An Improved Image Processing Based on Deep Learning Backpropagation Technique by Yang Gao, Yue Tian

“…Using one algorithm of deep learning (DL), such as neural network backpropagation, increases the performance of encryption by learning the parameters and weights derived from the image itself. …”
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Privacy Auditing in Differential Private Machine Learning: The Current Trends by Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols

Subjects: “…differential private machine learning…”
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Cryptocurrency Financial Risk Analysis Based on Deep Machine Learning by Si Chen

“…Development of deep learning algorithms opens the horizons for the development of electronic businesses that use digital currency. …”
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Features of using social networks in self-learning foreign languages by O. Shumskyi

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Using Self-Efficacy and Reflection to Improve Piano Learning Performance by Suqi Dong, Genutė Gedvilienė

“…There are many influences on the piano playing learning process. Research on combining it with self-regulated learning (SRL) methods has rarely been reported. …”
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Antenna Optimization Based on Auto-Context Broad Learning System by Wei-Tong Ding, Fei Meng, Yu-Bo Tian, Hui-Ning Yuan

“…To enhance the efficiency of antenna optimization, surrogate model methods can usually be used to replace the full-wave electromagnetic simulation software. Broad learning system (BLS), as an emerging network with strong extraction ability and remarkable computational efficiency, has revolutionized the conventional artificial intelligence (AI) methods and overcome the shortcoming of excessive time-consuming training process in deep learning (DL). …”
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THE FLIPPED CLASSROOM: THE PRACTICE OF LEARNING ENGLISH FROM NURSING STUDENTS by Chairuddin Chairuddin, Arbaiyah Arbaiyah, Evi Zulida

Subjects: “…flipped classroom, language learning, speaking english.…”
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Instance Transfer Learning with Multisource Dynamic TrAdaBoost by Qian Zhang, Haigang Li, Yong Zhang, Ming Li

“…Since the transfer learning can employ knowledge in relative domains to help the learning tasks in current target domain, compared with the traditional learning it shows the advantages of reducing the learning cost and improving the learning efficiency. …”
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Successes and challenges of learning to support children post-COVID-19 by Megan Adams, Sanjuana Rodriguez, Karla Ramirez, Allison Garefino, Virginie Jackson

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Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges by Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, Mebruk Kedir, Atawulrahman Shafiqurrahman, NASIR SAEED

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Application of concentrated learning technology in the professional training of forensic experts by D. V. Klymchuk, S. V. Ihnatov

“…The structure of concentrated learning as a technology of the pedagogical process, as well as the resources that can be released to increase the productivity of learning through the use of concentrated learning technology, have been studied. …”
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Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning. by Mohammad Neamul Kabir, Li Rong Wang, Wilson Wen Bin Goh

“…Integrating this approach into an analysis allows for the design of better, more meaningful experiments and the development of smarter validation methods, ensuring that the models learn in a meaningful way.…”
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Comprehensive Analysis of Masking Techniques in Molecular Graph Representation Learning by Bonyou Koo, Sunyoung Kwon

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Deep Learning of Temperature – Dependent Stress – Strain Hardening Curves by Nikolić, Filip, Čanađija, Marko

Subjects: “…deep learning…”
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The effect of mind mapping-based learning model on listening skills by Elisabet Janul

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Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples by Qi Zhu, Ning Yuan, Donghai Guan

“…In recent years, self-paced learning (SPL) has attracted much attention due to its improvement to nonconvex optimization based machine learning algorithms. …”
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DAG-Based Swarm Learning Approach in Healthcare: A Survey by David Gana, Faisal Jamil

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Dissociating social reward learning and behavior in alcohol use disorder by Simon Jangard, Björn Lindström, Lotfi Khemiri, Nitya Jayaram-Lindström, Andreas Olsson

“…Finally, we applied reinforcement learning models to examine the computational properties of learning. …”
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Research on the Revolution of Multidimensional Learning Space in the Big Data Environment by Weihua Huang

“…However, the cluster computing system for hybrid big data applications has the characteristics of heterogeneous requirements, which makes more and more cluster resource managers support fine-grained multidimensional learning resource management. In this context, it is oriented to multiusers of multidimensional learning resources. …”
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Service quality for continuing higher education in online learning environments by Jesús Enrique Quijano Caicedo, Sandra Patricia Rojas Berrio, Óscar Javier Robayo Pinzón

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