Deep Learning‐Based Approach for Enhancing Streamflow Prediction in Watersheds With Aggregated and Intermittent Observations by Nikunj K. Mangukiya, Ashutosh Sharma

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Deploying projected utility to predict health behaviour in health economics: a quantitative study by Damien S. E. Broekharst, Sjaak Bloem, Edward A. G. Groenland, Patrick P. T. Jeurissen, Michel van Agthoven

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PathCare: Integrating Clinical Pathway Information to Enable Healthcare Prediction at the Neuron Level by Dehao Sui, Lei Gu, Chaohe Zhang, Kaiwei Yang, Xiaocui Li, Liantao Ma, Ling Wang, Wen Tang

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High Concentrations of Nanoparticles From Isoprene Nitrates Predicted in Convective Outflow Over the Amazon by R. Bardakov, J. A. Thornton, A. M. L. Ekman, R. Krejci, M. L. Pöhlker, J. Curtius, J. Williams, J. Lelieveld, I. Riipinen

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Prediction of GTAW penetration state based on enhanced knowledge of dynamic morphology molten pool by Yuxiang HONG, Xiangzhi XIE, Xingxing HE, Dong DU, Baohua CHANG

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Feature selection for specific prediction targets at the user level in a district heating network by Samanta A. Weber, Michael Fischlschweiger, Dirk Volta, Jens Geisler

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Predicting adolescent violence in Wartegg-ZeichenTest drawing images based on deep learning by Kyung-yeul Kim, Young-bo Yang, Mi-ra Kim, Ji Su Park, Jihie Kim

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A Unified Machine Learning Framework for Li-Ion Battery State Estimation and Prediction by Afroditi Fouka, Alexandros Bousdekis, Katerina Lepenioti, Gregoris Mentzas

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Fall prediction in a quiet standing balance test via machine learning: Is it possible? by Juliana Pennone, Natasha Fioretto Aguero, Daniel Marczuk Martini, Luis Mochizuki, Alexandre Alarcon do Passo Suaide

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Enhancing Crop Yield Prediction Using IoT-Based Soil Moisture and Nutrient Sensors by Alsalami Zaid, Mohammed G., Srinivas Tummala

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Reliability Prediction of Mixed-Signal Module Based on Multi-Stress Field Failure Mechanisms by Wei Zheng, Mingtao Feng, Ruishi Lin, Yue Yu, Kaiwen Xiao, Guofu Zhai

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Predicting Cognitive Decline in Motoric Cognitive Risk Syndrome Using Machine Learning Approaches by Jin-Siang Shaw, Ming-Xuan Xu, Fang-Yu Cheng, Pei-Hao Chen

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Ecological Stability over the Period: Land-Use Land-Cover Change and Prediction for 2030 by Mária Tárníková, Zlatica Muchová

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Trends and Disparities in Parkinson’s Disease Mortality in the United States with Predictions Using Machine Learning by Henry Weresh, Kallin Hermann, Ali Al-Salahat, Amna Noor, Taylor Billion, Yu-Ting Chen, Abubakar Tauseef, Ali Bin Abdul Jabbar

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Very good partial remission predicts progression-free survival in patients with multiple myeloma by A. S. Luchinin, S. V. Semochkin

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Experience of neuronet diagnosis and prediction of peptic ulcer disease by results of risk factors’ analysis by V. A. Lazarenko, A. E. Antonov, V. K. Markapuram, K. Awad

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RHYTHMI: A Deep Learning-Based Mobile ECG Device for Heart Disease Prediction by Alaa Eleyan, Ebrahim AlBoghbaish, Abdulwahab AlShatti, Ahmad AlSultan, Darbi AlDarbi

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MP3: a software tool for the prediction of pathogenic proteins in genomic and metagenomic data. by Ankit Gupta, Rohan Kapil, Darshan B Dhakan, Vineet K Sharma

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Predictability of varicocele repair success: preliminary results of a machine learning-based approach by Andrea Crafa, Marco Russo, Rossella Cannarella, Murat Gül, Michele Compagnone, Laura M Mongioì, Vittorio Cannarella, Rosita A Condorelli, Sandro La Vignera, Aldo E Calogero

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Multi-Scale Graph Attention Network Based on Encoding Decomposition for Electricity Consumption Prediction by Sheng Huang, Huakun Que, Lukun Zeng, Jingxu Yang, Kaihong Zheng

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