Developing advanced datadriven framework to predict the bearing capacity of piles on rock by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Fabián Danilo Reyes Silva, José Luis Allauca Palta, José Luis Llamuca Llamuca, Siva Avudaiappan

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Novel radiogenomics approach to predict and characterize pneumonitis in stage III NSCLC by Lukas Delasos, Mohammadhadi Khorrami, Vidya S. Viswanathan, Khalid Jazieh, Yifu Ding, Pushkar Mutha, Kevin Stephans, Amit Gupta, Nathan A. Pennell, Pradnya D. Patil, Kristin Higgins, Anant Madabhushi

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A Framework to Predict the Quality of a Video for Popularity on Social Media by Abqa Javed, Nimra Abid, Muhammad Shoaib, Muhammad Farrukh Shahzad, Fahad Sabah, Raheem Sarwar

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Using host traits to predict reservoir host species of rabies virus. by Katherine E L Worsley-Tonks, Katherine E L Worsley-Tonks, Luis E Escobar, Roman Biek, Mariana Castaneda-Guzman, Meggan E Craft, Daniel G Streicker, Lauren A White, Nicholas M Fountain-Jones

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Automated prediction of fibroblast phenotypes using mathematical descriptors of cellular features by Alex Khang, Abigail Barmore, Georgios Tseropoulos, Kaustav Bera, Dilara Batan, Kristi S. Anseth

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Understanding and predicting trends in adsorption energetics on monolayer transition metal dichalcogenides by Brian H. Lee, Jameela Fatheema, Deji Akinwande, Wennie Wang

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Association Between Education Levels and Sedentary Behavior With Depression Among US Adults by Chun Yang, Tiankuo Gao, Yichen Zhang, Cuicui Feng, Kai Zhang

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A systematic review of neural network applications for groundwater level prediction by Samuel K. Afful, Cyril D. Boateng, Emmanuel Ahene, Jeffrey N. A. Aryee, David D. Wemegah, Solomon S. R. Gidigasu, Akyana Britwum, Marian A. Osei, Jesse Gilbert, Haoulata Touré, Vera Mensah

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Prediction of remission of type 2 diabetes mellitus after bariatric surgery by O. V. Kornyushin, I. S. Sakeian, E. N. Kravchuk, D. I. Vasilevsky, I. N. Danilov, A. E. Neimark

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Passive acoustic surveys for predicting species' distributions: Optimising detection probability. by Stiele V Hagens, Anthony R Rendall, Desley A Whisson

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Compositional criteria to predict columnar to equiaxed transitions in metal additive manufacturing by Ryan Brooke, Duyao Zhang, Dong Qiu, Mark A. Gibson, Mark Easton

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Semi-supervised prediction of protein fitness for data-driven protein engineering by Alicia Olivares-Gil, José A. Barbero-Aparicio, Juan J. Rodríguez, José F. Díez-Pastor, César García-Osorio, Mehdi D. Davari

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Predicting guest satisfaction and willingness to pay premium prices for green hotels by Jin Yang, Mohammad Nurul Hassan Reza, Abdullah Al Mamun, Muhammad Mehedi Masud, Mara Ridhuan Che Abdul Rahman

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Predicting the Behavior of Road Users in Rural Areas for Self-Driving Cars by S. A. Ivanov, B. Rasheed

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MBLSTM is a contextual interaction refined method for time series prediction by Weihan Qiu, Fangjie Zhu, Tianyong Hao, Maojie Wang, Runyue Huang

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Analysis and Predictions of Spread, Recovery, and Death Caused by COVID-19 in India by Rajani Kumari, Sandeep Kumar, Ramesh Chandra Poonia, Vijander Singh, Linesh Raja, Vaibhav Bhatnagar, Pankaj Agarwal

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PERFORMANCE COMPARISON OF CLASSICAL ALGORITHMS AND DEEP NEURAL NETWORKS FOR TUBERCULOSIS PREDICTION by Gilgen Mate Landry, Rodolphe Nsimba Malumba, Fiston Chrisnovi Balanganayi Kabutakapua, Bopatriciat Boluma Mangata

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Comparative convolutional neural networks for perovskite solar cell PCE predictions by Milan Harth, D. Kishore Kumar, Said Kassou, Kenza El Idrissi, Ritesh Kant Gupta, Yonatan Daniel, Ofry Makdasi, Iris Visoly-Fisher, Alessio Gagliardi

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Prediction of transposable element derived enhancers using chromatin modification profiles. by Ahsan Huda, Eishita Tyagi, Leonardo Mariño-Ramírez, Nathan J Bowen, Daudi Jjingo, I King Jordan

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In silico prediction of multi-epitope vaccine candidates against Mycobacterium leprae by Almas Shabrina, Asep Iin Nur Indra, Sonny Feisal Rinaldi, Fusvita Merdekawati

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