The Use of Explainable Machine Learning for the Prediction of the Quality of Bulk-Tank Milk in Sheep and Goat Farms by Daphne T. Lianou, Yiannis Kiouvrekis, Charalambia K. Michael, Natalia G. C. Vasileiou, Ioannis Psomadakis, Antonis P. Politis, Angeliki I. Katsafadou, Eleni I. Katsarou, Maria V. Bourganou, Dimitra V. Liagka, Dimitrios C. Chatzopoulos, Nikolaos M. Solomakos, George C. Fthenakis

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TTR.PGM: An R package for modelling the distributions and dynamics of plants using the Thornley transport resistance plant growth model by Steven I. Higgins, Arne Burkhardt, Timo Conradi, Edward Muhoko

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Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions by Kirsten Zantvoort, Barbara Nacke, Dennis Görlich, Silvan Hornstein, Corinna Jacobi, Burkhardt Funk

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Permeability Prediction for Ajeel Oilfield/ Tertiary Reservoir by Integrating Rock Typing Approach with FZI Method by Vian M. Ahmed, Ayad A. Al-Haleem

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Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

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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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Genotype, Ethnicity, and Drug–Drug Interaction Modeling as Means of Verifying Transporter Biomarker PBPK Model: The Coproporphyrin‐I Story by Yuki Ujihira, Shawn Pei Feng Tan, Daniel Scotcher, Aleksandra Galetin

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Mechanics of densely packed snow across scales: A constitutive modelling strategy based on the 3-D H-model by Marie Miot, Antoine Wautier, Pit Polfer, Pierre Philippe, Tibor Fülöp, François Nicot

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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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AnophelesModel: An R package to interface mosquito bionomics, human exposure and intervention effects with models of malaria intervention impact. by Monica Golumbeanu, Olivier Briët, Clara Champagne, Jeanne Lemant, Munir Winkel, Barnabas Zogo, Maximilian Gerhards, Marianne Sinka, Nakul Chitnis, Melissa Penny, Emilie Pothin, Tom Smith

“…To facilitate this process and make model predictions of intervention impact available for different geographical regions, we developed AnophelesModel. …”
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