Статті в журналах з теми "Online deep learning"
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Wu, Sheng, Ancong Wu, and Wei-Shi Zheng. "Online deep transferable dictionary learning." Pattern Recognition 118 (October 2021): 108007. http://dx.doi.org/10.1016/j.patcog.2021.108007.
Murray‐Johnson, Kayon, Andrea Munro, and Racheal Popoola. "Immersive deep learning activities online." New Directions for Adult and Continuing Education 2021, no. 169 (March 2021): 35–49. http://dx.doi.org/10.1002/ace.20412.
Lee, Hea-Jin, and Eun-ok Baek. "Facilitating Deep Learning in a Learning Community." International Journal of Technology and Human Interaction 8, no. 1 (January 2012): 1–13. http://dx.doi.org/10.4018/jthi.2012010101.
Xu, Jie, Yang Liu, Jinzhong Liu, and Zuguang Qu. "Effectiveness of English Online Learning Based on Deep Learning." Computational Intelligence and Neuroscience 2022 (April 13, 2022): 1–10. http://dx.doi.org/10.1155/2022/1310194.
Zhang, Si-si, Jian-wei Liu, Xin Zuo, Run-kun Lu, and Si-ming Lian. "Online deep learning based on auto-encoder." Applied Intelligence 51, no. 8 (January 9, 2021): 5420–39. http://dx.doi.org/10.1007/s10489-020-02058-8.
Du, Bingqian, Zhiyi Huang, and Chuan Wu. "Adversarial Deep Learning for Online Resource Allocation." ACM Transactions on Modeling and Performance Evaluation of Computing Systems 6, no. 4 (December 31, 2021): 1–25. http://dx.doi.org/10.1145/3494526.
Zinovyeva, Elizaveta, Wolfgang Karl Härdle, and Stefan Lessmann. "Antisocial online behavior detection using deep learning." Decision Support Systems 138 (November 2020): 113362. http://dx.doi.org/10.1016/j.dss.2020.113362.
Jain, Prisha, and Chaya Ravindra. "Classifying Emotional Engagement in Online Learning Via Deep Learning Architecture." International Journal of Advanced Engineering, Management and Science 10, no. 5 (2024): 063–70. http://dx.doi.org/10.22161/ijaems.105.2.
D, Swaroop Gowda, and Ravi Dandu. "Machine Learning and Deep Learning Algorithm for Online Bullying Identification." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (June 30, 2023): 2708–11. http://dx.doi.org/10.22214/ijraset.2023.53951.
Musa Yaagoup, Khalid Mohammed, and Mohamed Elhafiz Mustafa. "Online Arabic Handwriting Characters Recognition using Deep Learning." IJARCCE 9, no. 10 (October 30, 2020): 83–92. http://dx.doi.org/10.17148/ijarcce.2020.91014.
Cerezci, Feyza, Serap Kazan, Muhammed Ali Oz, Cemil Oz, Tugrul Tasci, Selman Hizal, and Caglayan Altay. "Online metallic surface defect detection using deep learning." Emerging Materials Research 9, no. 4 (December 1, 2020): 1266–73. http://dx.doi.org/10.1680/jemmr.20.00197.
Al-Adhaileh, Mosleh Hmoud, Theyazn H. H. Aldhyani, and Ans D. Alghamdi. "Online Troll Reviewer Detection Using Deep Learning Techniques." Applied Bionics and Biomechanics 2022 (June 8, 2022): 1–10. http://dx.doi.org/10.1155/2022/4637594.
Rosie, Anthony. "Online pedagogies and the promotion of “deep learning”." Information Services & Use 20, no. 2-3 (April 1, 2000): 109–16. http://dx.doi.org/10.3233/isu-2000-202-306.
SAMATHA, JULURI, PRASHANTH REDDY VOLADRI, SAGAR DHANUNJAY, and SAI KOUNDINYA GATTU. "VERIFICATION FOR ONLINE SIGNATURE BIOMETRICS USING DEEP LEARNING." i-manager's Journal on Computer Science 8, no. 3 (2020): 12. http://dx.doi.org/10.26634/jcom.8.3.18074.
Filius, Renée Marianne, Renske A. M. de Kleijn, Sabine G. Uijl, Frans J. Prins, Harold V. M. Rijen, and Diederick E. Grobbee. "Promoting deep learning through online feedback in SPOCs." Frontline Learning Research 6, no. 2 (November 12, 2018): 92–113. http://dx.doi.org/10.14786/flr.v6i2.350.
Chowanda, Andry, Nadia Nadia, and Lie Maximilianus Maria Kolbe. "Identifying clickbait in online news using deep learning." Bulletin of Electrical Engineering and Informatics 12, no. 3 (June 1, 2023): 1755–61. http://dx.doi.org/10.11591/eei.v12i3.4444.
Wu, Yun. "Online course resource recommendation based on deep learning." Procedia Computer Science 228 (2023): 638–46. http://dx.doi.org/10.1016/j.procs.2023.11.074.
Wu, Hankang. "Deep learning in multiplayer online battle arena games." Applied and Computational Engineering 38, no. 1 (January 22, 2024): 80–85. http://dx.doi.org/10.54254/2755-2721/38/20230533.
Shani, Lior, Tom Zahavy, and Shie Mannor. "Online Apprenticeship Learning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (June 28, 2022): 8240–48. http://dx.doi.org/10.1609/aaai.v36i8.20798.
Krishna, Dr N. Gopala. "FACIAL EXPRESSION DETECTION USING DEEP LEARNING." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (April 28, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem32013.
Sugden, Nicole, Robyn Brunton, Jasmine MacDonald, Michelle Yeo, and Ben Hicks. "Evaluating student engagement and deep learning in interactive online psychology learning activities." Australasian Journal of Educational Technology 37, no. 2 (May 10, 2021): 45–65. http://dx.doi.org/10.14742/ajet.6632.
Naidu, B. Ramesh, Naresh Tangudu, Chandra Sekhar, K. Kavitha, B. V. Ramana, P. Venkateswarlu Reddy, Jayavardhanarao Sahukaru, and Raj Ganesh Lopinti. "Toxic Comment Classification using Deep Learning." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (September 1, 2023): 93–104. http://dx.doi.org/10.17762/ijritcc.v11i7.7834.
Li, Pingyang, and Juan Zhang. "Online mobile learning resource recommendation method based on deep reinforcement learning." International Journal of Innovation and Sustainable Development 1, no. 1 (2023): 1—thisLastPage. http://dx.doi.org/10.1504/ijisd.2023.10056670.
Ding, Hui, Yajun Chen, and Linling Wang. "College English Online Teaching Model Based on Deep Learning." Security and Communication Networks 2021 (December 21, 2021): 1–11. http://dx.doi.org/10.1155/2021/8919320.
Wang, Chunyan. "Emotion Recognition of College Students’ Online Learning Engagement Based on Deep Learning." International Journal of Emerging Technologies in Learning (iJET) 17, no. 06 (March 29, 2022): 110–22. http://dx.doi.org/10.3991/ijet.v17i06.30019.
Schlagenhauf, Tobias, Nicholas Ammann, and Jürgen Fleischer. "Online Learning für die präventive Verschleißdetektion/Online Learning for preventive wear detection – Online Retraining of Deep Learning models for unknown wear patterns." wt Werkstattstechnik online 111, no. 07-08 (2021): 475–80. http://dx.doi.org/10.37544/1436-4980-2021-07-08-7.
Kankevičiūtė, Eglė, Milita Songailaitė, Bohdan Zhyhun, and Justina Mandravickaitė. "LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS." Automation of technological and business processes 15, no. 3 (September 12, 2023): 20–29. http://dx.doi.org/10.15673/atbp.v15i3.2621.
Ma, XiaoRui. "Influence Study of Learners’ Independent Learning Ability on Learning Performance in Online Learning." International Journal of Emerging Technologies in Learning (iJET) 17, no. 09 (May 10, 2022): 201–13. http://dx.doi.org/10.3991/ijet.v17i09.30925.
Chae, Byungjoo, Jinsun Park, Tae-Hyun Kim, and Donghyeon Cho. "Online Learning for Reference-Based Super-Resolution." Electronics 11, no. 7 (March 28, 2022): 1064. http://dx.doi.org/10.3390/electronics11071064.
Fahid, Fahmid Morshed, Jonathan Rowe, Yeojin Kim, Shashank Srivastava, and James Lester. "Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (March 24, 2024): 23191–99. http://dx.doi.org/10.1609/aaai.v38i21.30365.
Goud, Sai Pavan. "Cyber Bullying Detection Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (May 31, 2024): 3911–15. http://dx.doi.org/10.22214/ijraset.2024.62270.
Makris, Christos, and Michael Angelos Simos. "OTNEL: A Distributed Online Deep Learning Semantic Annotation Methodology." Big Data and Cognitive Computing 4, no. 4 (October 29, 2020): 31. http://dx.doi.org/10.3390/bdcc4040031.
Hasugian, Leshivan Savenjer, and Suharjito Suharjito. "Fraud Detection for Online Interbank Transaction Using Deep Learning." Syntax Literate ; Jurnal Ilmiah Indonesia 8, no. 6 (June 20, 2023): 4263–75. http://dx.doi.org/10.36418/syntax-literate.v8i6.12627.
Cals, Bram, Yingqian Zhang, Remco Dijkman, and Claudy van Dorst. "Solving the online batching problem using deep reinforcement learning." Computers & Industrial Engineering 156 (June 2021): 107221. http://dx.doi.org/10.1016/j.cie.2021.107221.
Lu, Ange, Ruixue Guo, Qiucheng Ma, Lingzhi Ma, Yunsheng Cao, and Jun Liu. "Online sorting of drilled lotus seeds using deep learning." Biosystems Engineering 221 (September 2022): 118–37. http://dx.doi.org/10.1016/j.biosystemseng.2022.06.015.
Zhao, Hang, Qijin She, Chenyang Zhu, Yin Yang, and Kai Xu. "Online 3D Bin Packing with Constrained Deep Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (May 18, 2021): 741–49. http://dx.doi.org/10.1609/aaai.v35i1.16155.
Du, Jianxia, Byron Havard, and Heng Li. "Dynamic online discussion: task‐oriented interaction for deep learning." Educational Media International 42, no. 3 (September 2005): 207–18. http://dx.doi.org/10.1080/09523980500161221.
Fan, Zipei, Xuan Song, Tianqi Xia, Renhe Jiang, Ryosuke Shibasaki, and Ritsu Sakuramachi. "Online Deep Ensemble Learning for Predicting Citywide Human Mobility." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, no. 3 (September 18, 2018): 1–21. http://dx.doi.org/10.1145/3264915.
Ke, Fengfeng, and Kui Xie. "Toward deep learning for adult students in online courses." Internet and Higher Education 12, no. 3-4 (December 2009): 136–45. http://dx.doi.org/10.1016/j.iheduc.2009.08.001.
Austin, Daniel, Ashutosh Sanzgiri, Kannan Sankaran, Ryan Woodard, Amit Lissack, and Samuel Seljan. "Classifying sensitive content in online advertisements with deep learning." International Journal of Data Science and Analytics 10, no. 3 (March 20, 2020): 265–76. http://dx.doi.org/10.1007/s41060-020-00212-6.
Hacker, Douglas J., and Dale S. Niederhauser. "Promoting Deep and Durable Learning in the Online Classroom." New Directions for Teaching and Learning 2000, no. 84 (2000): 53–63. http://dx.doi.org/10.1002/tl.848.
and Biomechanics, Applied Bionics. "Retracted: Online Troll Reviewer Detection Using Deep Learning Techniques." Applied Bionics and Biomechanics 2023 (August 16, 2023): 1. http://dx.doi.org/10.1155/2023/9757592.
Zhong, Yuan, Jing Zhou, Ping Li, and Jie Gong. "Dynamically evolving deep neural networks with continuous online learning." Information Sciences 646 (October 2023): 119411. http://dx.doi.org/10.1016/j.ins.2023.119411.
Shiva, Sreenivasan, Minghui Hu, and Ponnuthurai Nagaratnam Suganthan. "Online learning using deep random vector functional link network." Engineering Applications of Artificial Intelligence 125 (October 2023): 106676. http://dx.doi.org/10.1016/j.engappai.2023.106676.
Lin, Wei, Lei Shu, Weibo Zhong, Wei Lu, Daoyi Ma, and Yizhen Meng. "Online classification of soybean seeds based on deep learning." Engineering Applications of Artificial Intelligence 123 (August 2023): 106434. http://dx.doi.org/10.1016/j.engappai.2023.106434.
全, 洁. "Development of Online Deep Learning Questionnaire for College Students." Advances in Psychology 14, no. 05 (2024): 543–48. http://dx.doi.org/10.12677/ap.2024.145346.
Gratz, Erin, Bettyjo Bouchey, Megan Kohler, Monica L. Simonsen, and Jessica L. Knott. "Creating Authentic Learning Through Online Personal Learning Networks." International Journal of Online Pedagogy and Course Design 11, no. 2 (April 2021): 31–47. http://dx.doi.org/10.4018/ijopcd.2021040103.
Tzeng, Jian-Wei, Chia-An Lee, Nen-Fu Huang, Hao-Hsuan Huang, and Chin-Feng Lai. "MOOC Evaluation System Based on Deep Learning." International Review of Research in Open and Distributed Learning 23, no. 1 (February 1, 2022): 21–40. http://dx.doi.org/10.19173/irrodl.v22i4.5417.
Febria, Nyka Dwi, and Lulu Hasnadianti Putri. "Tutorial and Lecture Activities on Deep Online Learning in Dentistry." Insisiva Dental Journal: Majalah Kedokteran Gigi Insisiva 13, no. 1 (May 21, 2024): 32–40. http://dx.doi.org/10.18196/di.v13i1.21843.
Yao, Yanyan. "A Study on the Factors Influencing College Students' Autonomous Learning Ability from the Perspective of Online Learning." Journal of Intelligence and Knowledge Engineering 1, no. 3 (September 2023): 39–47. http://dx.doi.org/10.62517/jike.202304306.