Literatura académica sobre el tema "Efficiency of the learning process"
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Artículos de revistas sobre el tema "Efficiency of the learning process"
Seijo, Sandra, Inés del Campo, Javier Echanobe, and Javier García-Sedano. "Electric Efficiency Modelling of a Complex Cogeneration Process Using Extreme Learning Machines." International Journal of Machine Learning and Computing 5, no. 5 (2015): 399–403. http://dx.doi.org/10.7763/ijmlc.2015.v5.541.
Texto completoBurger Pagnussat, Millana, Eduardo Silva Lopes, and Rachael D. Seidler. "Behavioural profile effect of forestry machine operators in the learning process." Journal of Forest Science 65, No. 4 (2019): 144–49. http://dx.doi.org/10.17221/27/2019-jfs.
Texto completoHAYRAPETYAN, Lusine. "Art-technologies as innovative approaches in the learning process." Scientific Bulletin of Flight Academy. Section: Pedagogical Sciences 10 (2021): 102–6. http://dx.doi.org/10.33251/2522-1477-2021-10-102-106.
Texto completoYusufova, Madinakhan, and Sevara Jumanova. "EFFICIENCY OF COOPERATIVE LANGUAGE LEARNING." JOURNAL OF UNIVERSAL SCIENCE RESEARCH 1, no. 5 (2023): 77–82. https://doi.org/10.5281/zenodo.7886126.
Texto completoMergenthaler, Wolfgang, Daniel Jaroszewski, Salah-Eddine Morsili, and Benedikt Sturm. "Machine Learning Can Maximize Efficiency in an Industrial Process." International Journal of Industrial Engineering 8, no. 1 (2021): 14–20. http://dx.doi.org/10.14445/23499362/ijie-v8i1p103.
Texto completoShavkatovich, Rakhmonov Mirzokhid. "INCREASING LESSON EFFICIENCY WITH THE USE OF DIGITAL TECHNOLOGIES IN THE EDUCATIONAL PROCESS." International Journal of Pedagogics 03, no. 05 (2023): 157–60. http://dx.doi.org/10.37547/ijp/volume03issue05-30.
Texto completoVlasov, D. V. "The factors of efficiency of distance learning." Izvestiya MGTU MAMI 8, no. 3-5 (2014): 153–57. http://dx.doi.org/10.17816/2074-0530-67505.
Texto completoVolkova, Liudmyla. "COMMUNICATIVE ASPECT OF FOREIGN LANGUAGE LEARNING PROCESS." Naukovì zapiski Nacìonalʹnogo unìversitetu «Ostrozʹka akademìâ». Serìâ «Fìlologìâ» 1, no. 12(80) (2021): 163–65. http://dx.doi.org/10.25264/2519-2558-2021-12(80)-163-165.
Texto completoLamanauskas, Vincentas, Violeta Šlekienė, Loreta Ragulienė, and Renata Bilbokaitė. "DIGITAL TEACHING/LEARNING CONTENT IN NATURAL SCIENCE EDUCATION PROCESS: EFFICIENCY EVALUATION." GAMTAMOKSLINIS UGDYMAS / NATURAL SCIENCE EDUCATION 8, no. 2 (2011): 8–26. http://dx.doi.org/10.48127/gu-nse/11.8.08a.
Texto completoShoenbill, Kimberly, Yiqiang Song, Nichelle L. Cobb, Marc K. Drezner, and Eneida A. Mendonca. "IRB Process Improvements: A Machine Learning Analysis." Journal of Clinical and Translational Science 1, no. 3 (2017): 176–83. http://dx.doi.org/10.1017/cts.2016.25.
Texto completoTesis sobre el tema "Efficiency of the learning process"
Bui, Thang Duc. "Efficient deterministic approximate Bayesian inference for Gaussian process models." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/273833.
Texto completoSnelson, Edward Lloyd. "Flexible and efficient Gaussian process models for machine learning." Thesis, University College London (University of London), 2007. http://discovery.ucl.ac.uk/1445855/.
Texto completoIkeuchi, Daiki. "Data-efficient Machine Learning for Geometry Modelling in Cold Spray Additive Manufacturing." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23253.
Texto completoGuss, Herman, and Linus Rustas. "Applying Machine Learning Algorithms for Anomaly Detection in Electricity Data : Improving the Energy Efficiency of Residential Buildings." Thesis, Uppsala universitet, Byggteknik och byggd miljö, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415507.
Texto completoДолгова, Наталія Олександрівна, Наталия Александровна Долгова, and Nataliia Oleksandrivna Dolgova. "The efficiency of e-learning program in a process of professional training specialists of physical education and sport in the EU countries." Thesis, Sumy State Uiversity, 2016. http://essuir.sumdu.edu.ua/handle/123456789/48267.
Texto completoFakih, Saif. "A learning approach to obtain efficient testing strategies in medical diagnosis." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000309.
Texto completoБушуева, К. С., та K. S. Bushueva. "Внедрение машинного обучения в системы электронного документооборота : магистерская диссертация". Master's thesis, б. и, 2020. http://hdl.handle.net/10995/93436.
Texto completoKohring, Bajo. "Övning : Strategier, resurser och effektivitet ur ett designteoretiskt perspektiv." Thesis, Karlstads universitet, Institutionen för konstnärliga studier, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-41147.
Texto completoSouza, Iberê Guarani de. "Os programas de melhoria realmente importam?: uma avaliação em uma empresa de manufatura." Universidade do Vale do Rio dos Sinos, 2014. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4456.
Texto completoNajibullah, Khan Nazreen Begum. "Process Efficiency Optimisation of Cascade LNG Process." Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/75842.
Texto completoLibros sobre el tema "Efficiency of the learning process"
Senge, Peter M. The fifth discipline: The art and practice of the learning organization. Doubleday/Currency, 1990.
Buscar texto completoPilavachi, P. A., ed. Energy Efficiency in Process Technology. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1454-7.
Texto completoFederighi, Paolo, and Francesca Torlone, eds. Low skilled take their qualifications "one step up". Firenze University Press, 2010. http://dx.doi.org/10.36253/978-88-6453-179-3.
Texto completoGreat Britain. Central Office of Information. and Great Britain. Energy Efficiency Office., eds. Process plant insulation and fuel efficiency. Energy Efficiency Office, 1986.
Buscar texto completoGreat Britain. Energy Efficiency Office., ed. Process plant insulation and fuel efficiency. Energy Efficiency Office, 1994.
Buscar texto completoBiggs, John B. Process of learning. 3rd ed. Prentice-Hall of Australia, 1993.
Buscar texto completoGupta, Rajinder M., and Peter Coxhead, eds. Cultural Diversity and Learning Efficiency. Palgrave Macmillan UK, 1988. http://dx.doi.org/10.1007/978-1-349-19131-4.
Texto completoGopalakrishnan, B. Energy efficiency in industrial process heating systems. Knovel, 2009.
Buscar texto completoDixon, Valerie. Learning competency architecture: 6Cs learning process. Learnware Design, 2008.
Buscar texto completoMarian, McCabe, Lewis Richard, and Togher Family Centre, eds. Lifelong learning: "The process". Togher Family Centre, 1998.
Buscar texto completoCapítulos de libros sobre el tema "Efficiency of the learning process"
Walther, Christian, Frank Beneke, Luise Merbach, Hubertus Siebald, Oliver Hensel, and Jochen Huster. "Machine-specific Approach for Automatic Classification of Cutting Process Efficiency." In Machine Learning for Cyber Physical Systems. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48838-6_12.
Texto completoFrey, Christian M. M., Simon Rauch, Oliver Stritzel, and Moike Buck. "Process-aware Learning." In Unlocking Artificial Intelligence. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64832-8_6.
Texto completoGonzález, Inés, Enric Serradell, and David Castillo. "An Approach to the Relationship between Efficiency and Process Management." In Information Systems, E-learning, and Knowledge Management Research. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35879-1_8.
Texto completoNayak, Manjushree, and Subhakanta Panda. "Machine Learning for Nano Process Optimization: Enhancing Efficiency in Nanofabrication." In Information Systems Engineering and Management. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77296-2_3.
Texto completoTao, Jun, Wangyang Zhang, Xin Li, et al. "Efficient Process Variation Characterization by Virtual Probe." In Machine Learning in VLSI Computer-Aided Design. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04666-8_7.
Texto completoSaedon, J. B., M. F. Othman, N. H. Mohamad Nor, M. S. Mohd Syawal, M. S. Meon, and Muhammad Razin Raghazli. "Enhancing WEDM Efficiency by Teaching–Learning-Based Optimization for Machining Process Parameter Optimization." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8819-8_44.
Texto completoRedis, Andrei Cosmin, Mohammadreza Fani Sani, Bahram Zarrin, and Andrea Burattin. "Skill Learning Using Process Mining for Large Language Model Plan Generation." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82225-4_48.
Texto completoNaushad, Mohammad, and Abdul Malik Syed. "An Investigation of Teaching and Learning Process Efficiency in a Business School Using DEA." In Explore Business, Technology Opportunities and Challenges After the Covid-19 Pandemic. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08954-1_16.
Texto completoOlatunji, Sunday O., Abdulrahman S. Almuhaidib, Abdulaziz S. Alhuwaishil, et al. "Automating Compliance Evidence Extraction with Machine Learning." In Proceedings in Technology Transfer. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8588-9_3.
Texto completoFolino, Francesco, Gianluigi Folino, Massimo Guarascio, and Luigi Pontieri. "Explainable Process Deviance Discovery with Data-Efficient Deep Learning." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81241-5_6.
Texto completoActas de conferencias sobre el tema "Efficiency of the learning process"
Bloor, Maximilian, Tom Savage, Calvin Tsay, Ehecatl Antonio Del Rio Chanona, and Max Mowbray. "A Subset Selection Strategy for Gaussian Process Q-Learning of Process Optimization and Control." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.126649.
Texto completoDorneanu, Bogdan, Vasileios K. Mappas, and Harvey Arellano-Garcia. "A Novel Approach to Gradient Evaluation and Efficient Deep Learning: A Hybrid Method." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.120349.
Texto completoBraniff, Austin, Fengqi You, and Yuhe Tian. "Enhanced Reinforcement Learning-driven Process Design via Quantum Machine Learning." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.149501.
Texto completoParanjpe, Nikhil, Shruti Kshirsagar, and Ramazan Asmatulu. "Integrating Machine Learning Models to Enhance the Efficiency of a Desalination Process." In 2025 IEEE Green Technologies Conference (GreenTech). IEEE, 2025. https://doi.org/10.1109/greentech62170.2025.10977633.
Texto completoQueiroz, Luana P., Olve R. Bruaset, Ana M. Ribeiro, and Idelfonso B. R. Nogueira. "Optimization of Shell and Tube Heat Exchangers Using Reinforcement Learning." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.192011.
Texto completoYu, Songhyun, Sangho Yoon, Sungjin Lim, et al. "Semiconductor image analysis using data-efficient machine learning." In Metrology, Inspection, and Process Control XXXIX, edited by Matthew J. Sendelbach and Nivea G. Schuch. SPIE, 2025. https://doi.org/10.1117/12.3050624.
Texto completoMahmood, Farhat, Sarah Namany, and Rajesh Govindan. "Data-Driven Reinforcement Learning for Greenhouse Temperature Control." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.189272.
Texto completoIqbal, Imam M., Xinyu Wang, Isabell Viedt, and Leonhard Urbas. "Leveraging Machine Learning for Real-Time Performance Prediction of Near Infrared Separators in Waste Sorting Plant." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.130911.
Texto completoCherif, Manar, Bechir Bouaziz, and Faouzi Bacha. "Analysis of the Weather Impact on the Photovoltaic Panel Efficiency Based on Machine Learning Techniques." In 2024 IEEE International Multi-Conference on Smart Systems & Green Process (IMC-SSGP). IEEE, 2024. https://doi.org/10.1109/imc-ssgp63352.2024.10919865.
Texto completoTerrito, Kyle, Peter Vallet, and Jose Romagnoli. "Towards Self-Tuning PID Controllers: A Data-Driven, Reinforcement Learning Approach for Industrial Automation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.132857.
Texto completoInformes sobre el tema "Efficiency of the learning process"
Osadchyi, Viacheslav V., Hanna Y. Chemerys, Kateryna P. Osadcha, Vladyslav S. Kruhlyk, Serhii L. Koniukhov, and Arnold E. Kiv. Conceptual model of learning based on the combined capabilities of augmented and virtual reality technologies with adaptive learning systems. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4417.
Texto completoClements, Michael, Robert W. Rich, and Joseph Tracy. An Investigation into the Uncertainty Revision Process of Professional Forecasters. Federal Reserve Bank of Cleveland, 2024. http://dx.doi.org/10.26509/frbc-wp-202419.
Texto completoSchellinger, Adam, Jenna Zacamy, Jeremy Roschelle, Avery Closser, and Cristina Zepeda. Considerations for Conducting Research in Digital Learning Platforms. Digital Promise, 2024. http://dx.doi.org/10.51388/20.500.12265/210.
Texto completoNakasone, Eduardo, Lorena Alcázar, and Máximo Torero. Provision of Public Services and Welfare of the Poor: Learning from an Incomplete Electricity Privatization Process in Rural Peru. Inter-American Development Bank, 2007. http://dx.doi.org/10.18235/0011287.
Texto completoSalter, R., Quyen Dong, Cody Coleman, et al. Data Lake Ecosystem Workflow. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40203.
Texto completoСтупнік, М. І., В. С. Моркун, and З. П. Бакум. Information and Communication Technologies in the Process of Mining Engineer Training. Криворізький державний педагогічний університет, 2013. http://dx.doi.org/10.31812/0564/405.
Texto completoBailey Bond, Robert, Pu Ren, James Fong, Hao Sun, and Jerome F. Hajjar. Physics-informed Machine Learning Framework for Seismic Fragility Analysis of Steel Structures. Northeastern University, 2024. http://dx.doi.org/10.17760/d20680141.
Texto completoTriakina, Olga O., Olena O. Pavlenko, Nataliia P. Volkova, and Darja Kassim. Usage of E-learning Tools in Self-education of Government Officers Involved in Global Trade Activities. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2670.
Texto completoDe Michele, Roberto, and Juan Cruz Vieyra. From Fishing to Catching: Developing Actionable Red Flags in Public Procurement to Prevent and Control Corruption. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004595.
Texto completoHlushak, Oksana M., Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, and Oksana S. Lytvyn. The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects). [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3860.
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