick Murigu Kamau Njage, Lisbeth Truelstrup Hansen, Leonid Chindelevitch, Pimlapas Leekitcharoenphon

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Angiographic assessment of lenticulostriate artery sign to predict clinical outcomes after thrombectomy in patients with stroke by Shen Chen, Lisong Dai, Yiran Zhang, Xiaoer Wei, Bicong Yan, Yuehua Li

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Rare ice-base temperature measurements in Antarctica reveal a cold base in contrast with predictions by Pavel G. Talalay, German Leitchenkov, Vladimir Lipenkov, Youhong Sun, Nan Zhang, Da Gong, Yunchen Liu, Yazhou Li, Yuchen Sun, Ilnur Abdrakhmanov, Mstislav Vorobyev, Damir Khalimov, Xiaopeng Fan, Andrey Salamatin, Alexey A. Ekaykin, Bing Li

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Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides by Ching-Wei Wang, Nabila Puspita Firdi, Yu-Ching Lee, Tzu-Chiao Chu, Hikam Muzakky, Tzu-Chien Liu, Po-Jen Lai, Tai-Kuang Chao

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Spike-phase coupling of subthalamic neurons to posterior perisylvian cortex predicts speech sound accuracy by Matteo Vissani, Alan Bush, Witold J. Lipski, Latané Bullock, Petra Fischer, Clemens Neudorfer, Lori L. Holt, Julie A. Fiez, Robert S. Turner, R. Mark Richardson

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The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia by Ilija Doknić, Mirjana Mitrović, Zoran Bukumirić, Marijana Virijević, Nikola Pantić, Nikica Sabljić, Darko Antić, Živko Bojović

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Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique by Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwani Bilandi, Dayananda Pruthviraja

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Prediction on Slip Modulus of Screwed Connection for Timber–Concrete Composite Structures Based on Machine Learning by Wen-Wu Lu, Yu-Wei Chen, Ji-Gang Xu, Hui-Feng Yang, Hao-Tian Tao, Wei Zheng, Ben-Kai Shi

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Systematic analysis of the relationship between fold-dependent flexibility and artificial intelligence protein structure prediction. by Neshatul Haque, Jessica B Wagenknecht, Brian D Ratnasinghe, Michael T Zimmermann

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AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs by Emily Wittrup, John Reavey-Cantwell, Aditya S. Pandey, Dennis J. Rivet II, Kayvan Najarian

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A compact encoding of the genome suitable for machine learning prediction of traits and genetic risk scores by Yasaman Fatapour, James P. Brody

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MaxComp: Predicting single-cell chromatin compartments from 3D chromosome structures. by Yuxiang Zhan, Francesco Musella, Frank Alber

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