Literatura académica sobre el tema "Generation"
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Artículos de revistas sobre el tema "Generation"
Keeling, Sarah. "Advising the Millennial Generation". NACADA Journal 23, n.º 1-2 (1 de marzo de 2003): 30–36. http://dx.doi.org/10.12930/0271-9517-23.1-2.30.
Texto completoMöhr, J. R. "The Generation of Generations". Methods of Information in Medicine 24, n.º 02 (abril de 1985): 55–56. http://dx.doi.org/10.1055/s-0038-1635363.
Texto completoBhatia, Rahul, Vishakha Gautam y Yash Kumar Ankush Garg. "Dynamic Question Answer Generator: An Enhanced Approach to Question Generation". International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (30 de junio de 2019): 785–89. http://dx.doi.org/10.31142/ijtsrd23730.
Texto completoShin, Hayoung y Sungbum Cho. "MZ Generation's Perception of University Evaluation: Focusing on the Difference Between Generations". Korean Society of Culture and Convergence 45, n.º 1 (31 de enero de 2023): 497–510. http://dx.doi.org/10.33645/cnc.2023.01.45.01.497.
Texto completoDURMAZ, Şerife y Bülent OKUMUŞ. "GENERATION DIFFERENCES IN BUSINESS LIFE AND GENERATION Z". IEDSR Association 6, n.º 16 (15 de noviembre de 2021): 47–68. http://dx.doi.org/10.46872/pj.448.
Texto completoWang, Xi Bo, Ya Lin Lei y Min Yao. "China's Thermal Power Generation Forecasting Based on Generalized Weng Model". Advanced Materials Research 960-961 (junio de 2014): 503–9. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.503.
Texto completoHunter, J. Paul. "Canon of Generations, Generation of Canons". Modern Language Studies 18, n.º 1 (1988): 38. http://dx.doi.org/10.2307/3194699.
Texto completoCandranegara, I. Made Wimas, I. Putu Eka Mahardhika y I. Wayan Mirta. "Partisipasi Generasi Milenial dalam Kancah Politik Nasional 2019". Jurnal Bali Membangun Bali 2, n.º 1 (26 de abril de 2018): 21–30. http://dx.doi.org/10.51172/jbmb.v2i1.36.
Texto completoKumar, Naveen, Vaibhav Setia y Prakhar Bajpai. "Analysis of Energy Generation from Exhaust of Automobile using Peltier Thermoelectric Generator". International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (30 de abril de 2019): 749–51. http://dx.doi.org/10.31142/ijtsrd22986.
Texto completoSmithson, Mark, Jennifer L. M. Thorson, Ingrid Sadler-Riggleman, Daniel Beck, Michael K. Skinner y Mark Dybdahl. "Between-Generation Phenotypic and Epigenetic Stability in a Clonal Snail". Genome Biology and Evolution 12, n.º 9 (1 de septiembre de 2020): 1604–15. http://dx.doi.org/10.1093/gbe/evaa181.
Texto completoTesis sobre el tema "Generation"
Malmaeus, Michelle y Mehdi Hassan. "Generations Y:s förhållningssätt till arbetslivet : En studie om den nya generationen medarbetare". Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-28139.
Texto completoSanhueza, Carolina y Paula Falkevinge. "Generation Z : Den sökande generationen / Generation@ / Netgeneration". Thesis, Stockholms universitet, Institutionen för pedagogik och didaktik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-104751.
Texto completoThe reason that we have chosen to examine Generation Z is that we as a future career counselors will work with these young people. Generation Z is still young but it does not prevent them from being online on various social media. Never before has a generation have so easy to find what they are looking for. This generation is in our interest because as future career counselor will we try to tie together all the information provided.
Henningsson, Anna. "Generating Generations - Automatic generation of 3D characters by simulation of genetic inheritance". Thesis, Umeå universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-128414.
Texto completoRonnfeldt, Jane. "Generational marketing: Baby boomers, Generation X and the net generation". CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/2019.
Texto completoGovitvatana, Wipanut Venique. "Generation gap in the workplace between Baby Boomers and Generation X". Online version, 2001. http://www.uwstout.edu/lib/thesis/2001/2001govitvatanaw.pdf.
Texto completoWang, Zesen. "Generative Adversarial Networks in Text Generation". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264575.
Texto completoDet generativa motståndsnätverket (GAN) introducerades först 2014 och det har studerats samt utvecklats starkt under senare år. GAN har uppnått stor framgång för problem som inte kan definieras uttryckligen av en matematisk ekvation, som att generera riktiga bilder. Men eftersom GAN ursprungligen var utformat för att lösa problemet i en kontinuerlig domän (till exempel bildgenerering), utvecklas GAN:s prestanda i textgenerering eftersom meningarna är naturligt diskreta (ingen interpolering finns mellan “hej" och “hejdå"). I examensarbetet introduceras grundläggande begrepp i naturlig språkbearbetning, generativa modeller och förstärkningslärande. För varje del introduceras några bästa tillgängliga metoder och vanligt förekommande mätvärden. Examensarbetet föreslår också två modeller för slumpmässig meningsgenerering respektive sammanfattningsgenerering baserat på sammanhang. Båda modellerna involverar tekniken för GAN och är tränade på storskaliga datamängder. På grund av begränsningen av resurser är modellen designad och tränad som en prototyp. Därför kan den inte heller uppnå bästa möjliga prestanda. Resultaten visar ändå lovande prestanda för tillämpningen av GAN i textgenerering. Den föreslår också en ny modellbaserad metrik för att utvärdera kvaliteten på sammanfattningen som hänvisar både till källtexten och sammanfattningen. Examensarbetets källkod kommer snart att finnas tillgänglig i GitHubförvaret: https://github.com/WangZesen/Text-Generation-GAN.
Björkman, Lovisa y Elin Myhrman. "Röster från tre generationer : En kvalitativ studie kring generationer på arbetsplatsen". Thesis, Malmö universitet, Malmö högskola, Institutionen för konst, kultur och kommunikation (K3), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-40089.
Texto completoThe purpose of the study is to research Generation X (1964 – 1979), Y (1980 – 1995) and Z´s (1996 – 2012) needs and wishes for the workplace, what they have for positive and negative attitudes towards motivation, relations and work environment. The study was conducted by conducting qualitative research, doing a content analysis, and using previous research of generations. The qualitative research was carried out by doing interviews with 12 persons, out of which four were from each generation. Models such as Maslow's hierarchy of needs, the Two-factor theory and Reinforcement theory has been used in the study. The study has found that having knowledge of the complexity of generational differences can be a deciding factor if an organisation is successful or not. In many ways there is a consensus between the generations, but there are also differences. Regarding the participants needs and attitudes it was identified that participants from Generation Z are very driven by inner motivation and working towards a purpose. They are driven to create change in society through their work. Important needs are familiar relationships and constructive feedback. Participants from Generation Y was also driven by a purpose but was also motivated by outer motivations such as a salary that can reinforce their hard work. Participants from Generation X were the most driven by outer motivations. In conclusion, the study recommends organisations to invest resources in the complexity of generational knowledge in the workplace to understand to understand the employees needs in the workplace. If an understanding is managed is it possible to make use of the employees’ competence better and create successful teams, as well to prepare the workplace for the future multigenerational workplace.
El, Chababi Maria. "Are They Really Different? The Entrepreneurial Processes from the Perspective of Different Generations of Immigrant Entrepreneurs". Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31692.
Texto completoBerman, Alan. "Generative adversarial networks for fine art generation". Master's thesis, University of Cape Town, 2020. http://hdl.handle.net/11427/32458.
Texto completoSorkhei, Moein. "Conditional Generative Flow for Street Scene Generation". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288891.
Texto completoGenerativ modellering är en viktig gren av maskininlärning som innebär utformning av modeller som kan lära sig hur data genereras och därmed kan syn- tetisera nya data. Med de senaste framstegen inom djup inlärning har generati- va modeller förbättrats avsevärt och framgångsrikt tillämpats inom en mängd olika domäner, inklusive datorsyn, videogenerering, ljudgenerering och till och med inom medicinska tillämpningar. I detta projekt studerar vi moderna generativa modeller och deras kategorisering och undersöker deras tillämpning i datorsyn där vi använder villkor för att vägleda modellen för att generera bilder.
Libros sobre el tema "Generation"
Generation 1989?: Zur Kritik einer populären Zeitdiagnose. Bielefeld: Transcript, 2012.
Buscar texto completoO'Connor, Maureen. Generation to generation. London: Cassell, 1993.
Buscar texto completoSandra, Martz y Coe Shirley 1956-, eds. Generation to generation. Watsonville, CA: Papier-Mache Press, 1998.
Buscar texto completoO'Connor, Maureen. Generation to generation. London: Cassell in association with the LinkAge Trust, 1993.
Buscar texto completoRyan, Maureen. Generation to generation. London: Cassell Educational, 1992.
Buscar texto completoBecker, H. A. De toekomst van de verloren generatie. Amsterdam: Meulenhoff, 1997.
Buscar texto completoLeigh, Claire y Joel Mullan. Generation crisis: Promoting justice between generations. London: Fabian Society, 2012.
Buscar texto completoMerrell, James L. From generation to generation. St. Louis, Mo: Christian Board of Publication, 1992.
Buscar texto completoTomasov, Agnes. From generation to generation. [Toronto]: Azrieli Foundation, 2010.
Buscar texto completoMao, Xudong y Qing Li. Generative Adversarial Networks for Image Generation. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6048-8.
Texto completoCapítulos de libros sobre el tema "Generation"
Kanz, Christine. "Generation — Generatio — Verwandtschaft". En Kleist-Jahrbuch 2010, 202–19. Stuttgart: J.B. Metzler, 2010. http://dx.doi.org/10.1007/978-3-476-00563-2_13.
Texto completoEinramhof-Florian, Helene. "Generation Corona, Generation Krise, Generation Lockdown, Generation Dauerkrise, Generation Aufbruch". En Fit für die jungen Generationen am Arbeitsplatz, 53–57. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-39149-2_5.
Texto completoRabe-Kleberg, Ursula. "Von Generation zu Generation?" En Bildungsreform als Sozialreform, 77–88. Wiesbaden: VS Verlag für Sozialwissenschaften, 2005. http://dx.doi.org/10.1007/978-3-322-91642-6_6.
Texto completoSiritsky, Nachshon. "From Generation to Generation". En Reframing Trauma Through Social Justice, 180–99. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003379591-11.
Texto completoMao, Xudong y Qing Li. "GANs for Image Generation". En Generative Adversarial Networks for Image Generation, 9–52. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-6048-8_2.
Texto completoArnold, Ludwig. "Generation". En Springer Monographs in Mathematics, 49–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-12878-7_2.
Texto completoSteinbach, Anja. "Generation". En Grundbegriffe der Soziologie, 129–31. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-20978-0_26.
Texto completoPeck, Stewart B., Carol C. Mapes, Netta Dorchin, John B. Heppner, Eileen A. Buss, Gustavo Moya-Raygoza, Marjorie A. Hoy et al. "Generation". En Encyclopedia of Entomology, 1589. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_1053.
Texto completoToepfer, Georg. "Generation". En Encyclopedia of Renaissance Philosophy, 1–5. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-02848-4_259-1.
Texto completoKočandrle, Radim y Dirk L. Couprie. "Generation". En Apeiron, 73–85. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49754-9_7.
Texto completoActas de conferencias sobre el tema "Generation"
Zhang, Boyu, Xin Wang y Kai Liu. "Generative Model for Node Generation". En ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3404555.3404599.
Texto completoRichards, Timothy, Edward K. Walters, J. Eliot B. Moss, Trek Palmer y Charles C. Weems. "Towards universal code generator generation". En Distributed Processing Symposium (IPDPS). IEEE, 2008. http://dx.doi.org/10.1109/ipdps.2008.4536404.
Texto completoTian, Yu, Xi Peng, Long Zhao, Shaoting Zhang y Dimitris N. Metaxas. "CR-GAN: Learning Complete Representations for Multi-view Generation". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/131.
Texto completoMaduskar, Advait, Aniket Ladukar, Shubhankar Gore y Neha Patwari. "Music Generation using Deep Generative Modelling". En 2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW). IEEE, 2020. http://dx.doi.org/10.1109/iccdw45521.2020.9318683.
Texto completoBhattacharjee, Rajat Kanti, Meghali Nandi, Amrit Jha, Gunajit Kalita y Ferdous Ahmed Barbhuiya. "Handloom Design Generation Using Generative Networks". En 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9190925.
Texto completoLetizia, Nunzio Alexandro. "Identity Generation with Deep Generative Models". En ROSUS 2023 - Računalniška obdelava slik in njena uporaba v Sloveniji 2023. Univerza v Mariboru, Univerzitetna založba, 2023. http://dx.doi.org/10.18690/um.feri.4.2023.3.
Texto completoLiu, Dong, Yu Hong, Jianmin Yao y Guodong Zhou. "Question Generation via Generative Adversarial Networks". En 2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 2023. http://dx.doi.org/10.1109/ijcnn54540.2023.10191871.
Texto completoKrause, Ben, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq Joty, Richard Socher y Nazneen Fatema Rajani. "GeDi: Generative Discriminator Guided Sequence Generation". En Findings of the Association for Computational Linguistics: EMNLP 2021. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.findings-emnlp.424.
Texto completoChen, Yijia. "Speech Generation by Generative Adversarial Network". En 2021 2nd International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2021. http://dx.doi.org/10.1109/icbase53849.2021.00086.
Texto completoStecanella, Priscilla A. J., Messias A. A. Faria, Elder G. Domingues, Pedro H. G. Gomes, Wesley P. Calixto y Aylton J. Alves. "Eletricity generation using thermoelectric generator - TEG". En 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC). IEEE, 2015. http://dx.doi.org/10.1109/eeeic.2015.7165502.
Texto completoInformes sobre el tema "Generation"
Adams, D. J. y S. G. Berenyi. Turbine-generator set development for power generation. Office of Scientific and Technical Information (OSTI), abril de 1997. http://dx.doi.org/10.2172/656889.
Texto completoYamashiro, Neil. Generation X. Fort Belvoir, VA: Defense Technical Information Center, abril de 1998. http://dx.doi.org/10.21236/ada344977.
Texto completoDavid, Patty. Generation X Snapshots. AARP Research, diciembre de 2015. http://dx.doi.org/10.26419/res.00116.000.
Texto completoDavid, Patty. Generation X Demographics. AARP Research, diciembre de 2015. http://dx.doi.org/10.26419/res.00116.001.
Texto completoDavid, Patty. Generation X Finances. AARP Research, diciembre de 2015. http://dx.doi.org/10.26419/res.00116.002.
Texto completoDavid, Patty. Generation X Health. AARP Research, diciembre de 2015. http://dx.doi.org/10.26419/res.00116.003.
Texto completoDavid, Patty. Generation X Technology. AARP Research, diciembre de 2015. http://dx.doi.org/10.26419/res.00116.004.
Texto completoZhao, Zilai y Charles Gough. Next Generation Inverter. Office of Scientific and Technical Information (OSTI), abril de 2016. http://dx.doi.org/10.2172/1261839.
Texto completoSouers, P. C. New generation detonics. Office of Scientific and Technical Information (OSTI), diciembre de 1996. http://dx.doi.org/10.2172/515977.
Texto completoWilson, Ronald B. y Roger F. Sies. Next generation documents. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4830.
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