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Mostrando 361 - 380 Resultados de 3,348 Para Buscar '"Machine learning"', tiempo de consulta: 0.34s Limitar resultados
  1. 361
    IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection
    Materias: “...machine learning...”
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  2. 362
    Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision
    Materias: “...machine learning...”
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  3. 363
    Machine-Learning-Based Carbon Footprint Management in the Frozen Vegetable Processing Industry
    por Magdalena Scherer, Piotr Milczarski
    Publicado 2021
    Materias: “...machine learning...”
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  4. 364
    Forecasting the Bearing Capacity of the Driven Piles Using Advanced Machine-Learning Techniques
    Materias: “...machine learning...”
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  5. 365
    The Economic Loss Prediction of Flooding Based on Machine Learning and the Input-Output Model
    por Anqi Chen, Shibing You, Jiahao Li, Huan Liu
    Publicado 2021
    Materias: “...machine learning...”
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  6. 366
    Material Thickness Classification Using Scattering Parameters, Dielectric Constants, and Machine Learning
    por Pham-The Hien, Ic-Pyo Hong
    Publicado 2021
    “... of Standards and Technology iterative method. The attained classification results from both machine learning...”
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  7. 367
    Machine Learning Applications in Modelling and Analysis of Base Pressure in Suddenly Expanded Flows
    Materias: “...machine learning...”
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  8. 368
    Identifying Engineering Undergraduates’ Learning Style Profiles Using Machine Learning Techniques
    Materias: “...machine learning...”
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  9. 369
    Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation
    Materias: “...domain-guided machine learning...”
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  10. 370
    Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods
    por  Zhenyi Ye, Yuan Liu, Qiliang Li
    Publicado 2021
    Materias: “...machine learning...”
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  11. 371
    A Novel Machine Learning-Based Price Forecasting for Energy Management Systems
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  12. 372
    Predicting Heritability of Oil Palm Breeding Using Phenotypic Traits and Machine Learning
    Materias: “...machine learning...”
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  13. 373
    Spaceborne GNSS-R for Sea Ice Classification Using Machine Learning Classifiers
    Materias: “...machine learning...”
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  14. 374
    Simplified Pediatric Index of Mortality 3 Score by Explainable Machine Learning Algorithm
    “... for the assessment of mortality risk in PICU patients. With the recent advances in explainable machine learning...”
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  15. 375
    Machine Learning Prediction of Death in Critically Ill Patients With Coronavirus Disease 2019
    por Matthew M. Churpek, MD, MPH, PhD, Shruti Gupta, MD, MPH, Alexandra B. Spicer, MS, Salim S. Hayek, MD, Anand Srivastava, MD, MPH, Lili Chan, MD, MSCR, Michal L. Melamed, MD, MHS, Samantha K. Brenner, MD, MPH, Jared Radbel, MD, Farah Madhani-Lovely, MD, Pavan K. Bhatraju, MD, MSc, Anip Bansal, MD, Adam Green, MD, MBA, Nitender Goyal, MD, Shahzad Shaefi, MD, MPH, Chirag R. Parikh, MD, PhD, Matthew W. Semler, MD, David E. Leaf, MD, MMSc, for the STOP-COVID Investigators, Carol P. Walther, Samaya J. Anumudu, Justin Arunthamakun, Kathleen F. Kopecky, Gregory P. Milligan, Peter A. McCullough, ThuyDuyen Nguyen, Shahzad Shaefi, Megan L. Krajewski, Sidharth Shankar, Ameeka Pannu, Juan D. Valencia, Sushrut S. Waikar, Zoe A. Kibbelaar, Ambarish M. Athavale, Peter Hart, Oyintayo Ajiboye, Matthew Itteera, Adam Green, Jean-Sebastien Rachoin, Christa A. Schorr, Lisa Shea, Daniel L. Edmonston, Christopher L. Mosher, Alexandre M. Shehata, Zaza Cohen, Valerie Allusson, Gabriela Bambrick-Santoyo, Noor ul aain Bhatti, Bijal Metha, Aquino Williams, Samantha K. Brenner, Patricia Walters, Ronaldo C. Go, Keith M. Rose, Miguel A. Hernán, Amy M. Zhou, Ethan C. Kim, Rebecca Lisk, Lili Chan, Kusum S. Mathews, Steven G. Coca, Deena R. Altman, Aparna Saha, Howard Soh, Huei Hsun Wen, Sonali Bose, Emily Leven, Jing G. Wang, Gohar Mosoyan, Girish N. Nadkarni, Allon N. Friedman, John Guirguis, Rajat Kapoor, Christopher Meshberger, Chirag R. Parikh, Brian T. Garibaldi, Celia P. Corona-Villalobos, Yumeng Wen, Steven Menez, Rubab F. Malik, Carmen Elena Cervantes, Samir C. Gautam, Crystal Chang, H. Bryant Nguyen, Afshin Ahoubim, Leslie F. Thomas, Pramod K. Guru, Paul A. Bergl, Yan Zhou, Jesus Rodriguez, Jatan A. Shah, Mrigank S. Gupta, Princy N. Kumar, Deepa G. Lazarous, Seble G. Kassaye, Michal L. Melamed, Tanya S. Johns, Ryan Mocerino, Kalyan Prudhvi, Denzel Zhu, Rebecca V. Levy, Yorg Azzi, Molly Fisher, Milagros Yunes, Kaltrina Sedaliu, Ladan Golestaneh, Maureen Brogan, Jyotsana Thakkar, Neelja Kumar, Michael J. Ross, Michael Chang, Ritesh Raichoudhury, Edward J. Schenck, Soo Jung Cho, Maria Plataki, Sergio L. Alvarez-Mulett, Luis G. Gomez-Escobar, Di Pan, Stefi Lee, Jamuna Krishnan, William Whalen, David Charytan, Ashley Macina, Daniel W. Ross, Anand Srivastava, Alexander S. Leidner, Carlos Martinez, Jacqueline M. Kruser, Richard G. Wunderink, Alexander J. Hodakowski, Juan Carlos Q. Velez, Eboni G. Price-Haywood, Luis A. Matute-Trochez, Anna E. Hasty, Muner MB. Mohamed, Rupali S. Avasare, David Zonies, David E. Leaf, Shruti Gupta, Rebecca M. Baron, Meghan E. Sise, Erik T. Newman, Samah Abu Omar, Kapil K. Pokharel, Shreyak Sharma, Harkarandeep Singh, Simon Correa Gaviria, Tanveer Shaukat, Omer Kamal, Wei Wang, Heather Yang, Jeffery O. Boateng, Meghan Lee, Ian A. Strohbehn, Jiahua Li, Saif A. Muhsin, Ernest I. Mandel, Ariel L. Mueller, Nicholas S. Cairl, Farah Madhani-Lovely, Chris Rowan, Farah Madhai-Lovely, Vasil Peev, Jochen Reiser, John J. Byun, Andrew Vissing, Esha M. Kapania, Zoe Post, Nilam P. Patel, Joy-Marie Hermes, Anne K. Sutherland, Amee Patrawalla, Diana G. Finkel, Barbara A. Danek, Sowminya Arikapudi, Jeffrey M. Paer, Jared Radbel, Sonika Puri, Jag Sunderram, Matthew T. Scharf, Ayesha Ahmed, Ilya Berim, Jayanth Vatson, Shuchi Anand, Joseph E. Levitt, Pablo Garcia, Suzanne M. Boyle, Rui Song, Jingjing Zhang, Moh’d A. Sharshir, Vadym V. Rusnak, Anip Bansal, Amber S. Podoll, Michel Chonchol, Sunita Sharma, Ellen L. Burnham, Arash Rashidi, Rana Hejal, Eric Judd, Laura Latta, Ashita Tolwani, Timothy E. Albertson, Jason Y. Adams, Steven Y. Chang, Rebecca M. Beutler, Carl E. Schulze, Etienne Macedo, Harin Rhee, Kathleen D. Liu, Vasantha K. Jotwani, Jay L. Koyner, Chintan V. Shah, Vishal Jaikaransingh, Stephanie M. Toth-Manikowski, Min J. Joo, James P. Lash, Javier A. Neyra, Nourhan Chaaban, Alfredo Iardino, Elizabeth H. Au, Jill H. Sharma, Marie Anne Sosa, Sabrina Taldone, Gabriel Contreras, David De La Zerda, Hayley B. Gershengorn, Salim S. Hayek, Pennelope Blakely, Hanna Berlin, Tariq U. Azam, Husam Shadid, Michael Pan, Patrick O’ Hayer, Chelsea Meloche, Rafey Feroze, Kishan J. Padalia, Jeff Leya, John P. Donnelly, Andrew J. Admon, Jennifer E. Flythe, Matthew J. Tugman, Brent R. Brown, Amanda K. Leonberg-Yoo, Ryan C. Spiardi, Todd A. Miano, Meaghan S. Roche, Charles R. Vasquez, Amar D. Bansal, Natalie C. Ernecoff, Csaba P. Kovesdy, Miklos Z. Molnar, S. Susan Hedayati, Mridula V. Nadamuni, Sadaf S. Khan, Duwayne L. Willett, Samuel A.P. Short, Amanda D. Renaghan, Pavan Bhatraju, A. Bilal Malik, Matthew W. Semler, Anitha Vijayan, Christina Mariyam Joy, Tingting Li, Seth Goldberg, Patricia F. Kao, Greg L. Schumaker, Nitender Goyal, Anthony J. Faugno, Greg L. Schumaker, Caroline M. Hsu, Asma Tariq, Leah Meyer, Marta Christov, Francis P. Wilson, Tanima Arora, Ugochukwu Ugwuowo
    Publicado 2021
    “... 2019. The primary outcome was 28-day inhospital mortality. Machine learning models and a simple tool...”
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  16. 376
    Hybrid Machine Learning and Estimation-Based Flight Trajectory Prediction in Terminal Airspace
    Materias: “...machine learning...”
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  17. 377
    A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems
    Materias: “...machine learning...”
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  18. 378
    An effective distributed approach based machine learning for energy negotiation in networked microgrids
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  19. 379
    Recycled integrated circuit detection using reliability analysis and machine learning algorithms
    “... (BTI). In this work, three machine learning methods, namely K‐means clustering, back propagation neural...”
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  20. 380
    Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
    “...Abstract As predicting the trajectory of COVID-19 is challenging, machine learning models could...”
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