Zeitschriftenartikel zum Thema „Module learning with errors“
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Carle, Myriam S., Rebecca Visser und Alison B. Flynn. „Evaluating students’ learning gains, strategies, and errors using OrgChem101's module: organic mechanisms—mastering the arrows“. Chemistry Education Research and Practice 21, Nr. 2 (2020): 582–96. http://dx.doi.org/10.1039/c9rp00274j.
Der volle Inhalt der QuelleHarahap, Safinatul Hasanah, Airi Rizki Syahputri, Dania Priskilla Hura und Rahel Novita Simanihuruk. „Analysis of Errors in Using Punctuation and Writing in Indonesian in Physics Learning Modules in Middle Schools: Case Study in Semarang City“. QISTINA: Jurnal Multidisiplin Indonesia 3, Nr. 1 (01.06.2024): 866–71. http://dx.doi.org/10.57235/qistina.v3i1.2450.
Der volle Inhalt der QuellePak, JuGeon, JooHwa Lee und MyungSuk Lee. „Developing a Learning Data Collection Platform for Learning Analytics in Online Education“. Applied Sciences 12, Nr. 11 (26.05.2022): 5412. http://dx.doi.org/10.3390/app12115412.
Der volle Inhalt der QuelleHongli, Chen. „Design and Application of English Grammar Error Correction System Based on Deep Learning“. Security and Communication Networks 2021 (23.11.2021): 1–9. http://dx.doi.org/10.1155/2021/4920461.
Der volle Inhalt der QuelleJiao, Fengming, Jiao Song, Xin Zhao, Ping Zhao und Ru Wang. „A Spoken English Teaching System Based on Speech Recognition and Machine Learning“. International Journal of Emerging Technologies in Learning (iJET) 16, Nr. 14 (28.07.2021): 68. http://dx.doi.org/10.3991/ijet.v16i14.24049.
Der volle Inhalt der QuelleMohammad Shahid, Sunil Gupta und MS. Sofia Pillai. „Machine Learning-Based False Positive Software Vulnerability Analysis“. Global Journal of Innovation and Emerging Technology 1, Nr. 1 (15.06.2022): 29–35. http://dx.doi.org/10.58260/j.iet.2202.0105.
Der volle Inhalt der QuelleWang, Binquan, Muhammad Asim, Guoqi Ma und Ming Zhu. „Central Feature Learning for Unsupervised Person Re-identification“. International Journal of Pattern Recognition and Artificial Intelligence 35, Nr. 08 (05.03.2021): 2151007. http://dx.doi.org/10.1142/s0218001421510071.
Der volle Inhalt der QuelleChen, Chi-Feng, Jian-Rong Chen und Ting-Yu Chen. „Identification of the Angle Errors of the LED Parallel-Light Module in PCB Exposure Device by Using Neural Network Learning Algorithms“. Coatings 12, Nr. 11 (26.10.2022): 1619. http://dx.doi.org/10.3390/coatings12111619.
Der volle Inhalt der QuelleGeha, Rabih, Robert L. Trowbridge, Gurpreet Dhaliwal und Andrew P. J. Olson. „Teaching about diagnostic errors through virtual patient cases: a pilot exploration“. Diagnosis 5, Nr. 4 (27.11.2018): 223–27. http://dx.doi.org/10.1515/dx-2018-0023.
Der volle Inhalt der QuelleJia, Wenjuan, Jiang Zhang und Baocang Wang. „Hardness of Module-LWE with Semiuniform Seeds from Module-NTRU“. IET Information Security 2023 (23.10.2023): 1–16. http://dx.doi.org/10.1049/2023/2969432.
Der volle Inhalt der QuelleRamadhan, Muhammad Sabir, und Harmayani Harmayani. „Development of The Project-Based Learning Model In Making Teaching Modules for Courses Multimedia Technology and Animation“. Journal of Computer Networks, Architecture and High Performance Computing 6, Nr. 1 (12.02.2024): 449–60. http://dx.doi.org/10.47709/cnahpc.v6i1.3519.
Der volle Inhalt der QuellePurnamasari, Heny, Asrori Asrori und Warneri Warneri. „The Development of Learning Module in Social Knowledge on Economic Activity Based on Living Value Education of Responsibility Value“. JETL (Journal Of Education, Teaching and Learning) 4, Nr. 2 (30.09.2019): 389. http://dx.doi.org/10.26737/jetl.v4i2.1922.
Der volle Inhalt der QuelleKrouska, Akrivi, Christos Troussas und Cleo Sgouropoulou. „A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software“. Computers 10, Nr. 11 (29.10.2021): 140. http://dx.doi.org/10.3390/computers10110140.
Der volle Inhalt der QuelleMcCoy, Lise, Joy H. Lewis, Harvey Simon, Denise Sackett, Tala Dajani, Christine Morgan und Aaron Hunt. „Learning to Speak Up for Patient Safety: Interprofessional Scenarios for Training Future Healthcare Professionals“. Journal of Medical Education and Curricular Development 7 (Januar 2020): 238212052093546. http://dx.doi.org/10.1177/2382120520935469.
Der volle Inhalt der QuelleYousif, Jabar H., Hussein A. Kazem, Haitham Al-Balushi, Khaled Abuhmaidan und Reem Al-Badi. „Artificial Neural Network Modelling and Experimental Evaluation of Dust and Thermal Energy Impact on Monocrystalline and Polycrystalline Photovoltaic Modules“. Energies 15, Nr. 11 (04.06.2022): 4138. http://dx.doi.org/10.3390/en15114138.
Der volle Inhalt der QuelleGu, Peng, Ping Zhang, Mingfei Jiang, Xiaofeng Qiu, Xinyan Wang, Chun Du und Tianyou Peng. „Research on Carbon Foam Image Segmentation Based on Deep Learning“. Wireless Communications and Mobile Computing 2022 (14.07.2022): 1–10. http://dx.doi.org/10.1155/2022/5965302.
Der volle Inhalt der QuelleGuan, Sheng, Hanchao Ma, Sutanay Choudhury und Yinghui Wu. „GEDet“. Proceedings of the VLDB Endowment 14, Nr. 12 (Juli 2021): 2875–78. http://dx.doi.org/10.14778/3476311.3476367.
Der volle Inhalt der QuelleNashaat, Mona, Aindrila Ghosh, James Miller und Shaikh Quader. „TabReformer: Unsupervised Representation Learning for Erroneous Data Detection“. ACM/IMS Transactions on Data Science 2, Nr. 3 (17.05.2021): 1–29. http://dx.doi.org/10.1145/3447541.
Der volle Inhalt der QuelleDai, Zhiqi. „The Investigation of Machine Learning in Grammar Correction“. Lecture Notes in Education Psychology and Public Media 35, Nr. 1 (03.01.2024): 311–16. http://dx.doi.org/10.54254/2753-7048/35/20232156.
Der volle Inhalt der QuelleMa, Zhenshu, Bo Yang und Yuhang Zhang. „Source File Tracking Localization: A Fault Localization Method for Deep Learning Frameworks“. Electronics 12, Nr. 22 (09.11.2023): 4579. http://dx.doi.org/10.3390/electronics12224579.
Der volle Inhalt der QuelleLambert, Sherwood Lane. „Auto Accessories, Inc.: An Educational Case on Online Transaction Processing (OLTP) and Controls as Compared to Batch Processing and Controls“. Journal of Emerging Technologies in Accounting 14, Nr. 2 (01.06.2017): 59–81. http://dx.doi.org/10.2308/jeta-51844.
Der volle Inhalt der QuelleMaggioni, Viviana, Manuela Girotto, Emad Habib und Melissa A. Gallagher. „Building an Online Learning Module for Satellite Remote Sensing Applications in Hydrologic Science“. Remote Sensing 12, Nr. 18 (16.09.2020): 3009. http://dx.doi.org/10.3390/rs12183009.
Der volle Inhalt der QuelleTOLU, SILVIA, MAURICIO VANEGAS, JESÚS A. GARRIDO, NICETO R. LUQUE und EDUARDO ROS. „ADAPTIVE AND PREDICTIVE CONTROL OF A SIMULATED ROBOT ARM“. International Journal of Neural Systems 23, Nr. 03 (29.04.2013): 1350010. http://dx.doi.org/10.1142/s012906571350010x.
Der volle Inhalt der QuelleAhmad, Arimuliani. „Developing Cooperative Learning Based E-Module to Teach Basic English Grammar of the First Semester of English Study Program Students at FKIP – UIR“. J-SHMIC : Journal of English for Academic 4, Nr. 2 (12.09.2017): 1–11. http://dx.doi.org/10.25299/jshmic.2017.vol4(2).536.
Der volle Inhalt der QuelleLi, Mingxuan, Ou Li, Guangyi Liu und Ce Zhang. „An Automatic Modulation Recognition Method with Low Parameter Estimation Dependence Based on Spatial Transformer Networks“. Applied Sciences 9, Nr. 5 (11.03.2019): 1010. http://dx.doi.org/10.3390/app9051010.
Der volle Inhalt der QuelleWang, Zihe, Linzhou Li, Tan Zhang, Tengfei Liu, Ming Li, Zifan Wang und Zixiang Li. „Emulating Artistic Expressions in Robot Painting: A Stroke-Based Approach“. Applied Sciences 14, Nr. 12 (18.06.2024): 5265. http://dx.doi.org/10.3390/app14125265.
Der volle Inhalt der QuelleHe, Haiyin, und Darchia Maia. „Application of Grammar Error Detection Method for English Composition Based on Machine Learning“. Security and Communication Networks 2022 (26.05.2022): 1–9. http://dx.doi.org/10.1155/2022/7957365.
Der volle Inhalt der QuelleChen, Baifan, Hong Chen, Baojun Song und Grace Gong. „TIF-Reg: Point Cloud Registration with Transform-Invariant Features in SE(3)“. Sensors 21, Nr. 17 (27.08.2021): 5778. http://dx.doi.org/10.3390/s21175778.
Der volle Inhalt der QuelleMukherjee, Anisha, Aikata Aikata, Ahmet Can Mert, Yongwoo Lee, Sunmin Kwon, Maxim Deryabin und Sujoy Sinha Roy. „ModHE: Modular Homomorphic Encryption Using Module Lattices“. IACR Transactions on Cryptographic Hardware and Embedded Systems 2024, Nr. 1 (04.12.2023): 527–62. http://dx.doi.org/10.46586/tches.v2024.i1.527-562.
Der volle Inhalt der QuelleTan, Yuanjun, Quanling Liu, Tingting Liu, Hai Liu, Shengming Wang und Zengzhao Chen. „RQ-OSPTrans: A Semantic Classification Method Based on Transformer That Combines Overall Semantic Perception and “Repeated Questioning” Learning Mechanism“. Applied Sciences 14, Nr. 10 (17.05.2024): 4259. http://dx.doi.org/10.3390/app14104259.
Der volle Inhalt der QuelleChen, Bingren. „Point Cloud Registration via Heuristic Reward Reinforcement Learning“. Stats 6, Nr. 1 (06.02.2023): 268–78. http://dx.doi.org/10.3390/stats6010016.
Der volle Inhalt der QuelleYongco, Jayson O., und Jasper M. Del Valle. „Development and Evaluation of Instructional Module for Special Program in Journalism“. International Journal of Educational Management and Development Studies 3, Nr. 4 (06.12.2022): 97–117. http://dx.doi.org/10.53378/352948.
Der volle Inhalt der QuellePark, Min-Ji, Eul-Bum Lee, Seung-Yeab Lee und Jong-Hyun Kim. „A Digitalized Design Risk Analysis Tool with Machine-Learning Algorithm for EPC Contractor’s Technical Specifications Assessment on Bidding“. Energies 14, Nr. 18 (17.09.2021): 5901. http://dx.doi.org/10.3390/en14185901.
Der volle Inhalt der QuelleLiang, Gen, Xiaoxue Guo, Guoxi Sun und Jingcheng Fang. „A User-Oriented Intelligent Access Selection Algorithm in Heterogeneous Wireless Networks“. Computational Intelligence and Neuroscience 2020 (24.11.2020): 1–20. http://dx.doi.org/10.1155/2020/8828355.
Der volle Inhalt der QuelleLi, Yuangang, Tao Guo, Qinghua Li und Xinyue Liu. „Optimized Feature Extraction for Sample Efficient Deep Reinforcement Learning“. Electronics 12, Nr. 16 (18.08.2023): 3508. http://dx.doi.org/10.3390/electronics12163508.
Der volle Inhalt der QuelleHufri, Hufri, Sintia Sintia und Sri Indrawati Prihatin Ningsih. „Analisis Praktikalitas Modul Fisika Mengintegrasikan Kemampuan Berpikir Kreatif Pada Materi Hukum Newton“. JURNAL EKSAKTA PENDIDIKAN (JEP) 6, Nr. 2 (30.11.2022): 185–94. http://dx.doi.org/10.24036/jep/vol6-iss2/653.
Der volle Inhalt der QuelleSun, Jie, Zhaoying Ding, Xiaoshuang Chen, Qi Chen, Yincheng Wang, Kaiqiao Zhan und Ben Wang. „CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems“. Proceedings of the AAAI Conference on Artificial Intelligence 38, Nr. 8 (24.03.2024): 9027–34. http://dx.doi.org/10.1609/aaai.v38i8.28752.
Der volle Inhalt der QuelleEroshenko, Stanislav, und Alexandra Khalyasmaa. „Weather data errors analysis in solar power stations generation forecasting“. E3S Web of Conferences 51 (2018): 02002. http://dx.doi.org/10.1051/e3scconf/20185102002.
Der volle Inhalt der QuelleEroshenko, Stanislav, und Alexandra Khalyasmaa. „Weather data errors analysis in solar power stations generation forecasting“. E3S Web of Conferences 51 (2018): 02002. http://dx.doi.org/10.1051/e3sconf/20185102002.
Der volle Inhalt der QuellePu, Yongming, und Hongming Chen. „Exercise Recommendation Model Based on Cognitive Level and Educational Big Data Mining“. Journal of Function Spaces 2022 (27.07.2022): 1–11. http://dx.doi.org/10.1155/2022/3845419.
Der volle Inhalt der QuelleChoi, So-Won, Eul-Bum Lee und Jong-Hyun Kim. „The Engineering Machine-Learning Automation Platform (EMAP): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects“. Sustainability 13, Nr. 18 (17.09.2021): 10384. http://dx.doi.org/10.3390/su131810384.
Der volle Inhalt der QuelleLi, Jie, Runran Li, Yuanjie Jia und Zhixin Zhang. „Prediction of I–V Characteristic Curve for Photovoltaic Modules Based on Convolutional Neural Network“. Sensors 20, Nr. 7 (09.04.2020): 2119. http://dx.doi.org/10.3390/s20072119.
Der volle Inhalt der QuelleYin, Yunsheng, und Linhai Xu. „MGCNet: Low-cost MEMS gyro correction network“. Journal of Physics: Conference Series 2820, Nr. 1 (01.08.2024): 012038. http://dx.doi.org/10.1088/1742-6596/2820/1/012038.
Der volle Inhalt der QuelleWang, Jinhong, und Wei Yao. „An End-to-End Geometric Characterization-aware Semantic Instance Segmentation Network for ALS Point Clouds“. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2-2024 (11.06.2024): 435–42. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-2024-435-2024.
Der volle Inhalt der QuelleMeritet, Danielle, M. Elena Gorman, Katy L. Townsend, Patrick Chappell, Laura Kelly und Duncan S. Russell. „Investigating the Effects of Error Management Training versus Error Avoidance Training on the Performance of Veterinary Students Learning Blood Smear Analysis“. Journal of Veterinary Medical Education 48, Nr. 3 (Juni 2021): 319–29. http://dx.doi.org/10.3138/jvme.2019-0055.
Der volle Inhalt der QuelleRosmawati, Rosmawati, Zarwan Zarwan, Yuni Astuti, Dessi Novita Sari, Zulbahri Zulbahri und Erianti Erianti. „E-module design of sport modification and cybergogy-based small games“. Linguistics and Culture Review 6 (24.01.2022): 264–74. http://dx.doi.org/10.21744/lingcure.v6ns3.2143.
Der volle Inhalt der QuelleZhang, Qi, Wenjin Sun, Huaihai Guo, Changming Dong und Hong Zheng. „A Transfer Learning-Enhanced Generative Adversarial Network for Downscaling Sea Surface Height through Heterogeneous Data Fusion“. Remote Sensing 16, Nr. 5 (22.02.2024): 763. http://dx.doi.org/10.3390/rs16050763.
Der volle Inhalt der QuelleRamírez-Carvajal, L. E., K. Puerto-López und S. Castro-Casadiego. „Computational tool for learning electrostatic physics through the development of a disruptive methodology“. Journal of Physics: Conference Series 2159, Nr. 1 (01.01.2022): 012005. http://dx.doi.org/10.1088/1742-6596/2159/1/012005.
Der volle Inhalt der QuelleTeixeira, Joaquim V., Hai Nguyen, Derek J. Posselt, Hui Su und Longtao Wu. „Using machine learning to model uncertainty for water vapor atmospheric motion vectors“. Atmospheric Measurement Techniques 14, Nr. 3 (09.03.2021): 1941–57. http://dx.doi.org/10.5194/amt-14-1941-2021.
Der volle Inhalt der QuelleFayaz, Muhammad, Israr Ullah und DoHyeun Kim. „An Optimized Fuzzy Logic Control Model Based on a Strategy for the Learning of Membership Functions in an Indoor Environment“. Electronics 8, Nr. 2 (28.01.2019): 132. http://dx.doi.org/10.3390/electronics8020132.
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